Faculty of Natural Sciences - Walter Sisulu University [PDF]

WALTER SISULU UNIVERSITY

MTHATHA CAMPUS Faculty of Health Sciences

www.wsu.ac.za

PROSPECTUS 2015

WALTER SISULU UNIVERSITY MTHATHA CAMPUS Prospectus 2015

Faculty of Natural Sciences

MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 …………………………………………………………………………………………………………………………………………………………………

How to use this prospectus Note this prospectus contains material and information applicable to the whole campus. It also contains detailed information and specific requirements applicable to programmes that are offered by the campus. This prospectus should be read in conjunction with theGeneral Prospectus which includes the University’s General Rules & Regulations, which is a valuable source of information. Students are encouraged to contact the Academic Head of the relevant campus if you are unsure of a rule or an interpretation.

Disclaimer Although the information contained in this prospectus has been compiled as accurately as possible, WSU accepts no responsibility for any errors or omissions. WSU reserves the right to make any necessary alterations to this prospectus as and when the need may arise. This prospectus is published for the 2015 academic year. Offering of programmes and/or courses not guaranteed Students should note that the offering of programmes and/or courses as described in this prospectus is not guaranteed and may be subject to change. The offering of programmes and/or courses is dependent on viable student enrolment numbers being met (as determined by HOD) and physical and human resources being available.

Faculty overview l page i

Walter Sisulu University - Make your dreams come true


In this Prospectus:

How to use this Prospectus Page i 1. Introduction & Welcome by the Dean of the Faculty

3. Staff

4.1. Department of Biological & Enviromental Sciences

4.3. Department of Physical Sciences

Page 1

2. Faculty Vision & Mission

Page 3

4. Departments & Programmes

Page 13

4.2. Department of Mathematical Sciences & Computing

Page 82

Page 6

Page 13

Page 188


MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015

…………………………………………………………………………………………………………………………………………………………

1. INTRODUCTION AND WELCOME BY THE DEAN OF THE FACULTY Welcome to the Faculty of Natural Sciences. We offer a wide range of highly acclaimed programmes at undergraduate and graduate levels. Our graduates find employment in the private sector and with government and there is renewed effort by the faculty to guide our graduates to create their own businesses and remain selfreliant. The faculty makes every effort to ensure that your stay with us is as comfortable as possible. You will meet fellow students and staff coming from different parts of the country and interestingly also others coming from other countries other than South Africa. You will learn to live and work in unison with all these people and it is this universality of people, cultures and knowledge that constitutes a university. I assure you that your stay with us will be an enjoyable one. We have a Science Student Society, a grouping of our young, friendly and hardworking students who are ready to welcome you and work with you throughout your stay with us. As you may be aware, our government has prioritised amongst other disciplines Mathematics and Science as focus areas for development. Therefore, the Faculty of Natural Sciences falls within this focus and you should be proud to be part of this exceptional group of people who are passionate about mathematics and scientific innovation, the cornerstones of our economy and development. By the time you leave our faculty you shall be well trained and skilled to face the challenges of the work environment. 1.1

Faculty of Natural Sciences

The Faculty of Natural Sciences comprises the Department of Biological and Environmental Sciences, Physical Sciences, Mathematics and Computing. It offers undergraduate and postgraduate programmes, ranging from Diplomas, Bachelor of Science, Bachelor of Science (Honours) and Master of Science. The faculty is located at the Nelson Mandela Drive site of the Mthatha campus. 1.2

Contact Details

Dean of Faculty Biological & Environmental Sciences

Mathematics Sciences & Computing

Physical Sciences

Prof N D Jumbam 047 502 2186

1.3

Merger of Legacy Institutions

Walter Sisulu University was founded on 1 July 2005 through the merger of the University of Transkei (Unitra), Eastern Cape Technikon and Border Technikon. Apart from Education, Humanities and Social Sciences that these three institutions contributed to the merger, the University of Transkei also brought along the basic sciences, while the Eastern Cape and Border Technikon brought along the engineering sciences and technology. This newly merged comprehensive higher education institution has positioned itself as a developmental university with the need to increase efficiency and service delivery of its programmes across all campuses.

Faculty overview l page 1



1.4

Two Tier Governance Structure

The programmes and qualifications offered in the faculty are managed by the dean. The departments are managed by Heads of Departments (HoD). They are in charge of courses and modules together with the learning and teaching activities. They see to it that the quality of total service rendered in the departments is maintained to the highest level. 1.5

Academic Focus of the Faculty

The academic focus of the faculty is to offer mathematics and basic science programmes that respond to the needs of the work environment. Students are so well prepared that they are able to respond competently by using their knowledge and judgment in addressing discipline related problems and challenges.




2. 2. 2.1

FACULTY VISION AND MISSION Vision of the Faculty

The faculty will be a leading centre offering a range of programmes geared towards producing human capital that uses acquired knowledge in addressing workplace challenges of sustainable development and poverty alleviation.

2.2

Mission of the Faculty

In pursuit of its vision, the faculty will be at the forefront of research and innovation generating marketable new knowledge and products that in turn will lead to new startup businesses. Our highly skilled graduates will remain marketable but not only as job seekers as was traditionally the case but capable of starting up small businesses and creating job opportunities not only for themselves but for the broader community. The faculty prides itself of highly qualified and competent academic staff whose function is not only that of teaching, research and community engagement activities but also that of supporting and nurturing young and developing academic staff and ascertaining continuity. Where there are still gaps, the faculty will attend to them and make sure that students and staff are exposed to state-of-the-art equipment that necessitates the fulfillment of the research and teaching achievements listed. The faculty shall continue to make learning and teaching attractive and enjoyable to our students and staff. Excellent scholarship can only be achieved in an environment that is free of intimidation, friendly and secure. 2.3

Programmes Offered In the Faculty Department

Programmes

Duration (Fulltime)Years

Duration (Part-time) - Years

4

N/A

4

N/A

Bachelor of Science (Biological Sciences)

3

N/A

Bachelor of Science (Environmental Sciences)

3

N/A

Bachelor of Science in Pest Management

3

N/A

Bachelor of Science Honours (Botany)

1

2

Bachelor of Science Honours (Geography)

1

2

Bachelor of Science Honours (Zoology)

1

2

Master of Science

2

4

Bachelor of Science (Applied Mathematics): Extended

4

N/A

Bachelor of Science (Applied Statistical Science) : Extended

4

N/A

Bachelor of Science (Computer Science) : Extended

4

N/A

Bachelor of Science (Biological Sciences):Extended Biological & Bachelor of Science (Environmental Sciences):Extended Environmental Sciences

Mathematical Sciences and Computing




Physical Sciences

2.4

Bachelor of Science (Mathematics): Extended

4

N/A

Bachelor of Science (Applied Mathematics)

3

N/A

Bachelor of Science (Applied Statistical Science)

3

N/A

Bachelor of Science (Computer Science)

3

N/A

Bachelor of Science (Mathematics)

3

N/A

Bachelor of Science Honours (Applied Statistical Sciences)

1

2

Bachelor of Science Honours (Mathematics)

1

2

Bachelor of Science Honours (Computer Science)

1

N/A

Master of Science (Statistical Science)

2

4

Master of Science (Applied Mathematics)

2

4

Master of Science (Mathematics)

2

4

Bachelor of Science Honours (Applied Statistical Sciences)

1

2

Bachelor of Science in Chemistry: Extended

4

N/A

Bachelor of Science Extended (Physics with Chemistry )

4

N/A

Bachelor of Science Extended (Physics with Mathematics)

4

N/A

Bachelor of Science in Chemistry

3

N/A

Bachelor of Science (Physics with Chemistry)

3

N/A

Bachelor of Science (Physics with Mathematics)

3

N/A

Bachelor of Science Honours (Chemistry)

1

2

Bachelor of Science Honours (Physics)

1

2

Master of Science

2

4

Departmental Seminars

There are regular departmental seminars organised by a seminar coordinator appointed by the Head of Department. All academic members of staff take turns in presentations interspersed by presentations from research students. 2.5

General Programme Rules

An attendance of at least 80% in all lectures (theory and practical) is compulsory for all students. A student with an attendance of less than 80% is not eligible to write any examination in that subject. An attendance register must be signed by the student during the first part of the lecture. This register will either be distributed by the lecturer or by the tutor(s) or demonstrator(s). Assessment and examinations of all undergraduate and honours programmes shall take place on a continual basis throughout the course of each module culminating in a written or oral examination at the end of each



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… semester. Weighting shall be in the ratio of 60%, continuous assessment to 40% written or oral examination. The overall aggregate pass mark shall be 50%. A student with an overall mark of between 40% and 50% subject to a minimum mark of 40% for both continuous assessment and final examination qualifies for a supplementary examination. However, a student who fails a last outstanding module in a semester qualifies to write the supplementary examination of that particular semester. A student qualifies for an automatic supplementary examination in a particular semester, if the module is the last outstanding module for the student to complete his/her studies in that particular semester. A programme in each discipline must contain at least 50% of credits from modules/courses in that discipline. Credits brought from other institutions may be recognised but must be less than 50% of WSU credits. A student must register for courses/modules worth a minimum of 120 and a maximum of 128 credits each year. To proceed to the next level of study a student must pass two-thirds of what he/she was registered in the year preceding the progression year and meet the prerequisites of the courses he/she intends to register. For a student to graduate he/she must have accumulated a minimum of 360 credits through his/her period of study (provided he/she met the minimum of 120 credits each year), and passed all the core courses/modules. If there was a year that a student did not meet the minimum of 120 credits, he/she will be required to come for an extra time to make up for the shortfall. The extra 8 credits on top of 120 credits cannot be used to cover for the short falls. Students will be allowed to register for subjects in higher levels provided prerequisites for the subjects are met and that there are no timetable clashes. No concurrent registration is allowed i.e., a level two or three student will not be allowed to register a module of which pre-requisites he/she does not meet.. 2.6

Retention of Semester Mark

A STUDENT WITH A SEMESTER MARK (DP) OF NOT LESS THAN 60% MAY APPLY TO RETAIN IT FOR ONE ACADEMIC YEAR ONLY. .

2.7

Exclusion Rules

The maximum permissible period of study of a National Diploma or Degree is five years. When a student reaches the maximum allowed period for the programme, he/she will not be allowed to re-register for the same programme, as per university rules. The maximum number of years an extended programme student is allowed to spend in the two year period is three, beyond which he/she will be excluded from the programme. If an extended programme students fails in his/her first, he/she is not permitted to fail in the second year, else he/she will be excluded from the programme, as per university rules. If a student fails a module twice, he/she will be excluded from the module as per university rules.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… An excluded student can, however, present himself/herself for re-registration after proof that he/she has rehabilitated himself/herself after one year and shows the potential of completing the programme within a minimum stipulated period, as per university rules. 2.8

Progression Rules for Programmes in the Faculty of Natural Sciences

Students should take note of the institutional rules G7-G11 on re-admission of students to undergraduate programmes. A student that progresses at a slower rate than that set out below, will be refused further readmission on the grounds of “poor academic performance”. 2.8.1

Three year BSc (mainstream)

At the end of academic period (year)

1

2

3

4

5

Minimum credits student must have obtained

72

144

216

288

360

2.8.1

Four year BSc (extended)

At the end of academic period (year)

1

2

3

4

5

6

Minimum credits student must have obtained

80

160

240

320

400

480

Notes: Credits refer to SAQA credits; academic period refers to each year that the student was enrolled.

3. 3. STAFF 3.1

Faculty Administrative Staff

Dean : Faculty Administrator: Faculty Secretary:

Prof ND Jumbam, MSc (THL-Merseburg), PhD (TU-Graz), CChem,MRSC.

3.2

Faculty Academic Staff

3.2.1

Department of Biological and Environmental Sciences

3.2.1.1 Academic Staff

Professor Professor Professor Professor

Vacant Vacant Vacant Dr BN Nkeh-Chungag, BSc, MSc (Yaounde), PhD (Wits)



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Associate Professor Associate Professor Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer HOD Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Lecturer Junior Lecturer Junior Lecturer Junior Lecturer

Vacant Vacant Vacant Vacant Vacant Vacant Vacant Dr GE Okuthe, BSc, MSc (Astrakhan), MSc (Guelph), PhD (Wits) Dr NJ Ntoni, BSc Hons, HDE, (UFH), MSc, PhD (JSU) Dr A Niba, BSc Hons (Calabar), MSc (Ibadan), MSc (Natal), PhD (UKZN) Dr CM Musampa, MSc Econ, PhD (London) Vacant Mr R Kwaye MSc (Nigeria) Dr IM Egbichi, BSc Hons, MSc, PhD (Stellenbosch) Mr SG Cawe, BSc (UBS), PostgradDip Rural Survey (ITC,Netherlands), MSc (Unitra) Ms N Gxaba, BSc (Unitra), BSc Hons, MSc (UWC) Mrs B Thomas, BSc Hons (WSU), MSc (Kerala, India) Dr S Kuria, BSc Hons, MSc (Nairobi, Kenya), PhD (Rhodes) Dr MDV Nakin, BSc Hons, HDE, MSc (Unitra), PhD (Rhodes) Dr FK Kuriah, BSc (Jabalpur), MSc (Mohanial), PhD (Fort Hare) Ms VN Majiza, BSc Hons, HDE, MSc (Unitra) Dr M Mathew, B.Sc, MSc (Kerala, India), BEd (Bombay, India), PhD(MG University) Mr MK Soviti, BA Hons (Vista), MSc (Rhodes) Mrs A Abraham, BA (Kerala), BA Hons, MSca), HDE (Unitra) Mrs T Thomas, MSc (Kerala) Mr A Bango, BA Ed, BSc Hons (Unitra),MSc EM (UFS) Ms Z Magayiyana, BSCEN, BSG (Hons), MSc (WSU) Mrs S Thomas, BA Hons, BEd, MA (NEHU, India) Ms CKE Betek, BSc (UYDEI), BSc Hons, MSc (WSU) Vacant Miss T Loqo, BSc Hons (WSU), BSc MSc (WSU) Ms D Mnengi,BSc Hons, MSc (WSU)

3.2.1.2 Administrative and Academic Support Staff Senior Lab. Assistant Senior Lab. Assistant Snr Laboratory Assistant Snr Laboratory Assistant Lab Assistant Lab Assistant Lab Assistant Lab Assistant Lab Assistant Lab Assistant Laboratory Assistant Laboratory Assistant Laboratory Assistant Lab Assistant

Ms N Matiloshe, BSc Hons (Fort Hare), MSc (Rhodes) Ms N Gwadiso, BSc Hons (Unitra) Mr ABC Ntshanga, BA Ed, BA Hons (Unitra) Mr A Mngeni, BScEN, BSG (Hons)(WSU) Ms N Nombekela, BSc, BBibl Hons (Unitra) Ms J Phokwe, BSc Hons (Medunsa) Ms SK Ntongana, BSc (Unitra), BSc Hons (UFH) Mr WD Dzemo, BSc, BSc Hons, MSc (Dschang), MSc (WSU) Ms BN Mbolekwa, BSc, BSc Hons ,MSc (WSU) Ms Y Ndamane, BSc, BSc Hons ,MSc (WSU) Ms A Mbuyiswa, BSc Hons (WSU) Mr RN Mangaliso, BScEN, BSG(Hons)(WSU) Vacant Vacant



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Lab Assistant Lab Assistant Lab Technician Herbarium Curator Chief Museum curator Museum Curator Research Associate Senior Lab. Attendant Laboratory Attendant Laboratory Attendant Laboratory Attendant Lab Attendant Lab Attendant Laboratory Attendant Laboratory Attendant Lab Attendant 3.2.2

Vacant Vacant Mr D Wopula, BSc, BSc Hons (Unitra), MEd (WSU) Dr K Immelman, MSc (UCT), PhD (Natal) Vacant Mr HD Kali, BSc Hons (Unitra), B.Ed (Unisa), MSc (Wits) Mr EE Plumstead MSc (Unitra) Mr M Nkaitshana Ms ZV Abenta Ms D Funo Ms L Moshoeshoe Mrs DN Mangqobe Mrs PN Nomqolo Vacant Vacant Vacant

Department of Mathematical Sciences and Computing

3.2.2.1 Academic Staff

Applied Mathematics Professor Associate Professor Senior Lecturer Lecturer Part- time Mathematics Professor Professor Senior Lecturer Junior Lecturer Senior Lecturer Lecturer Lecturer Jnr Lecturer/Part- time Lecturer Lecturer Lecturer Statistics Professor Associate Professor

Vacant Dr W Sinkala Dr M Chaisi Mr. T F Nkalashe Vacant Vacant Vacant Mr VB Lucwaba Dr RM Panicker Mrs LS Abraham Vacant Mrs N Thomas Mr. A Otieno Vacant Vacant Vacant Dr. K. W. Binyavanga

Lecturer

Mr. J.S Nasila

Senior Lecturer Jnr Lecturer Jnr Lecturer/Temp

Dr. H Moolman Mr. L Majeke Mr. C.E Pokoo-Sonny

Jnr Lecturer/Part-time

Ms. N.N. Matu

BSc (UNZA), MSc (UZ), PhD (UKZN) BSc (NUL), MSc (Wales), PhD (UKZN) BSc, BSc (Hons)(Unitra) , MSc(WSU)

BSc, BSc, Hons (Unitra) BSc, B.Ed., MSc(M.G. Univ. Kerala). PhD (Rhodes) BSc, MSc, B.Ed. (MG university) BSc, BSc, Hons (Unitra) BSc, MSc(WSU)

BSc.Hons, MA (Dar es Salaam), PhD (Stellenbosch) BSc (Madras), Post Bacc. Diploma (SFU), M Sc (Simon Fraser) BSc, BSc(Hons) (Unitra), MSc (UFH) BA (Ghana), P.G.D.E (Cape Coast), BSc (Hons) (WSU), MSc (Rhodes) BSc, BSc (Hons) (UFH)



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Computer Sciences Lecturer Senior Lecturer Senior Lecturer Lecturer Lecturer Junior Lecturer Lab Assistant

Mr C Kabuya Vacant Vacant Mr S Nyika Mr L Tinarwo Mr B Mathew BSc (Hons) Mrs N Zilwa

BSc (Hons) (UNZA), MSc (UZ), OCP Java SE 7

BSc (Hons) (Cuba), MSc (NUST, Zimbabwe) BSc, BSc (Hons), MSc (Fort Hare) BSc (Hons) BSc , BSc (Hons) (WSU)

3.2.2.2 Administrative and Academic Support Staff Head of Department:

Vacant

Secretary:

Mrs V Ndamase - Nee Maliwa

ND: Office Management &Technology (ECT), PGCE (WSU)

Lab Assistant:

Mrs N Zilwa

BSc , BSc (Hons) (WSU)

3.2.3

Department of Physical Sciences

3.2.3.1 Academic Staff Professor Professor Professor Professor Associate Professor Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Senior Lecturer Lecturer Lecturer Lecturer Junior Lecturer Junior Lecturer Junior Lecturer

Dr ND Jumbam, MSc (THL-Merseburg), PhD (TU-Graz), CChem,MRSC Dr BS Nakani, MSc (Fort Hare), PhD (Wits) Dr A Oyedeji, BSc Hons, MSc (Uniport), PhD (Ibadan) Vacant Dr S Chikwembani, BSc (Malawi), MSc (Bristol, UK), PhD (Northwestern, USA) Dr JA Marks, BSc Hons (Wales), PhD (Sheffield) Dr W Masamba, BSc Hons, PhD (Louvain), CChem, MRSC Dr TE Nomkoko, MSc (Unitra), PhD (UCT) Dr PF Tseki, BSc (NUL), BSc Hons (SFU), MSc (Manitoba), PhD(Nottingham) Mr J Valiathazhel, BSc (Kerala), MEd (Rhodes), N5 Computer Prac, FDE Mathematics & Science, CertPrac Physical Science (RAU) Dr M Chirwa, BSc (Zambia), PG Dip ISP (Uppsala, Sweden), MSc (Zambia), PhD (Twente, Netherlands), Cert ICRIM (ICS & ICTP, Italy) Vacant Vacant Vacant Mr T Ngarivhume, BSc (Jose Verona), MSc (Havana) Mrs M Mathews, BSc, MSc & BEd (Kerala, India), MEd (Unitra) Vacant Mr T Dyeyi, BSc Hons (Bethel College, Kansas, USA) Mr JK Okyere-Bamfo, BSc Hons (Kumasi, Ghana) Mr B Mapuranga, BSc & BEd (Filial, Cuba), BSc Hons (Fort Hare)

3.2.3.2 Administrative and Academic Support Staff Academic Secretary Laboratory Tech (NMR) Laboratory Tech

Vacant Mr B Mzimkulu, Bsc Hons Chemistry Vacant



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Snr Lab Assistant Laboratory Assistant Laboratory Assistant Laboratory Assistant Senior Lab. Attendant Laboratory Attendant Laboratory Attendant

Mr G Kurian, BSc (Kerala), BEd (Bombay), BEd (Unitra), ACP (London), M.Ed (UDW) Mr M Ndungane, BSc (Fort Hare), BCompt (Unitra) Mr TF Nkalashe, BSc Hons (Unitra), MSc (WSU) Vacant Mrs PP Mtukwane, B Com(Ed) (Unitra) Vacant Vacant




…………………………………………………………………………………………………………………………………………………………

4.

DEPARTMENTS AND PROGRAMMES

4.1

DEPARTMENT OF BIOLOGICAL AND ENVIRONMENTAL SCIENCES

4.1.1

Information about the Department

The Department of is located at the Nelson Mandela Drive Campus of Walter Sisulu University. The Department is one of the most vibrant departments in the Faculty of Natural Sciences offering undergraduate and postgraduate programmes in Biological and Environmental Sciences. Its main focus areas include developmental biology, physiology, ecology, evolution, systematics, conservation and management of biodiversity particularly as it relates to the flora and fauna of the Eastern Cape, South Africa. The Department has a research hut about 150 m from the sea in Dwesa Nature Reserve (on the Wild Coast). Facilities are basic but it has running water, geyser, generator power, kitchen, shower and toilet, bench space and six beds. The geyser, fridge and stove are run on gas (at the cost of the researcher). 4.1.2

Vision and Mission of the Department

4.1.2.1 Vision

The Department strives to be a Centre of Excellence for teaching and research regionally as well as internationally, and to become a flagship department for Walter Sisulu University. The department is dynamic providing leadership for scientific solutions, excellence and synergistic exchange in basic and applied research and instruction with emphasis in Ecology, Conservation Biology and Environmental stress. 4.1.2.2 Mission

To realise its vision, the Department is committed to excellence in teaching, research and community service. Departmental programmes are geared to support strategic goals of the University as it positions itself to become a comprehensive university catering to the rural development needs of the Eastern Cape and the rest of South Africa. The Department is committed to providing an environment open to all sectors of the community for the extension, sharing and application of knowledge in the biology of plants and animals including their evolution and environments through research and teaching of the highest institutional, regional, national and international standard.

Department of Biological & Environmental Sciences l page 13


MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.3

Goals of the Department

The Department aims to:          4.1.4

Recruit, retain and graduate an academically well prepared and diverse student body ready to contribute to nation building. Train students in biological and environmental sciences relevant to local issues and for careers elsewhere. Give young people in the Eastern Cape the hope and opportunity of aspiring to and realising their economic and scientific dreams. Equip its graduates with entrepreneurial skills that will make them self-reliant following completion of their studies. Attract and retain well qualified, competent and motivated staff that will maintain the highest possible standards of teaching, research and community engagement programmes. Sustain a supportive academic environment which encourages critical and independent thought. Make the department a major research centre with well-equipped laboratories with a focus on both basic and applied research relevant both to the Eastern Cape and the Nation. Develop collaborations that will enhance teaching, research and service missions locally, regionally, nationally and internationally. Increase the fiscal strength of the department while promoting teaching, research and service. Values of the Department

The department believes that students and staff have equal responsibilities to acquiring knowledge. Staff should maintain their expertise through ongoing investigations and presentations in pursuit of scholarly activities. In addition, students should develop in communication, analysis and critical thinking relevant to biological and environmental sciences and other disciplines. 4.1.5

Student Societies in the Department

Science Students Society. 4.1.6

Programmes in the Department

4.1.7

Purpose of Qualification

4.1.7.1 Bachelor of Science (Biological Sciences) The programme is designed to provide students with a basic Biological Sciences Degree programme which will draw upon courses in Chemistry and Physics and will provide the foundation for further study at the graduate level in Biology/Zoology and/or health sciences.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.7.2 Bachelor of Science (Environmental Studies) The aim of the programme is to produce graduates that can be involved and participate in finding solutions to contemporary environmental issues. 4.1.7.3 Bachelor of Science (Pest Management) Graduates with a Degree in Pest Management can work with the Pest Risk Analysis (PRA) division of the Dept of Agriculture, agro-allied chemical and food industries, Pest control industries/organisations, Natural resource conservation establishments. Typical employers: Dept of Agriculture, Dept of Environmental Affairs & Tourism (DEAT), Endangered Wildlife Trust, South African National Biodiversity Institute (SANBI), Agricultural Research Council (ARC), Council for Scientific and Industrial research (CSIR). 4.1.7.4 Bachelor of Science Honours (Botany) Graduates may work for Department of Education, Department of Environmental Affairs, Department of Agriculture Forestry and Fisheries (SANBI, ARC, etc), Department of Water Affairs and Forestry, Department of Science and Technology (CSIR, etc), private consultancies, Medical Research Council, municipalities, universities, etc. 4.1.7.5 Bachelor of Science Honours (Geography) The Programme is designed to introduce students with undergraduate background in Environmental Science, Environmental Studies, Environmental Management, and Geography to the advanced techniques of analysing and evaluating environmental challenges through advanced courses and research 4.1.7.6 Bachelor of Science Honours (Zoology)

The BSc (Hons) Zoology can be viewed as a fast-track programme for academically-able students who aspire to do an MSc in Zoology/Biology/Science or a PhD by thesis only. Others who do not wish to study for more than four years may take the BSc (Hons) degree simply to provide a stronger qualification that enhances their prospects of a career in Zoology. The purpose of this programme is to provide a postgraduate course to build on knowledge gained from a degree in zoology, botany, biological sciences or a related field. The aims are to develop problem solving skills and the abilities to produce, understand and critically evaluate information in a range of biological sciences. Learners are encouraged to learn both the principles of biology and practical applications such as the sustainable management and conservation of natural resources. On completion of the course, students will not only have improved their knowledge of and skills in zoology, but they can also be confident that they will fit in easily with research groups elsewhere.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.7.7 Master of Science

The aim is to allow students to apply the skills they acquired from the Honours programme to analyse and address problems and contribute to sustainable development through research. The MSc is designed to be a fast-track programme for academically able students who aspire to do a PhD degree in Botany/Geography/Zoology or related fields by thesis only. The degree is based on an approved dissertation, although additional examination and coursework may be required. The prerequisites for entry to the MSc are a good pass (60%) in Botany, Zoology or Environmental Sciences at Honours level. Masters students are encouraged to publish their thesis research in international scientific journals. 4.1.8

Entrepreneurship and Professional Development of Students

The Department is committed to finding principles and mechanisms for allowing staff and students to be involved in commercial activities and thus have opportunities for direct, immediate and broad-based influence in a way that strengthens rather than compromises the programme. 4.1.9

Career Opportunities

4.1.9.1 Career Opportunities in Biological Sciences Graduates may work for Department of Education, Department of Environmental Affairs, Department of Agriculture (SANBI, ARC, etc), Department of Water Affairs and Forestry, Department of Science and Technology (CSIR, etc), private consultancies, Medical Research Council, municipalities, universities, etc 4.1.9.2 Career Opportunities in Environmental Sciences Environmental Impact Analysits/Practitioners and Management Experts; Environmental Managers; Officers; Planners; Consultants and Researchers; Surveyors; Foresters; Hydrologists; Cartographers; Geologists; Geographers; Water Resources Management Experts; Soil Scientists; Policy Planners; Tourism and Ecotourism Planners; Urban and Regional Planners; GIS Technicians/Managers and Remote Sensing Technicians/Experts Lecturers/Teachers and many more environmental related career opportunities depending on the area of specialisation. 4.1.9.3 Career Opportunities in Pest Management

Graduates with a Degree in Pest Management can work with the Pest Risk Analysis (PRA) division of the Dept of Agriculture, agro-allied chemical and food industries, Pest control industries/organisations, Natural resource conservation establishments. Typical employers: Dept of Agriculture, Dept of Environmental Affairs & Tourism (DEAT), Endangered Wildlife Trust, South African National Biodiversity Institute (SANBI), Agricultural Research Council (ARC), Council for Scientific and Industrial research (CSIR).



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.10 Exit Level Outcomes of the Programme 4.1.10.1


Basic Practical skills in carrying out scientific investigations on plants and animals (e.g. microscopy, biochemistry, plant and animal identification, chemical analysis of plants, ecological techniques, microbiological techniques, etc) Broad theoretical background of a variety of fields e.g. Evolutionary survey of the plant and animal kingdoms, Form and Function in plants and animals, Cell Biology, Genetics and Development, Ecological surveys and analyses, Application of principles to solve conservation issues, Plant Biochemistry, Plant Pathology, Plant Physiology, Animal Behaviour & Physiology, Economic Biology. 4.1.10.2

Bachelor of Science (Environmental Studies)

On completion of the programme, students should be able to understand, model, analyse, evaluate and solve different environmental challenges. 4.1.10.3

Bachelor of Science (Pest Management)

With a sound knowledge of animal (insect) ecology and Integrated Pest Management (IPM) philosophies, a BSc degree holder in Pest Management should be able to initiate, plan and implement adaptive pest control programmes in collaboration with necessary stake holders from the Department of Agriculture and other service providers; independently manipulate technical equipment, capture and analyse field and laboratory data and write periodic technical reports where necessary and play a very important role in pest control concept development, planning and implementation of IPM approaches as the need arises. 4.1.10.4

Bachelor of Science Honours

On completion of the programme, students should be able to model, describe, analyse, evaluate, and solve different challenges using different techniques and different settings. The students should also be able to conceptualise and design studies in any biological or environmental challenge. The students should be creative and independent thinkers. The programme aims to develop problem solving skills and the ability to produce, understand and critically evaluate information in a range of biological and environmental sciences. Learners are encouraged to learn both the principles of botany, geography and zoology and practical applications such as the sustainable management and conservation of natural resources. Skills acquired at undergraduate level are refined and students are given more independence to explore research questions in a project. The theoretical modules are more in-depth than the undergraduate ones and students are expected to read independently. They are introduced to Scientific Methodology and Biotechnology for the first time.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.10.5

Master of Science

This is a research based programme. Through this programme students will be expected to work independently (through the guidance of a research promoter) in evaluating and analysing biological and environmental challenges through their research project/s. An MSc graduate should be able to:        

Understand the title of the dissertation and can translate this into a rigorous research plan. Communicate (orally and written) scientific concepts clearly to a scientific audience. Present a scientific report and answer questions which follow from the report satisfactorily. Express scientific thoughts and findings in a paper. Respond to questions ; comments ;criticism satisfactorily about his/her research work. Participate constructively in a conference/congress in the midst of his/her peers. Undertake research work that contributes to the broad understanding of the field or discipline in which the research work is undertaken. Write a fluent scientific report on his or her research work which includes: an acceptable format; proper use of the language ; precise communication of scientific findings; clear presentation and organisation of scientific results and findings; understanding of the scope and limitations of the research work undertaken; clear understanding of the findings from the research work undertaken; understanding of the conclusions that may be inferred from the work in advancing science.

4.1.11

Programme Information

4.1.11.1

Minimum Admission Requirements

4.1.11.1.1


BSc (4 year Extended programme) Senior Certificate with Matric exemption. SG (D) or HG (E) in Mathematics, Physical Science, Life Sciences and English. Using the new National Senior Certificate for admission into the 4 year B Sc degree, certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 in the range 50 % to 54 % in Mathematics, Physical Science, Life Sciences and English and completion of SATAP tests, BSc (3 year programme) Senior Certificate with Matric exemption. SG (D) or HG (E) in Mathematics, Physical Science, Life Sciences and English and completion of SATAP tests. Using the new National Senior Certificate, certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 starting from 55 % and above in Mathematics, Physical Science, Life Sciences and English and completion of SATAP tests.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.11.1.2

Bachelor of Science Environmental Studies: Extended

Students may be considered for the extended programme in environmental studies (a 4 year degree programme).The Extended Programme students have to meet the following entry requirements: NSC qualifying to proceed with a “Degree” programme. NSC achievement rating of 4 in the range of 50 to 54% in English, Mathematics, Physical Science and either Geography, Life Sciences, Agriculture or Tourism. Prospective students can also apply for mature age exemption if they are over the age of 23. Bachelor of Science (Environmental Studies) Senior Certificate with Matric exemption. SG (D) or HG (E) in Mathematics, English, Physical Science and either Geography, Life Sciences, Agriculture or Tourism. For the NSC curriculum, a minimum achievement rating of 4 (55 and above) is required for the same subjects together with APS score of 28 from the 7 subjects that the students took in Grade 12. A student with a school leaving certificate may be admitted provided that he or she has obtained a certificate of conditional exemption from the matriculation board. 4.1.11.1.3

Bachelor of Science (Pest Management)

Candidates that qualify for admission into Level 1 BSc programme in Pest Management must have a minimum achievement rating of 4 in English, Mathematics, Physical Science and Life Sciences. Diploma holders in Pest Management wishing to do a BSc in Pest Management must apply in writing through the Head of Department to be considered for admission. 4.1.11.1.4


Entry is by selection. Bachelor of Science in Biological, Environmental Science/Studies/Geography or equivalent qualification and an average of 60% for third year Botany, Zoology or Environmental Sciences modules is required. Students who do not meet this requirement but interested will have to undergo departmental assessment to establish their potential to undertake the programme. Note: Each case will be evaluated on its own merit by the HoD in consultation with the relevant Lecturers. 4.1.11.1.5

Master of Science

Entry is by selection and a BSc (Hons) is a prerequisite for admission to the programme. In addition, a prospective student should also submit a proposal of no less than 200 words. Students who do not meet this requirement but interested will have to undergo departmental assessment to establish their potential to undertake the programme. Note: Each case will be evaluated on its own merit by the HoD in consultation with the relevant Lecturers.




Selection Criteria into Undergraduate Programmes

In addition to the minimum admission requirements, students aspiring for a Bachelor’s degree must show proficiency in English language. For students who do not meet the normal entry requirements, the best scores in Natural Science shall be considered. A Standardised Assessment Test for Admission and Placement (SATAP) is offered and successful students may be considered for the Extended Bachelor of Science degree in Biological or Environmental Sciences. 4.1.13

General Programme Rules

4.1.13.1

Bachelor of Science (Biological or Environmental Sciences)

The programme takes a minimum of three years and a maximum of five years to complete. A student will not graduate if he/she has not completed his/her core and foundation modules. A student must accumulate a minimum of 120 and a maximum of 128 credits for him/her to have completed a year, failing which he/she will have to complete the outstanding credits in the fourth or fifth year. Credits accumulated on and above 120 cannot be used to cover up for the shortfalls in any year. Concurrent registration is not permitted. A student is not allowed to repeat a course more than once; such a student will be excluded on academic grounds. A student must attain a minimum semester mark of 40% in a module to be allowed to write examinations on it. 80% attendance of a module is a must for a student to be allowed to write examinations. Even if a student attains a minimum semester mark of 40% in that module, he/she will not be allowed to sit for that module’s examination if this requirement is not met. 4.1.13.2


The programme is by coursework and mini research. The minimum duration of study is one year (fulltime) and two years (part-time) and maximum is two years (fulltime) and four years (part-time). A student is expected, within a minimum of one year (without exception) to develop a proposal on his/her own topic or a topic given to her/him by his/her supervisor, present it in a departmental seminar, conduct research and orally present the results in a departmental seminar and hand in a written report of such findings for further assessment by internal and external examiners. A student will only be granted permission to graduate once all the internal and external quality assurance requirements have been met. 4.1.13.3

Master of Science

All Master’s students are expected, within a minimum of two years (without exception) to develop a proposal on their own topic or on a topic given to them and present in a departmental seminar, conduct research and orally present their results in a departmental seminar and if possible in national and international conferences. A written thesis of his/her findings is assessed by internal and external examiners. Masters proposals must serve at the higher degrees committees of the faculty and university within three months of registration. On completion, a student will only be granted permission to graduate once all the internal and external quality assurance requirements have been met.




Progression Rules

To progress from year to year the student must fulfill the requirements of the curriculum. If a student has successfully completed 50% of the modules in a level, they may register for modules in the next level (Rule G17.1). 4.1.15

Completion Rules

Students must complete a minimum of 360 credits for a Bachelor of Science programme or 480 credits for the Extended Bachelor of Science programme. All the foundation and core modules must be passed. A minimum of 120 (max 128) credits per level are required. Papers of third year modules are sent to external examiners for moderation. 4.1.15.


To qualify for an Honours degree a minimum of 120 credits is required. All papers and the project dissertation are moderated by external examiners. 4.1.15.2

Master of Science

Two external examiners and one internal examiner assess the dissertation. 4.1.16

Curriculum

4.1.16.1

Bachelor of Science (Biological Sciences) Extended Programme

The first 2 years of extended B Sc Biological Sciences (4years) = BScB I Year level 1

Semester

Course/Module

Code

Credits

1

Extended Cell Biology Genetics I

EBSP1M1

16

Extended General Chemistry I

ECHE1M1

16

Academic Literacy I

EACL1M1

8

Extended Cell Biology Genetics II

EBSP1M2

16

Extended Organic & Physical Chemistry II

EOPC1M2

16

ELSK1M0

8

EACL1M2

8

Foundation

2

Foundation Life Skills Academic Literacy II



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Total core credits

88

Electives required

32

Total Credits

120

LEVEL 2 2

1

Extended Plant Form & Function*

EPFU1M1

8

Extended Animal Form & Function

EAFF1M1

8

EGCH1M1

16

Computer Literacy I

ECLT1M1

8

Extended Plant Diversity*

EPDI1M2

8

Extended Animal diversity

EADI1M1

8

Extended Organic & Physical Chemistry II

EOPC1M2

16

ECLT1M2

8

Extended General Chemistry II

Foundation 2

Foundation

Computer Literacy II

Total core credits

80

Electives required

40

Total Credits

120

* Core syllabi are the same as those of the BSc programme.

Electives Year level

Semester

Course/Module

Code

Credits

1

1

Integrated Mathematics I

EMAT1M1

16

1

2

Integrated Mathematics II

EMAT1M2

16

2

1

Physics for Life Sciences I

PHY11M3

16

2

1

Integrated Mathematics III

EIMT1M1

16

2

2

Physics for Life Sciences II

PHY12M4

16

2

2

Integrated Mathematics IV

EIMT1M2

16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.16.2 BSc Biological Sciences Programme Year Level

Semester

Course/Module

Code

1

1

Plant Form & Function

BSP11M1 8

Animal Form & Function

BSP11M2 8

General Chemistry

CHE11M1 16

Animal Diversity

BSP11M5 8

Foundation

English for Academic purposes

ELS11M5 8

2

Cell Biology & Genetics Development

BSP12M2 16

Plant Diversity

BSP12M4 8

General Chemistry

CHE12M1 16

English for Academic purposes

ELS12M5 8

Foundation

Credits

Total core credits

96

Electives

32

Total credits

128

Level 2 1

2

Ecology

BSP21M2 16

Higher Plant Systematics

BSP21M3 16

Applied Statistics

APS11M1 16

Biochemistry

BSP22M4 16

Invertebrates Form & Function

BSP22M5 16

Mycology & Microbiology

BSP22M6 16

Applied Statistics

APS12M1 16

Total core credits

112

Electives

8

Total credits

120

Level 3 Vertebrate Form & Function

BSP31M1 16

1




2

Plant Physiology

BSP31M2 16

Plant Pathology

BSP31M3 16

Animal Behaviour & Physiology

BSP32M5 16

Conservation Biology

BSP32M6 16

Economic Biology

BSP32M7 16

Total core credits

96

Electives

32

Total credits

128

Electives Year Level

Semester

Course/Module

Code

1

1

Physics for Life Sciences I OR

PHY11M3 16

Pre-Calculus and Calculus I

MAT11M1 16

Physics for Life Sciences II OR

PHY12M4 16

Pre-Calculus and Calculus II

MAT12M1 16

1

Understanding Human Behaviour

PSY11M1 8

2

Determinants of Human Behaviour

PSY12M3 8

1

Introduction to the Physical Environment or Introduction to Environmental Survey Techniques

GEO11M2 16 or GEO11M1

2

Introduction to Environmental Survey Techniques.

GEO12M1 16

2

2

3

Credits

Students are required to take all core courses, specified foundation courses and enough elective courses giving them a total of between 120 and 128 credits in each year level.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.16.3 First 2 Years of BSc Environmental Studies Extended Programme1 (MT5601) Year Level

Semester

Course type

Course description

Code

Foundation Academic literacy I

1

1

2

1

2

2

Credits

EACL11M 8 1

Life Skills

ELSK10M 8 2

Core

Fundamentals of Environmental Survey Techniques

EGEO11M 16 1

Elective

Choose from semester 1 modules below

32

Foundation Academic literacy II

EACL12M 8 2

Core

Fundamentals of Physical Environment

EGEO12M 16 2

Elective

Choose from Semester 2 modules below

32

Foundation Computer Literacy I

ECLT11M 8 1

Core

Fundamentals Environmental Survey Techniques

EGEO11M 16 3

Elective


48

Foundation Computer Literacy II

ECLT12M 8 2

Core

Fundamentals of Human Environment

EGEO12M 16 4

Elective


48




At the end of the two years, the Extended programme students join the main stream at the second year level. List of Electives Year level

Semester

Module Description

Code

Credits


ECHE11M1

16

Extended Cell Biology Genetics I

EBSP11M1

8

Extended Organic and Physical Chemistry I

ECHE12M2

16


EBSP12M2

8

1

Applied Statistics

APS11M1

16

1

Extended Plant Form and Function

EBSP11M3

8

Extended Animal Form and Function

EBSP11M5

8

Introduction to Microeconomics

ECO11M1

16


PHY11M3

16

Insect Structure and Function

PMP11M1

16

Insects and Man

PMP11M2

16


ECHE11M3

16


EBSP12M4

8

Extended Organic and Physical Chemistry II

ECHE12M4

16

Extended Animal Diversity

EBSP12M6

8

Introduction to Macroeconomics

ECO12M2

16


PHY12M4

16

Insects and Environment

PMP12M1

16

Applied Statistics

APS12M1

16

1 1

2 2

2

2




Pre-requisites & co-requisites Courses/Modules

Pre-requisites Co-requisites

Code

Description

Code

EGEO11M1

Fundamentals of Environmental Techniques

EGEO12M2

EGEO12M2

Fundamentals of Physical Environment

EGEO11M1

EGEO11M3

Fundamentals of Environmental Survey Techniques

EGEO12M2

EGEO12M4

Fundamentals to Human Environment

EGEO11M1 and EGEO12M2

GEO11M1

Introduction to Environmental Survey Techniques

GEO11M2

Introduction to Physical Environment

GEO12M1


GEO12M3

Introduction to Human Environment

GEO21M1

Environmental Survey Techniques

GEO11M1/EGEO GEO22M1 11M1 & GEO12M1/EGEO 11M3

GEO21M2

Atmosphere and Terrain Analysis

GEO11M2/EGEO 12M2

GEO22M1


GEO11M1/EGEO GEO21M1 11M1 and GEO12M1/EGEO 11M3

GEO22M3

Environment and Development

GEO12M3 EGEO12M4

Code

EGEO12M4

GEO11M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Courses/Modules

Pre-requisites Co-requisites

GEO22M4

Soil Science

GEO11M2 EGEO12M2

GEO31M1

Geographical Information Systems

GEO21M1 and GEO22M1

GEO31M2

Terrestrial Resources Management

GEO21M2

GEO31M3

Tourism and Ecotourism

GEO22M3

GEO31M6

Research Methodology

GEO21M1 and GEO22M1

GEO32M1

Geographical Information Systems

GEO21M1 and GEO22M1

GEO32M4

Rural Resources Management

GEO22M3

GEO32M5

Environmental Impact Assessment

GEO22M3

GEO32M1

GEO31M1

* For level 1 modules the pre-requisite is admission to the programme.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.1.16.4 3-Year BSc Environmental Studies (MT5601) Year level

Semester Module type Course name

Code

1

1

Computer literacy

CLT11M1 8

Communication Skills

EDU10M1 8


GEO11M1 16

Introduction to Physical Environment

GEO11M2 16

Foundation

Core

2

Credits

Elective

Choose 16-credit worth modules from the list of semester 1 electives below

Foundation

Computer Literacy

CLT12M1 8

Core


GEO12M1 16

Introduction to Human Environment

GEO12M3 16

Elective


16

Summary: Core modules 64 credits; Foundation Modules 24 credits and Elective Modules 32 credits: Total 120

Core 1

2


GEO21M1 16

Atmosphere and Terrain Analysis

GEO21M2 16

Elective

Choose from the semester 1 electives below

Core


GEO22M1 16

Environment and Development

GEO22M3 16

Soil Science

GEO22M4 16

2 Elective

Choose from Semester 2 electives below

16 or 32

16- or 32

Summary: Core modules 80credits and Elective Modules 48 credits: Total 128



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Year level

Semester Module type Course name

Core Courses

Code

Geographic Information Systems

Credits

GEO31M1 16

Terrestrial Resources Management GEO31M2 16 1

3

Tourism and Eco-Tourism

GEO31M3 16


GEO31M6 16

Elective

Choose any from the list below

Core

Geographic Information Systems

GEO32M1 16

Rural Resource Management

GEO32M4 16

Environmental Impact Analysis

GEO32M5 16

2 Elective

Choose any from the list below

Summary: Core modules 112 credits and Elective Modules 8 or 16 credits: Total 120 or 128

List of Electives Year level

Semester

1 1

2

Module Description

Code

Credits

General Chemistry

CHE11M1 16

Applied Statistics

APS11M1 16

Plant Form and Function

BSP11M1 8

Animal Form and Function

BSP11M2 8

Animal Diversity

BSP11M5 8

Cell Biology

BSP12M2 16

Plant Diversity

BSP12M4 8


PHY11M3 16

Insect Structure and Function

PMP11M1 16

Insects and Man

PMP11M2 16

General Chemistry

CHE12M1 16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Year level

Semester

1 2

2

1

3 2

4.1.16.5

Module Description

Code

Credits

Applied Statistics

APS12M1 16

Animal Diversity

BSP11M5 8

Plant Diversity

BSP12M4 8


PHY12M4 16

Pesticides and Applications

PMP21M2 16

Introduction to Microeconomics

ECO11M1 16

Ecology

BSP21M2 16

Higher Plant Systematics

BSP21M3 16

Invertebrate Form and Function

BSP22M5 16

Insects and Environment

PMP12M1 16

Introduction to Macroeconomics

ECO12M2 16

Environmental Law

ENL42M2 8

Microeconomics

ECO21M2 8

Mathematical Economics

ECO21M3 8


BSP32M6 16

Economic Biology

BSP32M7 16

Integrated Pest Management

PMP32M3 16

Macroeconomics

ECO22M3 8

Development Economics

ECO22M4 8

Environmental Economics

ECO22M3 8

Bachelor of Science Pest Management Programme (PMP)

Year 1 Degree (BSc PMP) Year Level

Semester

1

1

Course/Module Insect Structure and Function Insects and Man General Chemistry I

Code EISF1M1 PMP11M2 CHE11M1

Credits 16 16 16

Plant Form & Function

BSP11M1

8



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Foundatio n

Computer Skills

CLT11M1

8

English for Academic Purposes

ELS11M5

8

2

Communication skills

COK11M0

8


ELS12M5

8

Plant Diversity

BSP12M4

8

Insects & Environment

PMP12M1

16

General Chemistry II

CHE12M1

16

Year 1 BSc PMP credits are 128 Year 2 Degree (BSc PMP) Year level

Semester

1

Course/Module

Code

Credits

Biochemistry

BSP22M4 16

Pesticides & Applications

PMP21M2 16

Crop Pests of South Africa

PMP2104 16

Applied Statistics

APS11M1 16

Mycology & Microbiology

BSP22M6 16

Introduction to Parasitology

PMP2202 16

Post Harvest Technology

PMP2203 16

Applied Statistics

APS12M1 16

2

2

Year 2 BSc PMP credits are 128 Year 3 BSc Pest Management Year level

Semester

Course/Module

Code

3

1

Helminthology

PMP3201 16*

Plant Physiology

BSP31M2 16

Plant Pathology

BSP31M3 16

Animal Behaviour & Physiology

BSP32M5 16

2

Credits



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Conservation Biology

BSP32M6 16

Insect Taxonomy

MP3202

Integrated Pest Management

PMP32M3 16

Economic Biology,

BSP32M7 16

Introduction to Physical environment

GEO11M2 16

16

Electives

Core

96

Electives

32

Total

128

4.1.16.6

Bachelor of Science Honours (Botany)

Year level

Semester

Course/Module

Code

Credits

1

1

Scientific Methodology

BOT41M8 10

1

1

GIS and Computer Literacy

BOT41M9 16

1

1

Statistical Methods

BOT4M10 16

1

1-2

Project

BOT41M6 30

Electives: Select three of these modules 1

2

Plant Systematics

BOT41M1 16

1

2

Ecology

BOT41M2 16

1

2

Plant Physiology

BOT41M3 16

1

2

Ethnobotany

BOT41M4 16

1

2

Biotechnology

BOT41M5 16

1

2


BOT41M7 16

4.1.16.7

Bachelor of Science Honours in Geography (MT5602): Option-A

Year Semester Course/Module Level

Code

Credits




1

Advanced GIS

GEO40M1

1

Advanced Research Methods

GEO40M3 16

1-2

Research Project

GEO40M4 32

1

Geomorphology

GEO40M5 16

Applied Environmental Science

GEO40M6 16

Applied Meteorology

GEO40M7 16

Water Resources Management

GEO40M8 16

2

24

Bachelor of Science Honours in Geography (MT5602): Option-B Year level

Semester Course/Module

Code

Credits

Advanced GIS

GEO40M1

24

Philosophy and Methodology

GEO40M2

16

Agricultural Geography

GEO41M22

16

1-2

Research Project

GEO40M4

32

2

Development

GEO40M9

16

Population Geography

GEO40M0

16

Settlement Geography

GEO41M1

16

1

1

4.1.16.8

Bachelor of Science Honours (Zoology)

Year Semester Course/Module Level 1

1 2

1-2

Code

Credits

Scientific Methodology

ZOO41M1 16

Eco-physiology

ZOO41M2 16

Ecology & Management of Terrestrial Resources

ZOO42M1 16

Ecology & Management of Marine & Coastal Resources

ZOO42M2 16

Ecology & Management of Freshwater Resources

ZOO42M3 16

Conservation Ecology

ZOO42M4 16

Project

ZOO42M5 40




Master of Science (Botany)

Year level


Code

1

1

Approved Proposal

BOT5101 24

1

2

Presentation of Proposal

BOT5102 24

2

3

Dissertation

BOT5103 144

2

4

Presentation of research at conference/symposium

BOT5104 48

4.1.16.10

Year level 1 2

Master of Science (Geography) (MT5603)


Code

1

Approved Proposal

GEO51M1 40

2

Conference/congress participation

GEO51M2 20

3

Dissertation

GEO51M3 120

TOTAL

4.1.16.11

2

Credits

180

Master of Science in Zoology (MZO50M0)

Year Semester Course/Module Level 1

Credits

Code

Credits

1

Approved Proposal

ZOO5101 40

2

Conference/Congress Participation

ZOO5102 20

3

Dissertation

ZOO5103 120

TOTAL

180




4.1.17

Articulation

4.1.17.1

Bachelor of Science in Biological or Environmental Sciences

Bachelor of Science Honours (Botany, Geography, Environmental Sciences/Studies or Zoology) or an equivalent qualification. 4.1.17.2

Bachelor of Science in Pest Management

Bachelor of Science Honours (Botany). 4.1.17.3

BSc Honours (Botany, Geography, Environmental Sciences/Studies or Zoology)

4.1.17.4

Master of Science

4.1.18

Core Syllabi of Subjects in the Department

4.1.18.1

Undergraduate Core Modules in Biological Sciences

Code

Course

NQF Level Credits

Semester

BSP11M1

PLANT FORM & FUNCTION

5

8

0.5

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

1 x 40 min

7

80

Content or Syllabus: Overview of the plant body, Primary structure of shoots, Leaf form and structure, Primary structure of roots, The role of roots, stems and leaves in asexual reproduction, Defensive mechanisms in plants, The flower, Pollination & Fertilisation, The seed and fruit, Dispersal of seeds and fruits. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: None




Module Code

Module Name

NQF Level Credits

Semester

BSP11M2

ANIMAL FORM & FUNCTION

5

8

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1x3h

1 x 50 min

7

80

Content or Syllabus

Theory: 1. Introduction. 2. Protection, support & movement. 3. The nervous system. 4. Senses. 5. The endocrine system. 6. Circulation & immunity. 7. Gas exchange. 8. Nutrition & Digestion. 9. Temperature Regulation. 10. Osmoregulation & excretion. 11. Reproduction & development. Practicals: Consist of six laboratory practicals.

Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Two class tests (CT), one assignment (AA), three tutorial assignments (TA), a practical assessment (PA). CA = 40% (CT) + 40%(PA) + 10%(AA) + 10%(TA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 48%.

Exclusion from module

A student will be excluded from the course after failing it twice. A student excluded from a course may be re-admitted after presenting a similar course from another university for credit.

Pre-requisites None.

Module Code

Module Name

NQF Level Credits

Semester

BSP11M5

ANIMAL DIVERSITY

5

8

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1x3h

1x1h

7

80

Content or Syllabus

Theory: History of Classification and Taxonomy; Kingdoms of Life; Kingdom Protista: Phylum Sarcodina. Phylum Ciliophora. Phylum Zoomastigophora. Phylum Sporozoa. Kingdom Animalia. Diagnostic features and/or life cycles of the various phyla of invertebrates starting from the simple (primitive) invertebrates e.g. sponges, cnidarians and helminthes to the complex (advanced) invertebrates e.g. annelids, arthropods, mollusks and



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… echinoderms; differences between protostomes and deuterostomes; Diagnostic features and various examples of chordates including urochordates, cephalochordates, hemichordates and vertebrates (fishes, amphibians, reptiles, aves and mammals) as well as their evolutionary relationships. Practicals: Learning biology skills; introduction to and how to use a microscope. Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Two tests (TT), one assignment (AA), seven practicals (PA). CA = 40% (TT) + 50% (PA) + 10% (AA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an OA between 40 % and 48%.




Module Code

Module Name

NQF Level Credits

Semester

BSP12M2

CELL BIOLOGY, GENETICS & DEVELOPMENT

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number Notional of weeks hours

4 x 50 min

1x3h

1 x 60 min

16

Content or Syllabus

A: Introductory Molecular and Cellular Biology; Biology – the big picture and general introduction. Prokaryotic and eukaryotic cell structure and biology. The Cellular environment; The frontier between cell and environment – the cell membrane structure, constituents, properties and trans-membrane transport, cell junctions and communications; Internal cellular support and localisation – the cytoskeleton; DNA structure replication and packaging; RNA transcription and modification, gene regulation, various forms of RNA (mRNA, rRNA, tRNA) and the genetic code: Translation and protein synthesis and modification – the endomembrane system; Genetic engineering/biotechnology; Genetic material concepts – prokaryotes and

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… eukaryotes, vegetative reproduction – the cell cycle in prokaryotes and eukaryotes; Virus structure and reproduction, cancer; Somatic tissues and differentiation. B: How cells capture and utilise energy; The following topics will be covered; energy and chemical activity in cells; enzymes and concepts of enzyme catalysis; aerobic respiration; photosynthetic and respiratory electron transport; chemiosmotic hypothesis; anaerobic respiration; photosynthetic carbon assimilation. C: Meiosis and Sexual Reproduction Many students have serious misconceptions about the process of meiosis and the topic is covered in a way, which should correct these and form a sound basis for understanding reproduction in animals. D: Mendelian Genetics An introduction to basic Mendelian genetics including monohybrid and dihybrid crosses, sex chromosomes and sex determination and some of the commoner genetic disorders. Emphasis will be on the correct use of terminology forming the basis for further genetic studies in second year. E: Animal development This series of lectures will be an introduction to animal embryology and will cover a range of examples. Further details will be provided at the beginning of the lectures. Practicals: Consist of twelve experiments chosen from approved cell & Molecular Biology sections. Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Three equally weighted block assessments and a summative assessment (TT), Three class tests (CT), two assignments (AA), ten tutorial assignments (TA). CA = 40% (TT) + 20% (PA) + 15%(TUT) + 25% (AA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.







Code

Course

NQF Level Credits

Semester

BSP12M4

PLANT DIVERSITY

5

8

0.5

Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1 x 180 min

1 x 40 min

7

80

Content or Syllabus: Introduction, Classification systems, Alternation of generations, Detailed descriptions of the general characteristics, classification, reproduction and evolutionary trends of the following kingdoms: Monera (Archaebacteria and Eubacteria), Mycetae (Zygomycotina, Ascomycotina and Basidiomycotina), Protista (Algae), Plantae (Bryophyta, Pteridophyta, Gymnospermae and Angiospermae) Practicals Morphology and reproduction of the four kingdoms Assessment:. Class tests, Essay, Assignment, Practical reports, Term test The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: None

Code

Course

NQF Level Credits

Semester

BSP21M2

ECOLOGY

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

14

160

Content or Syllabus: Basic ecosystem processes: photosynthesis, C3, C4 and CAM photosynthetic pathways, decomposition, energy flow, nutrient cycling, the hydrological, nitrogen, carbon and phosphorus cycles, primary production, secondary production, food chains and food web theory. Populations: unitary and modular organisms, density and dispersion, mortality and survival, survivorship curves, life and fecundity tables, age and size structure, discrete and continuous population growth, exponential and logistic growth, density dependence and density independence, modeling of population growth. Population interactions. Predator-prey systems, life-history patterns, reproductive effort, semelparity & iteroparity, r- and K-election. Community parameters. Species diversity. Island biogeography. Life forms. Succession models. Practicals: Lab simulations and field trips. Assessment:. Class tests, practical reports, assignment. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP11M1, BSP12M4, BSP12M2, BSP11M5, CHE11M1, CHE12M1 Concurrent Subjects: APS11M1, APS12M1




Code

Course

NQF Level Credits

Semester

BSP21M3

HIGHER PLANT SYSTEMATICS

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

14

160

Content: Introduction. Historical summary. Evolution and diversity of green plants: Evolutionary trends, Origin of gymnosperms, Origin of angiosperms. Code of Nomenclature. Taxonomic characters; Morphology: Terminology of: Roots, Stems, Leaves, Inflorescences, Flowers, Fruits, Ovules and seeds. Comparative Anatomy, Embryology, Cytology, Electron microscopy, Palynology, Palaeobotany, Chemosystematics, Ecological evidence, World Biomes, South African Biomes. Plant-animal interactions. Phylogenetics. Gymnosperms: Classification, Morphology, Reproductive features. Gymnosperm Family descriptions: Angiosperm classifications: Cronquist, Tahktajan, Angiosperm Phylogeny Group. Evolution, Variation and Biosystematics. Flowering plant family descriptions: Monosulcates, Eudicots/Tricolpates. Practicals Keying out of a variety of plant families. Recognition of trees on campus. Plant collection. Assessment: Essay. Assignment. Class tests. Practical reports. Term tests. Plant collection. Two field trips. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP11M1 and BSP12M4

Code

Course

NQF Level Credits

Semester

BSP22M4

BIOCHEMISTRY

6

16

1

Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1 x 180 min

0

14

160

Content or Syllabus: Introduction to biochemistry, Molecules of life: Chemical reactions and the molecules of life, Carbohydrates, Lipids, Proteins, Nucleotides and nucleic acid. Energy relationships in living things: Energy, the essence of life, Laws of thermodynamics, Couple reactions, ATP synthesis, Enzymes. Photosynthesis: Basic requirements of photosynthesis, Light dependent reactions, Light independent reactions. Respiration: Cellular respiration, Glycolysis, Aerobic respiration, Anaerobic respiration. DNA replication: Discovering DNA structure, Process of DNA replication, DNA and protein synthesis, Mechanism of protein synthesis, DNA and protein synthesis, RNA and protein synthesis. Lipid metabolism



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Assessment: The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: CHEM11M1, CHEM12M1 & BSP12M2

Module Code

Module Name

NQF Level Credits

Semester

BSP22M5

INVERTEBRATE FORM AND FUNCTION

6

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

2x3h

N/A

16

160

Content or Syllabus

Theory: 1. Kingdoms of Life. 2. The Metazoa. 3. Porifera. 4. Cnidaria. 5. Platyhelminths. 6. Mesozoa. 7. Nematoda. 8. Annelida. 9. Lophophorates. 10. Mollusca. 11. Arthropoda. 12. Onychophora. 13. Echinodermata. 14. Chordata. Practicals: Consist of twelve laboratory and field practicals.


Continuous Assessment (CA) (Compulsory): A summative assessment (TT), three class tests (CT), one assignment (AA), twelve practical assessments (PA). CA = 50% (PA) + 40% (CT) + 10%(AA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.



Pre-requisites Animal Form & Function (BSP11M2); Animal Diversity (BSP11M5)

Code

Course

NQF Level Credits

Semester

BSP22M6

MYCOLOGY AND MICROBIOLOGY

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

14

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Content or Syllabus: Introduction to bacterial and fungal morphologies. Bacterial and fungal classification. Environmental factors that govern the growth and development of bacteria. Bacteria and man. Food poisoning Practicals: Laboratory practicals Assessment:. Two theory tests. Assignment and practical reports The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP12M4 and BSP12M2

Module Code

Module Name

NQF Level Credits

Semester

BSP31M1

VERTEBRATE FORM & FUNCTION

7

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1x3h

N/A

13

160

Content or Syllabus

Theory: Comparative anatomy: Introduction to vertebrate form and function. Biological design – form and function. Integument. Head skeleton. Supporting tissue- skeleton. Axial skeleton. Appendicular skeleton. Muscular system and Locomotion. Digestive system. Respiratory system. Circulatory system. Reproductive system. Excretory system and osmoregulation. Nervous system. Evolution: What is evolution? The origin of life. Theories of evolution. Practicals: Histology – structural materials & integument. Cranial and post cranial skeleton. Muscles and locomotion. Digestive system. Circulatory system. Urinogenital system. Nervous system.


Continuous Assessment (CA) (Compulsory): 3 tests (40%) + 12 Practicals + 5 terminology tests (25%) + 3 assignments (20%) + 1 project (15%) Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.



Pre-requisites BSP11M2; BSP11M5




Code

Course

NQF Level Credits

Semester

BSP31M2

PLANT PHYSIOLOGY

7

16

1

Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1 x 180 min

0

14

160

Content or Syllabus: Water balance of plants: sources of water to plants, how water is absorbed and transported within plants, transpiration and various factors affecting it, stomata structure and functions, various experiments to determine the rate of transpiration. Plant mineral nutrition: micro and macro elements essential for the growth of plants. Stress physiology: various abiotic stresses on plant growth and development, yield and productivity including acclimation and adaptation techniques. Solute transport and phloem translocation, Regulation of plant development: role of hormones and their biochemistry, photoperiodism and phytochrome, Circadian rhythms & bud and seed germination. Practicals: Laboratory practicals Assessment:. Continuous assessment through assignments, practical reports and through theory tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisite: BSP22M4

Code

Course

NQF Level Credits

Semester

BSP31M3

PLANT PATHOLOGY

7

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of Notional weeks hours

4 x 50 min

1 x 180 min

0

14

160

Content or Syllabus: Causes of plant disease. Physiology of host-parasite relationships. Plant disease epidemiology. Plant disease management. Practicals: Laboratory practicals. Assessment:. Two theory tests. Assignment. Practical reports The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP11M1 and BSP22M6

Module Code

Module Name

NQF Level Credits

Semester

BSP32M5

ANIMAL BEHAVIOUR & PHYSIOLOGY

7

16

2

Lectures per

Pracs per week

Tutorials

Number

Notional



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… week

per week

of weeks

hours

0

12

160

4 x 50 min

1x3h

Content or Syllabus

Theory: Part One: Animal Behaviour General introduction –Brief review of link between natural selection, ecology and behaviour, quantification of behaviour; Control of behaviour Nervous, sensory, endocrine system & genetic control of behaviour Development of behaviour - Imprinting, learning, memory; Social behaviour - Evolution of social behaviour, advantages and disadvantages of group living, avoidance of predators; Aggression- external & internal influences of aggression, restraint of aggression, dominance, territoriality; Sexual behaviour - Proximate & ultimate factors & their influence on sexual behaviour, courtship displays & their significance, intrasexual and intersexual selection, mating systems – monogamy, polygamy, parents & offspring – parental investment, parental care & ecological factors; Altruism - Examples of altruistic behaviour between relatives, kin selection theory, recognition of kin, hypotheses about the evolution of co-operation & altruism; Communication- Functions of communication, channels/methods of communication, food location in honeybees; Navigation, orientation, biological clocks. Theory: Part Two: Animal Physiology Gaseous exchange - Comparison of water and air as respiratory media, gas exchange in water and air – comparison of the different vertebrate groups & insects, greenhouse effect; Blood & Circulation - Oxygen & carbon dioxide transport, oxygen and carbon dioxide dissociation curves, facilitated diffusion, blood coagulation & homeostasis; Feeding and digestion - Acquisition of food, digestion of carbohydrates, fats and proteins, vertebrate and invertebrate cellulose digestion; Energy metabolism- Determination of metabolic rate, metabolic rate and body size, forms of energy storage, problems of diving. Temperature - Tolerance to extremes in temperature in cold-blooded animals, temperature regulation in warm-blooded animals, body temperature in “cold-blooded” animals; Water and osmotic regulation Freshwater and marine invertebrates and vertebrates, terrestrial invertebrates and invertebrates, vertebrate kidneys, nitrogen excretion; Muscle - Types of muscle, contraction of muscle; Buoyancy Density reduction- reduction in the amount of heavy substances, replacement of heavy ions, removal of ions without replacement, increasing fats and oils, gas floats; Nervous control - Resting membrane potential, nerve impulses, electrical and chemical synapses, post-synaptic potential, pre-synaptic inhibition Hormonal control - Vertebrate and invertebrate endocrine systems; Sense Organs - Chemical, sound and sonar, touch and vibration, taste & smell, pressure, gravity, inertia, light, infrared radiation, thermal, electric and



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… magnetic; Transmission and sorting of sensory information; Practicals: Consist of 10 experiments chosen from the above two parts. Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Four tests 40 %, eight practicals 25 %, two assignments 20 % and one project 15 %. Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.



Pre-requisites BSP11M2; BSP11M5; BSP12M2; APS11M1; APS12M1

Module Code

Module Name

NQF Level Credits

Semester

BSP32M6

CONSERVATION BIOLOGY

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1x3h

0

16

160

Content or Syllabus

Theory: What is conservation biology?; The biology of human-caused extinctions; Systematics and endangered species conservation; Biology of small populations; Population viability analysis Species interactions and biodiversity conservation; Global biodiversity patterns; Diversity, stability, and ecosystem function; Habitat fragmentation; Theory and design of conservation reserves Design of reserve systems; Ecosystem management; Landscape change and conservation objectives; Species invasions; Conservation of genetic resources; Decision making under uncertainty: statistical decision theory; Assigning a value to biological diversity: philosophy, ethics, and conservation biology; Philosophical problems for an environmental ethics.


Continuous Assessment (CA): Three class tests (CT), two assignments (AA), practical Assessments (PA), Examination (EA) and reexamination (RA). CA = 40 % (CT) +30% (AA) +30% (PA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA).



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%. Exclusion from module


Pre-requisites BSP11M5; BSP12M4; BSP21M2 Code

Course

NQF Level Credits

Semester

BSP32M7

ECONOMIC BOTANY

7

8

0.5

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

80

Content or Syllabus: Plants and History. Plants as stimuli of exploration and exploitation. Pre-Columbian contacts between the Old and New worlds. Millets and cereals. Sugar producing plants. Legumes and oil producing plants. Beverages and fermentation. Rubber producing plants. Economic importance of trees. Drug plants. Gum, tannin, resin, etc.. Fibre producing plants. The future of plants in relation to humanity. Assessment:. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP21M3

Code

Course

NQF Level Credits

Semester

BSP32M7

ECONOMIC ZOOLOGY

7

8

0.5

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

80

Content or Syllabus

Theory: General introduction - -,Economic zoologyeconomic importance of insects, Beneficial and harmful insects, Pollinators of crops, Apiculture, Lac culture, Sericulture, Lac culture, Predators of pests, Parasites of pests, Productive insects, Scavengers. Neutral insects-injurious insects, Pests of agriculture and forestry & control, Pests of stored grains, Household pests, Insects of medical and veterinary importance, Mites & ticks and their control. Human diseases and their control, Arthropod vectors of diseases Pharmaceuticals from animals, Rats and their control, Aids. Model org



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… anisms used in research. Venomous snakes of Africa, Snake venom & its importance Human food value: Poultry, Economic importance of mammals: Piggery, Dairy industry, Leather industry, Wool industry, Fur & Fur industry. Aquaculture: Fish culture & systems, Prawn fishery, Pearl culture, Edible freshwater fishes of South Africa, By-products of fishing industry. Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Three equally weighted block assessments and a summative assessment (TT), four class tests (CT), three assignments (AA)), a practical assessment (PA). CA = 40 % (TT) + 20 % (PA) + 20 % (CT) + 20 % (AA) Examination (Compulsory): One examination (EA). The contribution of EA to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an OA between 40 % and 48%.



Pre-requisites BSP11M5; APS11M1; APS12M1

4.1.18.2

Undergraduate Core Modules in Environmental Sciences

Module Code

Module Name

NQF Level

Credits

Semester

EGEO11M1

FUNDAMENTALS OF ENVIRONMENTAL TECHNIQUES

5

16

1

Lectures per week

Practicals per week

Tutorials per Number week of weeks

Notional hours

4 x 1h

1x3h

2 x 1h

160

Content or Syllabus

1. The Science of the Earth, 2. Introduction to Cartography and Cartographic techniques, 3. Orthophoto analysis and Map Interpretation of Landscape Phenomena, 4. Analysis and Interpretation of Satellite Imagery, 5. Introduction to Remote Sensing and Geographic Information Systems, 6. Land Use Zoning and South African Land-Use Zones, and 7. Aerial Photo Mapping and Interpretation of physical and cultural Landscapes.

Assessment

Continuous Assessment (CA): 3 tests (50%), 3 assignments (10%), 10 practicals (30%), 10 tutorials (10 %).

13



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

EGEO12M2

FUNDAMENTALS OF PHYSICAL ENVIRONMENT

5

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

1x3h

2 x 1h

13

160

Content or Syllabus

The course is divided into three sections with equal weighting: 1. Introduction to Climatology, 2. Introduction to Geomorphology, and 3. Introduction to Biogeography. The theoretical contents will be as follows: Introduction to Geomorphology: study of landforms and land forming processes, plate tectonics, major features of the earth’s surface, hydrological cycle, earth’s resources and development. Introduction to Climatology: Distinction between weather and climate, characteristics and factors affecting climate, the climate of Africa and Southern Africa, weather elements and their measurements, types of precipitation, solar radiation and the factors affecting the receipt of solar radiation, long wave radiation and net radiation on the earth’s surface Introduction to Biogeography: concept of the biosphere and the domain of biogeography, structure of the biosphere, principle characteristics of the biosphere, concept of ecosystem, major ecosystems of the earth, magnitudes and classification of the world ecosystems (natural/artificial), human impact on the biosphere, ecology and ecodevelopment.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), presentations (30%), 10 tutorials (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.




Module Code

Module Name

NQF Level Credits

Semester

EGEO11M3

FUNDAMENTALS OF ENVIRONMENTAL SURVEY TECHNIQUES

5

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

1x3h

2 x 1h

13

160

Content or Syllabus

Theory: 1. Application of Satellites and Radar Imagery in Weather Forecasting , Analysis and interpretation of Drainage Systems, 3. Acquisition, interpretation, and presentation of Environmental Data, and 4. Surveying and Surveying Techniques

Assessment

Continuous Assessment (CA): 3 tests (50%), 3 assignments (10%), presentations (30%), 10 tutorials (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

EGEO12M4

FUNDAMENTALS OF THE HUMAN ENVIRONMENT

5

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

1x3h

2 x 1h

13

160

Content or Syllabus

1. Nature and Scope of the Human Environment, 2. Urbanisation and Urban Development, 3. Population and Migration, 4. Rural Settlements, 5. Resources and Resource Utilisation, 6. Economic, social and political processes in Human Environment, 7. Human as an Ecological Agent, 8. Spatial Structure and Organisation of Human Environment.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 practicals (30%), 10 tutorials (10 %).CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.




Module Code

Module Name

NQF Level Credits

Semester

GEO11M1

INTRODUCTION TO ENVIRONMENTAL SURVEY TECHNIQUES

5

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

3 x 1h

1x3h

2 x 1h

13

160

Content or Syllabus

1. The Science of the Earth, 2. Introduction to Cartography and Cartographic techniques, 3. Orthophoto analysis and Map Interpretation of Landscape Phenomena, 4. Analysis and Interpretation of Satellite Imagery, 5. Introduction to Remote Sensing and Geographic Information Systems, 6. Land Use Zoning and South African Land-Use Zones, and 7. Aerial Photo Mapping and Interpretation of physical and cultural Landscapes.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 practicals (30%), 10 tutorials (10 %).CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO11M2

INTRODUCTION TO THE PHYSICAL ENVIRONMENT

5

16

1

Lectures per week

Practicals per week

Tutorials

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

The course is divided into three sections with equal weighting: 1. Introduction to Climatology, 2. Introduction to Geomorphology, and 3. Introduction to Biogeography. The theoretical contents will be as follows: Introduction to Geomorphology: study of landforms and land forming processes, plate tectonics, major features of the earth’s surface, hydrological cycle, earth’s resources and development. Introduction to Climatology: Distinction between weather and climate, characteristics and factors affecting climate, the climate of Africa and Southern Africa, weather elements and their measurements, types of precipitation, solar radiation and the factors affecting the receipt of solar radiation, long wave radiation and net radiation on the earth’s surface Introduction to Biogeography: concept of the biosphere and the domain of



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… biogeography, structure of the biosphere, principle characteristics of the biosphere, concept of ecosystem, major ecosystems of the earth, magnitudes and classification of the world ecosystems (natural/artificial), human impact on the biosphere, ecology and eco-development.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), tutorials (30%), presentations (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO12M1

INTRODUCTION TO ENVIRONMENTAL SURVEY TECHNIQUES

5

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

2 x 1h

13

160

3 x 1h

Content or Syllabus

1. Application of Satellites and Radar Imagery in Weather Forecasting, Analysis and interpretation of Drainage Systems, 3. Acquisition, interpretation, and presentation of Environmental Data, and 4. Surveying and Surveying Techniques

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 practicals (30%), 10 tutorials (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO12M3

INTRODUCTION TO THE HUMAN ENVIRONMENT

5

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

2 x 1h

13

160

4 x 1h

Content or Syllabus

1. Nature and Scope of the Human Environment, 2. Urbanisation and Urban Development, 3. Population and Migration, 4. Rural Settlements, 5. Resources and Resource Utilisation, 6. Economic, social and political processes in Human Environment, 7. Human as an Ecological Agent, 8. Spatial Structure and Organization of Human Environment.




Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), tutorials (30%), presentations (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO21M1

ENVIRONMENTAL SURVEY TECHNIQUES

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

3 x 1h Content or Syllabus

Assessment

1. Characteristics of quantitative research, 2. Nature and scope of statistics, 3. Measures of Central Tendency, 4. Measures of Variation, 5. Measures of Relative Standing, 6. Measures of Shape, 7. Graphical Representation of Data, 8. Sampling and Sampling Techniques, and 9. Introduction to Inferential Statistics. Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 tutorials (40%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO21M2

ATMOSPHERE AND TERRAIN ANALYSIS

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

The course is divided into three distinct parts – Geomorphology, Climatology and Biogeography. The theoretical component of the course include: Geomorphology: classification of rocks and associated landforms; introduction to fluvial geomorphology; drainage basin studies; evolution of fluvial landscapes; Cycle of Erosion, Introduction to climatic Geomorphology; runoff and sediment yields; Theories of slopes and slope development; Application of geomorphic processes, e.g., mass movement in land management and conservation. Climatology: Atmospheric composition and structure – changes in



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… atmospheric pressure, thermal structures, gas laws, net radiation, greenhouse effect, mechanism of heat transfer; Introduction to general circulation – the heat engine-movements within atmosphere and ocean masses, laws of atmospheric motion, development of circulation models; the water balance concept Biogeography: structure and status of biogeography; Ecosystems and systems concepts; ecological succession, energy circuits; food chains and food webs; ecosystem diversity and stability; ecosystem population dynamics and ecological niche areas

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (30%), presentations (20%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO22M1

ENVIRONMENTAL SURVEY TECHNIQUES

6

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

2 x 1h

13

160


1. Characteristics of qualitative research, 2. Research paradigms, 3. types of qualitative research, 4. Qualitative data collection Techniques, and 5. Analysis and presentation of qualitative data.


Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 3 practicals (30%), 10 tutorials (10 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40% of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO22M3

ENVIRONMENT AND DEVELOPMENT

6

14

2

Lectures per week

Practicals per week

Tutorials per week



13

160

1. Causes and Effects of environmental degradation, 2. Population growth and resource utilisation and depletion, 3. Environmental issues and spatial



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… planning, 4. Air and water quality management,5. Hazardous and solid waste management, 6. Economic impacts of environmental controls, 7. Global, national and regional environmental planning and management programmes/initiatives, and 8. Sustainable development and sustainability.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (30%), presentations (20%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO22M4

SOIL SCIENCE

6

14

2

Lectures per week

Practicals per week

Tutorials per week


4 x 1h

1x3h

Content or Syllabus

1. Introduction to soil science, 2. Soil forming processes, 3. Pedology and adaphology, 4. Soil nomenclature and classification, 5. Characteristics of soil, 6. Soil plant water relationship, 7. World soils and soil mapping, and 8. Soil degradation and conservation.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 tutorials (40%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO31M1

GEOGRAPHIC INFORMATION SYSTEMS (GIS)

7

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

3 x 1h

1x3h

13

160

Content or Syllabus

1. Principles of remote sensing, 2. Basic processes in Remote Sensing, 3. Energy Sources and Electromagnetic Energy, 4. Matter-Energy interactions, 4. Definition and technical overview of GIS, 5. History of GIS, 6. Components of a GIS, 7. GIS Data collection and inputting, 8. GIS data modeling 9. GIS capabilities, and 10. Maps and GIS.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (10%), 10 practicals (30%), 10 tutorials (10 %).

13

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO31M2

TERRESTRIAL RESOURCES MANAGEMENT

7

12

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

1. Environmental problems, 2. Environmental crisis and laws of nature, 3. Environmental economics, 4. Food and water resources management, 5. Environmental pollution, and 6. Solid and hazardous waste management and their effects on the ecosystem.

Assessment

Continuous Assessment (CA):3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO 31M3

TOURISM AND ECOTOURISM

7

12

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

None

13

160

Content or Syllabus

Assessment

1. Introduction To Tourism and Ecotourism, 2. classification of Tourism, 3. Global, national and regional tourism trends, 4. Impacts of Tourism-led development and their management, 5. Pro-poor Tourism , 6.Tourism and poverty alleviation in South Africa (with case studies) and, 7. Tourism Entrepreneurship and Small Business Development in South Africa Continuous Assessment (CA):3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.




Module Code

Module Name

NQF Level Credits

Semester

GEO31M6

RESEARCH METHODOLOGY

7

14

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

None

13

160

Content or Syllabus

1. Introduction to the nature of research, 2. Basic concepts in research, 3. Process and techniques related to conducting research, 4. Research in environmental and geographical setting, 5. Preparation for conducting research, 6.Methods and sources of research data, 7. Data collection, capture, analysis and summarisation, 8. Presentation of research findings, and 9. Challenges for conducting research.

Assessment

Continuous Assessment (CA):3 tests (40%), 3 assignments (30%), 3 class exercises (10%), 2presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO32M1

GEOGRAPHIC INFORMATION SYSTEMS (GIS)

7

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

3 x 1h

1 x 3h

13

160

Content or Syllabus

1. Designing and managing a GIS database, 2. GIS application areas, 3. Remote Sensing Systems, 4. Data Acquisition and processing in Remote Sensing, 5. The state of GIS in developing countries, 6. Managing GIS projects, and 7. Answering questions using GIS.

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %)%). CA reduced to 60%i s the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.




Module Code

Module Name

NQF Level Credits

Semester

GEO32M4

RURAL RESOURCES MANAGEMENT

7

12

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

None

13

160

Content or Syllabus

1. Introduction to, and principles of, resource management, 2. Classification of rural resources, 3. Approaches to resources management, 4. Sustaining rural resources, 5. Conservation and managing rural resources, 6. Resources and ecosystem sustainability in rural areas (including problems associated with resource degradation – deforestation, biodiversity loss, poverty, desertification, etc), and, 7. Rural land use systems

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO32M5

ENVIRONMENTAL IMPACT ANALYSIS

7

12

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1h

None

13

160

Content or Syllabus

1. Introduction to key concepts, 2. History of and trends in Environmental Assessment, 3. Bunning debates in Environmental Assessments, 4. Steps in Environmental Assessment process, 5. Global and National Legal developments in Environmental Assessment process, 6.Parties to and responsibilities of Environmental Assessment Process, and, 7. Efficacy and efficiency of South Africa’s Environmental Assessment Process (including challenges thereof)

Assessment





Undergraduate Core modules in Pest Management

Code

Course

NQF Level Credits

Semester

EISF1M1

INSECT STRUCTURE & FUNCTION

5

1

Lectures per week

Practicals per week

Tutorials Number Notional per 2 weeks of weeks hours

4 x´ 50 min 1 x 3 h

16

1 x 60 min

12

160

Content or Syllabus: Theory: An overview of Class Insecta and their place in the Animal Kingdom. General morphology which covers head, thorax and abdomen. Description of structures located in the different body regions and their functions. Functions include locomotion (walking and flying), feeding and sensing the environment. Anatomy of insect body and how different structures functions to perform different life process such as digestion, excretion, respiration, reproduction etc. Practicals: Covers the external morphology: head and associated structures, thorax and associated structures and abdomen and associated structures. Dissection of insect specimens to display the tracheae system, digestion system, reproduction system, and excretion system. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: None.

Code

Course

NQF Level Credits

Semester

PMP11M2

INSECTS & MAN

5

16

1

Lectures per week

Practicals per 2weeks

Tutorials per week


4 x 50 min

1x3h

1 x 60 min

12

160

Field work 6´5h Content or Syllabus: Theory: 1. Foundational concepts 1: Insects in the hypothetical phylogeny of arthropods, annelids & onychophorans, reasons for insects success 2.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Synopsis of harmful & beneficial insects: Outline of man’s relationship with insects. 3. Foundational concepts 2. Importance of insect pest life cycles to their control. 4. Introduction to methods & principles in pest control. 5. Organisation in social insects & their benefits e.g. bees in apiculture 6. Basic aspects of pollination ecology. Practicals: Consist of four main experiments chosen from the following: Household/industrial pest control, Crop pests, Livestock/veterinary pests and medical entomology. Assessment:: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: None.

Code

Course

NQF Level Credits

Semester

PMP12M1

INSECTS & ENVIRONMENT

5

1

Lectures per week

Practicals per week


4 x 50 min

1 x 3 h x 6 plus Field work 4 x 5 h

1 x 60 min

16

12

160

Content or Syllabus: Theory: Defining Ecology, insect ecology and the common terms used in describing insect ecology. Populations and their characteristics. Factors affecting population change. Ecosystems and agro-ecosystems and their differences. The ecological role of insect outbreaks. Dynamics of insect life systems. Effect of insects on insect development. The relationship between insects and plants: types of feeding, disease transmission (bacterial, fungal and viral). Defense of plants against insects chemical, physical etc. Insect pollination of plants. The relationship of insects and animals Practicals: Laboratory practicals - involve identifying different groups of insects collected from the natural ecosystems and agro-ecosystems. Learning how to collect insect specimens using different sampling methods within the campus. Visits to nature reserves to observe insects on their natural habitats. Visit to farms to observe insects on agroecosystems. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: None.




Code

Course

NQF Level Credits

Semester

PMP21M2

PESTICIDES & APPLICATIONS

6

16

1

Lectures per week

Practicals per 2 weeks

Tutorials per week


4 x 50 min

1x3h

3 x 40 min

12

160

Field work 3 x 5 h Contentor Syllabus: Theory: A. Legislation & Safety Issues in pesticide usage in South Africa, B. Methods & Principles for insect & mite control, C. Herbicide usage in weed control, D. Introduction to Integrated Pest Management (IPM) with South African examples. Practicals: 4 practical sessions from the following main topics: Pesticide identification & classification, Safety usage of pesticides, Pesticide formulation, pesticide application Assessment:Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: CHE11M1,CHE12M1,PMP1101,PMP11M2,PMP12M1

Code

Course

NQF Level Credits

Semester

PMP2104

CROP PESTS OF SOUTHERN AFRICA

6

1

Lectures per week

Practicals per week


4 x 50 min

1 x 3 h x 6 plus

1 x 60 min

16

12

160

Field work 4 x 5 h Pre-requisites: PMP1101,PMP11M2,PMP12M1




Code

Course

NQF Level Credits

Semester

PMP2202

INTRODUCTION TO PARASITOLOGY

6

2

16

Content or Syllabus: Theory: What are crops and why grow crops. General factors affecting food production. Different categories of crops and pests associated with them. What crops grown in Mthatha, Eastern Capes and South Africa as a whole. Description of the life cycles of selected pests representing each category of pests. Pests mainly covered are the insect pests. However, other pests such as birds, weeds, rodents etc are briefly covered. Fruit pests, horticultural pests, cereal pests, tree crop pests (cocoa, coffee, palms, etc). Practicals: Laboratory practicals involve identifying different types of damages caused by pests to crops. Identifying the common features used in identifying the pests and drawing those features using stereo microscopes. Fieldwork which involves visiting farming communities within Mthatha. The students learn from farmers the different pests affecting their crops. Students learn to identify the damage/s caused on the crops. Identifying pests on the fields and also collecting specimens for laboratory work. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1 x 3 h

1 x 60 min

12

160

Content or Syllabus: Theory: 1. Foundational concepts 1: Introductory Parasitology: parasites and the nature of parasitism; effects of parasite- host interactions; host resistance & immunity to parasites. 2. The biology of the common parasites of domestic animals and diseases associated with them. The focus is on parasites drawn from: Protozoa; Nematoda; Trematoda; Cestoda and Arthropoda Practicals: Involve identification of the parasites studied; application of insecticides for pest control. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: CHE11M1,CHE12M1,PMP1101,PMP11M2,PMP12M1




Code

Course

NQF Level Credits

Semester

PMP2203

POST HARVEST TECHNOLOGY

6

16

1

Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1x3h

1 x 60 min

12

160

Field work 5 x 5 h Content or Syllabus: Theory: Importance of fresh agricultural produce in human nutrition, Economic importance of post harvest (PH) losses of agricultural produce, Major types of fresh produce, PH physiology, Sources of PH damage to fresh produce, Effects of PH harvesting & handling on quality of produce, packaging & hauling, Grain storage physiology, Types of Grain spoilage & storage pest detection methods, Grain storage pests & their control Practicals: Introduction to PH storage & handling equipment at the Kei Fresh produce depot in Mthatha. Detection & assessment of PH losses of commercial produce, Questionnaire administration to Kei Fresh management, Fruit hawkers, vegetable hawkers and root crop hawkers in Mthatha Assessment:Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: CHE11M1,CHE12M1,PMP1101,PMP11M2,PMP12M1

Code

Course

NQF Level Credits

Semester

PMP3201

HELMINTHOLOGY

7

2

Lectures per week

Practicals per week


4 x 50 min

1 x 3 h

1 x 60 min

16

12

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Content or Syllabus: Theory: Classification of Helminth parasites; an overview of Helminth life cycles; Structural morphology and the biology, of common Helminth parasites of domestic animals (horses, cattle, pigs, sheep & goats, poultry & ostriches and dogs) ; pathogenesis and clinical signs of specific parasite infestations on domestic animals; control of helminth parasites in the different domestic animals. Practicals: Mainly Familiarisation and identification of the parasites studied; fecal collection; fecal egg examination and familiarisation with the common antihelminthes and their application. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: PMP2202

Code

Course

NQF Level Credits

Semester

PMP3202

INSECT TAXONOMY

7

2

Lectures per week

Practicals per 2 weeks


4 x 50 min

1 x 3 h

11h

16

12

160

Content or Syllabus: Theory: Evolution & Phylogeny of the Phylum Arthropoda, Foundational concepts in insect taxonomy, classification & systematic, Important components of biological classification, Pterygotes & Apterygotes within the Class Insecta. Major Insect orders of importance in South Africa Practicals: Insect sampling techniques, Specimen processing: pinning & preservation, Developing and using specimen identification keys Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisite: PMP2104 Co-requisite: PMP3203




Code

Course

NQF Level Credits

Semester

PMP32M3

INTEGRATED PEST MANAGEMENT

7

2

Lectures per week

Practicals per week


4 x 50 min

1x3hx6

1x1h

16

12

160

Field 4 x 5 h Content or Syllabus: Theory: A brief introduction of insects and humans and how there interact. Definition of integrated pest management concept. History of pest management (Pre and post insecticide era). Pest management strategies and tactics. Kinds of pests and likely strategies e.g. key pests. The current status of pest management. Difficulties of implementing it. Natural enemies and the concept of biological control. Parasites, parasitoids and predators. How biological control is implemented? Ecological management of the crop environment. Overview of insecticides, their advantages and disadvantages. Plant resistance to insects. Ecological backlash and its management. Integrated pest management programmes Practicals: Laboratory practicals – pesticides types, uses and hazards, pesticides applying equipment, pest sampling methods, identifying different groups of insects collected from the natural ecosystems and agro-ecosystems. Visits to nature reserves to observe and collect insects on their natural habitats. Visit to farms to observe and collect insects on agro-ecosystems. Assessment: Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: All Level I PMP modules

4.1.18.4

Postgraduate Core Modules in Botany

Code

Course

NQF Level Credits

Semester

BOT41M1

PLANT SYSTEMATICS

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Content or Syllabus: The nature of systematic botany. The species concept. Sources of variation. Evolutionary theory. Classification methods, both artificial and natural. Numerical taxonomy. Cladistics. Choice of characters for classification and the value of triangulation. Use of new suites of characters: secondary plant compounds, protein structure, nucleic acids. Rules of nomenclature. Basic molecular methods. Multivariate and cladistic methods. Biogeography. Systematics in Biodiversity & Conse rvation. Curation of natural history collections. Speciation: isolation mechanisms, variation, adaptiation, Darwin and natural selection. Epigenetics. Classification of three major plant groups: Poaceae, Asteraceae and Fabaceae. Assessment: A series of current papers will be studied. Essays. Assignments. Exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M2

ECOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number Notional of weeks hrs

4 x 60 min

1 x 180 min

0

12

160

Content or Syllabus: Introduction to multivariate analysis, classification, ordination, South African vegetation, biomes and veld types; introduction to biogeography, the role of fire in South African ecosystems, human impacts on ecosystems. Assessment: Essays, Assignments, Exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M3

PLANT PHYSIOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

12

160

Content or Syllabus: Germination studies, Plant tissue analysis, photoperiodism and its application in Agriculture and horticultural studies. Relevance of biotechnology in modern society. Secondary metabolites; Biochemical origin and biosynthesis; classes and categories; importance of secondary metabolites (applications in society and industry). Herbal medicine and phytochemistry. Trade in medicinal plants. Conservation of medicinal plants through various propagation techniques. Biotechnology of crops and medicinal plants. Assessment: Essays, Assignments, Exam.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M4

ETHNOBOTANY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

12

160

Content or Syllabus: Plants and history. Plants as stimuli of exploration. Pre-Colombian contacts between the New and Old worlds. Origin and evolution of food plants. Plant extracts and their economic importance. Fermentation and beverages. Plants in the South African culture. Significance of plant material in rites and ceremonies. Hut construction. Wood carving. Weapons. Fuel. Food from the veld. Cultivated wild plants. Preparation of food. Beverages. Cosmetics. Medicine and magic. Plants used for cottage industries. Musical instruments. Plants in relation to humanity. Assessment: Essays, Assignments, Exam. Entry Assumptions/Pre-requisites: BScB, BScPMP. Code

Course

NQF Level Credits

Semester

BOT41M5

BIOTECHNOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

12

160

Content or Syllabus: Principle of aseptic culture, Basic media components, Callus culture, Cell suspension culture, Organogenesis, Somatic embryogenesis, Anther culture for haploid plant production, Protoplast isolation and plant regeneration, Cryopreservation for germplasm conservation, Transgenic plants (GMO) Ethics in Biotechnology, Environmental release, Food safety and quality, Social and economic consequences, Intellectual property, Recombinant DNA & Genetic Engineering. Assessment: Essays, Assignments, Exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M6

PROJECT

8

30

2

Lectures per

Practicals per week

Tutorials

Number

Notional




per week

of weeks

hours 300

Content or Syllabus: An in-depth, original study oriented towards one of the modules in the Honours Course. Assessment: Seminars, proposal presentation, research output. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M7


8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

12

160

Content or Syllabus: Defining conservation biology. Biological diversity. Valuing biodiversity. Threats to biological diversity. Conservation at the population and species levels. Protected areas. Conservation and human societies. Assessment: Essays, Assignments, Exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT41M8

SCIENTIFIC METHODOLOGY

8

10

0.5

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50min

1180min

0

12

100

Content or Syllabus: What is science? And why do we it?- history of science. The Scientific method and how to recognise fakes. Formulating a hypothesis. Use of the library and the internet for literature reviews, some internet terms, Nettiquette Plagiarism. Writing an abstract, and forming a literature list. Critical reading. Taking and editing photographs. Planning a project, including budgeting of time and money. Assessment: Essays, assignments, test, exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Code

Course

NQF Level Credits

Semester

BOT41M9

GIS & COMPUTER LITERACY

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50min

1180min

0

12

160

Content or Syllabus: The introduction and definition of GIS. How does GIS differ from Computer Aided Design, Cartography, Database Management Systems and Remote Sensing. Spatial data models – how are the real world processes represented in a GIS? Raster and Vector Data Modelling, Differences between raster and vector. Advantages and disadvantages of each. Data input: how raw data is captured and translated into digital form. Data sources for GIS: advantages and disadvantages of each. Data analysis and legal aspects of data. Project Design and Management. Practical: Idrisi for Windows. Assessment: Essays, assignments, test, exam. Entry Assumptions/Pre-requisites: BScB, BScPMP.

Code

Course

NQF Level Credits

Semester

BOT4M10

STATISTICAL METHODS

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus: Principles of Experimental design; Overview of statistical techniques. Hypothesis testing. Parametric statistics: Independent t-test; paired t-test; one sample ttest; t-distribution (applications only); F-distribution (applications only);n1-way Anova; 2way Anova; 3-way Anova; Multiple range test; Factorial designs. Non-parametric tests: Chi-square distribution v(testing for association and proportional distribution); Contigency tables; Sign test; Kruskal-Wallis test; Mann-Whitney test; Split plot design; Regression and Correlation; Manova. SPSS: defining variables; labes; data capturing analysis under 1-way, 2-way, 3-way Anova and Independent t-test; plotting. Wilcoxon signed test; Friedman test. Assessment: Practical skills using students’ projects; two theory tests; one intensive assignment; one practical test; one Final Examination. Entry Assumptions/Pre-requisites: BScB, BScPMP.




4.1.18.5

Postgraduate Core Modules in Geography/Environmental Sciences

Module Code

Module Name

NQF Level Credits

Semester

GEO40M1

ADVANCED GIS

8

16

1

Lectures per week

Practicals per week

Tutorials per week


4 x 1h

Content or Syllabus

13

160

The module examines the modelling and analysis of spatial problems. It looks at data collection and techniques of spatial analysis for both raster and vector models, with emphasis on natural resource-based applications. This will cover; spatial thinking, data issues, vector GIS, raster GIS, Boolean operations, spatial analysis, DEMS, and applications of GIS and remote sensing in the management of natural resources.

Assessment

Continuous Assessment (CA) (Compulsory): 3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO40M2

PHILOSOPHY AND METHODOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Introductory epistemology and ontology, theories of scientific changes, evolution of geography and its philosophical schools, standard multivariate parametric statistical techniques, categorical data analysis, research design and execution.

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 2 presentations (30%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.




Module Code

Module Name

NQF Level Credits

GEO40M3

ADVANCED RESEARCH METHODS 8

16

Lectures per week

Practicals per week


Tutorials per week

4 x 1h

13

Semester 1

160

Content or Syllabus

The value and forms of research; ethics in research; problem identification and conceptualisation; research and project design; field surveys and data collection; social information gathering and community interfacing; laboratory methods for research; quantitative and qualitative analysis of environmental and related data; cost-effective analysis and evaluation; proposal documentation for, and reporting on, research and project activities

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 3 class exercises (10%), 2 presentations (20 %). CA reduced to 60%is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO40M5

GEOMORPHOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Advanced study of fluvialaeolian, glacial and periglacial landforms, coastal process, hazards and features, integrated coastal resources management, drainage basin analysis, erosion and associated problems, models on geomorphology, morphological mapping, land resources surveys, remote sensing and GIS applications in geomorphology

Assessment


Module Code

Module Name

NQF Level Credits

Semester

GEO40M6

APPLIED ENVIRONMENTAL SCIENCE

8

2

16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Lectures per week

Practicals per week

Tutorials per week

4 x 1h

Number of weeks

Notional hours

13

160

Content or Syllabus

Principles and conceptual basis of environmental science, ecological foundation of resource development and conservation, contemporary problems of resource management and conservation, biomass harvesting and its environmental implications, environmental degradation and resource productivity, carrying capacity estimates, hazard and risk management, environmental management and management tools, wildlife conservations, urban environmental challenges, ecological dynamics and human impact on ecosystems, marine and coastal management

Assessment


Module Code

Module Name

NQF Level Credits

Semester

GEO40M7

APPLIED METEOROLOGY

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Atmospheric dynamics, atmospheric physics, atmospheric measurements and instrumentation, hydrometeorology, micrometeorology and atmospheric pollution, agrometeorology, application of remote sensing and GIS in meteorology.

Assessment


Module Code

Module Name

NQF Level Credits

Semester

GEO40M8

WATER RESOURCES MANAGEMENT

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h




Content or Syllabus

Thematic issues in the sustainability of water resources development, including social issues, institutional issues, planning and coordination issues, environmental issues, technical issues, financial issues and private sector participation; water as an economic good and the conditions and challenges in managing the resource; market conditions and failures, and public policy in resource management; competing uses of water, demandsupply management, and conjunctive use schemes; traditional institutional approach of fragmented management; principles of integrated water resources management as a comprehensive approach to resource management; key elements of integrated management emphasising intergenerational and intra-generational equity; privatisation and user participation in resource management; case studies, especially from the southern Africa region.

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 3class exercises (10%), 2presentations (20 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO40M9

DEVELOPMENT

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Approaches to regional development, measuring regional development, role of urbanisation in regional planning, growth pole and growth centre models, coordinated development, eco-development and environmental protection in development planning, theoretical development planning in developed and developing countries

Assessment

Continuous Assessment (CA) (Compulsory):3 tests (50%), 3 assignments (20%), 2 presentations (30%). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO40M0

POPULATION GEOGRAPHY

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4 x 1h

13

160

Content or Syllabus

The population debate, relationship between fertility and socio-economic development, perspectives on studies of population distribution and redistribution, the role of population in resource development, effects of development on population characteristics using case studies drawn from developing countries, effects of hunger on population characteristics, world population policies and their effects on population characteristics, world population trends, migration and development

Assessment


Module Code

Module Name

NQF Level Credits

Semester

GEO411

SETTLEMENT GEOGRAPHY

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Origin and growth of settlements, classification of settlements, internal structure of urban settlements, rural settlements forms and processes, patterns of interaction within and between settlements, planning of settlement structures and networks

Assessment

Continuous Assessment (CA) (Compulsory): 3 tests (50%), 3 assignments (20%), 2 presentations (30 %). CA reduced to 60% is the contribution to the Final Mark. Written examinations (EA) constitute 40 % of the Final Mark.

Module Code

Module Name

NQF Level Credits

Semester

GEO41M2

AGRICULTURAL GEOGRAPHY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

13

160

4 x 1h

Content or Syllabus

Origin and evolution of agriculture, models of agricultural behaviour and systems approach to food and agricultural planning, ecological approach to food production, carrying capacity on agricultural land, agricultural development and economic growth, role of infrastructure and land tenure



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… systems in promoting agriculture, improvement and transformational approaches to agricultural development in developing countries, spatial processes and location change.

Assessment

4.1.18.6


Postgraduate Core Modules in Zoology

Code

Course

NQF Level Credits

Semester

ZOO41M1

SCIENTIFIC METHODOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Philosophy of science; Sampling and experimental design; Study skills (time management, reading skills, literature databases, proposal writing, essays, theses report, scientific papers, critical analysis, of information, computer literacy, use of internet and e-mail); Presentation of results (seminar skills, poster and graphic designs); Statistics for life sciences (hypothesis testing, probability theory, distributions, types of data, summarising data, T-test analysis, relevant biological software programmes).


Continuous Assessment (CA) (Compulsory): Two equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA). CA = 40 % (TT) + 20 % (PA) + 20 % (CT) + 10% (AA) + 10 % (TA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.






Course

NQF Level Credits

Semester

ZOO41M2

ECO-PHYSIOLOGY

8

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Introduction to eco-physiology; Adaptation; Temperature and thermoregulation Water relations; Respiration and circulation; Nutrition and energy; Communication and senses; Reproduction.


Continuous Assessment (CA) (Compulsory): 40 %, assignments 20 %, practicals 25 %, Project 15 %. Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60 % (CA) + 40 % (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.



Code

Course

NQF Level Credits

Semester

ZOO42M1

ECOLOGY & MANAGEMENT OF TERRESTRIAL RESOURCES

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Terrestrial ecosystems: Form and function (Description of at least two systems from forest, savannah, mountains, deserts, Form: biomass comparisons, biogeography, Processes; e.g. herbivory, co-evolution; resource partitioning); Human impacts on terrestrial ecosystems (e.g. fire ecology, invasive species, agriculture, deforestation, a forestation, pollution).

Assessment and progression

Continuous Assessment (CA) (Compulsory): Two equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA), an examination (EA) and a re-



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… rules

examination (RA). CA = 40 % (TT) + 20 % (PA) + 20 % (CT) + 20 % (AA) Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60%CA + 40%EA. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall mark between 40 % and 48%.



Code

Course

NQF Level Credits

Semester

ZOO42M2

ECOLOGY & MANAGEMENT OF MARINE & COASTAL RESOURCES

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Estuarine Systems; Physical environment of an estuary; Fishes of South African estuaries; Estuarine systems and ichthyofauna; Management issues relating to estuaries (recreation, sedimentation, freshwater extraction, pollution, mangrove utilisation); Marine Systems; Physical environment and currents; Major fisheries (biology and sustainable yield e.g. hake, clupeoids, abalone, lobster, shrimp).


Continuous Assessment (CA) (Compulsory): Two equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA), an examination (EA) and a reexamination (RA). CA =40%(TT) + 20%(PA) + 20%(CT) + 20%(AA) Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60%(CA) + 40%(EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall mark between 40 % and 48%.






Course

NQF Level Credits

Semester

ZOO42M3

ECOLOGY & MANAGEMENT OF FRESHWATER RESOURCES

8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Ecology, Evolution, Methods of Ecological Research, Special Features of Aquatic habitats; The individual in its habitat; Aquatic Populations; Interactions-Competition, Predation; Topic, outline, and initial reference list for term paper due; Interaction-Predation, Parasitism, Symbiosis; Topic, outline and initial reference list returned with comments; Taxa, and life histories of freshwater organisms; Aquatic communities; Energy flow and nutrient cycling in aquatic ecosystems; Management of freshwater ecosystems (water quality and quantity, water Act, river rehabilitation, integrated catchment management and stakeholder roles); Introduction to aquatic toxicology and bio-monitoring.


Continuous Assessment (CA) (Compulsory): Two equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA), an examination (EA) and a reexamination (RA). CA = 40 % (TT) + 20 % (PA) + 20 % (CT) + 20 % (AA) Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 % and 48%.



Code

Course

NQF Level Credits

Semester

ZOO42M4


8

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

0

7

160

Content or Syllabus

Theory: Introduction: Biodiversity Conservation; Conservation Management –



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Protected areas: reserve selections and design; Conservation Management outside protected areas: CBNRM, co-management; Biodiversity conservation and sustainable development Policy and Legislation: South African and International Assessment and progression rules

Continuous Assessment (CA) (Compulsory): Three equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA), an examination (EA) and a reexamination (RA). CA = 40% (CT) + 30% (PA) + 30% (AA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment between 40 % and 48%.



Code

Course

NQF Level Credits

Semester

ZOO42M5

ZOOLOGY MINI PROJECT

8

40

1&2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

N/A

N/A

0


40

400

Project proposal and final project presentations, Internal and External Examination. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall mark of 40 % to 48%.



Code

Course

NQF Level Credits

Semester

ZOO42M6

BASIC COMPUTER & GIS SKILLS

8

16

2

Lectures per

Practicals per week

Tutorials

Number

Notional




per week

of weeks

hours

0

7

160

4 x 50 min

1 x 180 min

Content or Syllabus

Theory: MS Word tutorial; MS Excel tutorial; MS PowerPoint; Arch View GIS tutorial.


Continuous Assessment (CA) (Compulsory): Two equally weighted block assessments and a summative assessment (TT), three assignments (AA), a practical assessment (PA), an examination (EA) and a reexamination (RA). CA =40 % (TT) + 30 % (PA) + 30 % (AA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. That is OA = 60% (CA) + 40% (EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 % and 48%.



For further information on the specific research interests and projects please consult the individual staff for their research areas. If students choose 16-credit worth modules in the first semester then they are compelled to choose 32-credit worth modules in the second semester. Students can choose any 32-credit worth electives irrespective of the semester.




…………………………………………………………………………………………………………………………………………………………

4.2 DEPARTMENT OF MATHEMATICAL SCIENCES AND COMPUTING 4.2.1

Information about Department

Mathematical Sciences and Computing form the cornerstone of modern science as it is concerned with the solution of real-world problems. Consistent with this philosophy, the programmes offered in the department are designed to provide the necessary foundation for the students. The department strives to improve its leadership role in the training of students in (Applied) Mathematics, Statistics and Computer Science so that they contribute to the development of the country. It promotes excellence in appropriate research and offers career orientated degree programmes.In addition the department also offers service courses to other departments. 4.2.2


The Department of Mathematical Sciences and Computing is located at the Mthatha, Nelson Mandela Drive campus of the Walter Sisulu University. The department offers a general Bachelor of Science degree under various streams as shown in the table below. Also shown in the table are postgraduate programmes offered in the department. 4.2.3

Vision of the Department

The Department of Mathematical Sciences and Computing will be a leading department that offers innovative educational and research programmes in mathematical sciences and computing. 4.2.4

Mission of the Department

In pursuit of its vision, the department will   

4.2.5

Provide a modern educational environment supported by appropriate technology for instruction and research. Design innovative programmes in teaching and research that will produce highly skilled graduates; Have a caring approach to the teaching.create an environment to engage in solving real-world problems and societal challenges. Minimum Admission Requirements and Programme Characteristics

Department of Mathematical Sciences and Computing l page 82



4.2.5.1.1

Main Programmmes

Admission Requirements

National Senior Certificate (NSC) NSC achievement rating of at least 4 (50-59%) in Mathematics and English as a home language or first additional language level and 4 (50-59%) in Physical Science Senior Secondary School Certificate Applicants must have obtained full Matriculation Exemption, Conditional Exemption or Mature Age Exemption if the Candidate is 23 years on the year of registration with the following subjects: English First Language E(HG)/D(SG) or English Second Language D(HG)/C(SG) Mathematics E(HG)/D(SG) Physical Science E(HG)/D(SG) 4.2.5.1.2

Recognition of Credits from Other Institutions

Not more than 50% of courses will be exempted in this way. All exit level courses be done in the department. One exit level subject may be recognised provided prior permission to register for that subject at another institution is sought by the student from Senate. Also See General Prospectus Rule G15 & G16

4.2.5.2.

Extended Programmes

Minimum number of credits

480

Duration of Programme

A minimum of four years of fulltime study

Programme Outcomes

Critical Outcomes The learner will be able to:  

Accreditation & Quality Assurance

Understand the main concepts and techniques in the respective disciplines. Develop a culture of critical and analytical thinking that may be required in problem solving including the mathematical modeling and formulation of real-world problems.  Utilise the acquired skills in various disciplines such as Science and Engineering, Economic Sciences, Social Sciences and Humanities. CHE, HEQC & SAQA accredited



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Admission Requirements

1. Matriculation:National Senior Certificate: Same as for the mainstream programme. OR Senior Secondary School Certificate: Same as for the regular programme.

4.2.6

Programme Rules (Undergraduate)

In order to be allowed to proceed to the next level, the following criteria must be satisfied: All core modules must be passed at the current level. 4.2.7

Admission Rules

Admission into the programme is contingent upon:    

Meeting the minimum requirements for admission to the programme; selection into the programme, (selection is limited by enrolment limits). Admission is on a first come first served basis for students who qualify in terms of selection criteria. Not more than 50% of the credits from other institutions will be recognised. All exit level courses will only be exempted under extraneous conditions.

See also General Prospectus Rules. 4.2.7.1 Registration requirements that must be met (Computer Science Students) a) b)

c)

d)

e)

First time entering students must enroll for all the required courses at that level (i.e. at S1/ Level). If a student fails courses spanning multiple levels then the student must firstly enroll for the courses at the lower level. Consideration for enrolment of courses at the higher level will only be considered if the prerequisite criteria for these courses are met AND if there are no timetable clashes. A student will not be allowed to jump levels or enroll for courses at more than two levels (e.g. a student with S1/Year1 courses outstanding cannot enroll for S2/Year3 courses but will be required to complete the S1/Year1 first). No student will be allowed to register for any courses in the B Sc: Computer Science mainstream programme until he/she has obtained the 120 credits required for the first four semesters of extended programme The Head of Department may limit the number of courses that a student may enroll for when poor academic progress is evident.

4.2.7.2 Re-Admission of Continuing Students 

Students should take note of the Institutional rules G7-G11 on re-admission of students to undergraduate programme. As provided under institutional rules G8.1,8.2,9.1 &9.2, the school has set the following criteria for re-admission.






A student that progresses at a rate slower than that set out below will be refused further re-admission on the grounds of “poor academic performance’’.

3 Year B Sc (Mainstream: BSCA, BSCM, BSCAS) At the end of academic period (year)

1

2

3

4

5

Minimum credits students must have obtained

72

144

216

288

360

4 Year B Sc (extended programme: BSCEA, BSCME, BSCEAS) At the end of academic period(year)

Minimum credits students must have obtained 

1

2

3

4

5

6

80

160

240

320

400

480

A student who completes all core modules and pre requisite modules will progress from one level to the next.

3 Year B Sc (Mainstream: Computer Science) At the end of academic period (semester)

1

Minimum credits that student must have obtained

2

3

60

4

5

120

6

7

180

8

9

270

10 360

4 Year B Sc (Extended programme: Computer Science) At the end of academic period (semester)

1

Minimum credits that student must have obtained

4.2.8    

2

3

40

4 80

5

6

7

120

8 180

9

10

11

270

12 360

Completion Rules

All courses and modules in the curriculum must be completed. A minimum of 120 credits must be earned at each level of the curriculum. A minimum total of 360 credits must be completed for the three year programmes. A minimum total of 480 credits must be completed for the four year programmes.’

4.2.9


4.2.9.1

Bachelor of Science (Applied Mathematics) BSCA

Mathematics is a scarce skill in South Africa and is crucial to the scientific and technological development that leads to economic development of the country. In view of this, the long term plan of the department envisages the establishment of a linkage between the department and industry and commerce.





A Bachelor of Science degree in Applied Mathematics will prepare the student for jobs in statistics, actuarial sciences, mathematical modelling, cryptography, for teaching, as well as postgraduate training leading to a research career in a discipline of Mathematical Sciences. A strong background in Applied Mathematics is also necessary for research in many areas of computer science, social science, and engineering. 4.2.9.1.2


To provide basic mathematical knowledge tailored for application in the solution of technical problems in the marketplace, and for further training at a higher level in various specialisations of Mathematical Sciences. 4.2.9.1.3

Exit Level Outcomes of the Programme

A BSc Applied Mathematics graduate should:  Demonstrate knowledge and understanding of basic concepts and principles in mathematics; have a sound mathematical base for further training in mathematics and/or other fields of study that require a mathematical foundation.  Develop a culture of critical and analytical thinking and be able to apply scientific reasoning to societal issues; demonstrate ability to write mathematics correctly. o Be able to manage and organise own learning activities responsibly. o Be able to demonstrate ability to solve mathematical problems.




Programme Characteristics

4.2.9.1.4.1

Academic and Research Oriented Study

The degree programme is designed to provide basic mathematical knowledge tailored for application in the solution of technical problems in the marketplace, and for further training at a higher level in various specialisations of mathematical sciences. The courses in this programme are developed co-operatively using inputs from internal and external academic sources on a continuous basis. 4.2.9.1.4.2

Practical Work

Practical work in tutorials and computer laboratories provides the practical experience and encourages the development of computing and research skills that will form the base for future work, academic and research engagement. 4.2.9.1.4.3

Teaching and Learning Methodology

Learning activities include lectures, tutorials, practicals in which independent study is integrated. 4.2.9.1.5

Programme Structure Information

The entire programme is designed to consist of at least 50% of the credits from Mathematics and/or Applied Mathematics. See the sections for the Minimum Admission Requirements and Programme Rules. Student must take all the core modules and foundational modules at each level. Relevant electives for which the student has the required pre-requisites must then be chosen so that the student has a minimum of 120 credits at each level. However, no student may register for more than 128 credits in any given academic year. 4.2.9.1.5.1

Core and Foundation Modules

Level 1 Module Name

Code

Credits

Semester

Core Modules Precalculus & Calculus I

MAT11M1

16

1

Introduction to Linear & Vector Alg.

APM11M1

16

1

Precalculus & Calculus II

MAT12M1

16

2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Linear Programming & Applied Computing

APM12M1

16

2

Computer Literacy

CLT11M1

8

1


COK11M0

8

1&2

Total core credits

80

1&2

Electives required

40

1&2

Total credits

120

1&2

Foundation Modules

Level 2 Module Name

Code

Credit

Semester

Multivariate Calculus

MAT21M1

8

1

Ordinary Differential Equations

MAT22M1

8

1

Numerical Analysis I

APM21M1

16

1

Real Analysis I

MAT21M2

8

2

Linear Algebra I

MAT22M2

8

2

Eigenvalue Problems and Fourier Analysis

APM22M1

16

2

Total core credits

64

1&2

Electives required

56

1&2

Total credits

120

1&2

Level 3 Module Name

Code

Credit

Numerical Methods

APM31M1

16

1

Complex Analysis

MAT32M2

16

2

Mathematical Programming

APM32M1

16

2

Linear Algebra II

MAT31M2

16

1

64

1&2

Total core credits

Semester



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Electives required

56

1&2

Total credits

120

1&2

4.3.9.1.5.2

Electives

Level 1 Module Name

Code

Credits

Semester

General Chemistry I

CHE11M1

16

1

Information Systems and Applications

CSI11M1

8

1

Problem Solving and Programming

CSI11M2

8

1

General Physics I

PHY11M1

16

1

Probability & Distribution Theory I

STA11M1

16

1

General Chemistry I

CHE12M1

16

2

Object-oriented Programming

CSI12M1

8

2

General Physics II

PHY12M2

16

2

Probability & Statistical Inference I

STA12M2

16

2

Level 2 Module Name

Code

Credits

Semester

Mechanics I

APM22M2

16

2

Analytical Chemistry II

CHE21M2

16

1

Physical Chemistry II

CHE21M5

16

1

Programming in JAVA

CSI21M1

14

1

Mechanics & Waves

PHY21M1

16

1

Probability & Distribution Theory II

STA21M1

16

1

Inorganic Chemistry II

CHE22M3

16

2

Organic Chemistry II

CHE22M4

16

2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Thermodynamics and Modern Physics

PHY22M2

16

2

Operating Systems

CSI22M1

14

2

Statistical Inference II

STA22M2

16

2

Level 3 Module Name

Code

Credits

Semester

Inorganic Chemistry III

CHE31M3

16

1

Organic Chemistry III

CHE31M4

8

1

Introduction to Artificial Intelligence

CSI31M1

14

1

Software Engineering I

CSI31M2

14

1

Electromagnetism and Quantum Mechanics

PHY31M1

24

1

Linear Models

STA31M1

16

1

Analytical Chemistry III

CHE32M2

16

2

Physical Chemistry III

CHE32M5

16

2

Environmental Chemistry – 2003

CHE3207

12

2

Data Management

CSI32M1

14

2

Software Engineering II

CSI32M2

14

2

Statistical Mechanics and Solid State Physics

PHY32M2

24

2

Sampling Theory

STA32M3

16

2




4.2.9.1.5.3

Code

Prerequisite Courses

Course Name

Prerequisite

Level I MAT11M1

Precalculus& Calculus I

Faculty admission requirements

APM11M1



MAT12M1



APM12M1

Linear Programming & Applied Computing


Level II MAT21M1


Precalculus & Calculus I,Precalculus& Calculus II

MAT22M1


Precalculus & Calculus I,Precalculus & Calculus II

APM21M1


All Level IAPM courses, MAT11M1, MAT12M1

MAT21M2

Real Analysis I

Precalculus& Calculus I,Precalculus& Calculus II

MAT22M2

Linear Algebra I

Precalculus & Calculus I,Precalculus & Calculus II

APM22M1


All Level I APM courses ,MAT22M1

APM22M2

Mechanics I

All Level I APM courses, MAT21M1

Level III MAT31M1

Real Analysis II

Multivariate Calculus, Real Analysis I, Linear Algebra I

MAT31M2

Linear Algebra II


APM31M1

Numerical Methods

APM21M1, APM22M1

MAT32M1

Abstract Algebra


MAT32M2

Complex Analysis


APM32M1


APM21M1, APM22M1




Award of Qualification

The qualification will be awarded after the satisfaction of the programme requirements, including completion of 360 credits with a minimum of 120 credits obtained at each level. See also Rule G12 of the General Prospectus. 4.2.9.1.7

Programme Tuition Fees

Students are referred to the Walter Sisulu University institutional Fee Booklet for costs of tuition fees, application fees, registration fees, late registration-fees and other student fees. 4.2.9.1.8

Articulation

Vertical Vertical Articulation is possible with: BSc Hons Mathematics and BSc Hons Applied Mathematics, NQF Level 8 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistical Science. Other Universities Horizontal Articulation is possible with NQF Level 7 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.9.2 BSc Applied Mathematics (Extended Programme): BSCEA

The first 2 years of the BSc Applied Mathematics (Extended Programme) are equivalent to the first year of the BSc Applied Mathematics programme. In the last two years of the BSc Applied Mathematics (Extended Programme) the students follow the BSc Applied Mathematics programme from Level II. At each of the years, 1, 2, 3 & 4, a student must accumulate at least 120 credits towards the total graduation credits. All the core modules (and foundation modules in the case of Level 1) must be taken at each Level. The remaining credits to satisfy the credit requirements at the respective level must be accumulated from the electives.





Level 1a(BSCEA) Module Name

Code

Credits

Semester

Core Mathematical Methods I

EAPM1M1

16

1

EMAT1M1

16

1

EAPM1M2

16

2

EMAT1M2

16

2

Computer Science Fundamentals

ECSI1M1

16

1

Academic Literacy I

EACL1M1

8

1

Introduction to Programming I

ECSI1M2

16

2

Academic Literacy II

ACL1212

8

2

Life Skills

ELSK1M2

8

(Year)

Integrated Mathematics

I

Mathematical Methods II Integrated Mathematics

II

Foundation

Total core credits

120

1&2

Electives required

0

1&2

120

1&2

Total credits Level 1b ( BSCEA) Module Name

Code

Credits

Semester

Core Mathematical Methods III Integrated Mathematics

III

Mathematical Methods IV Integrated Mathematics

IV

EXMM1M1

16

1

EIMT1M1

16

1

EMAM1M2

16

2

EIMT1M2

16

2

Foundation



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Introduction to Computer Architecture

EICA1M1

16

1

Introduction to Programming II

EIPR1M2

16

2

Total core credits

96

1&2

Electives required

24

1&2

120

1&2

Total credits 4.2.9.2.3

Electives

Level 1a (BSCEA) Module Name

Code

Credits

Semester


ECHE1M1

16

1

Extended General Physics II

EXGP1M2

16

2


CHE1212

16

2

Module Name

Code

Credits

Semester

Extended General Physics III

EGPY1M2

16

1


CHE1113

16

1

Probability & Distribution theory I

STA11M1

16

1

Extended General Physics IV

EGPH1M2

16

2


CHE1214

16

2

Statistical Inference I

STA12M2

16

2

Level 1b (BSCEA)




4.2.9.2.3


Course Code

Course Name

Prerequisite

EAPM1M1

Mathematical Methods I

Admission requirements as in section 1.6

EAPM1M2

Mathematical Methods II


EXMM1M1

Mathematical Methods III

EAPM1M1, EAPM1M2

EMAM1M2

Mathematical Methods IV

EAPM1M1, EAPM1M2

EMAT1M1



EMAT1M2



EIMT1M1


EMAT1M1, EMAT1M2

EIMT1M2


EMAT1M1, EMAT1M2

4.2.9.2.4

Articulation

Vertical Vertical Articulation is possible with: BSc Hons Mathematics and BSc Hons Applied Mathematics, NQF Level 8 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistical Science. Other Universities Horizontal Articulation is possible with NQF Level 7 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.




4.2.9.3 Bachelor of Science (Mathematics): BSCM

Mathematics is a scarce skill in South Africa and is crucial to the scientific and technological development that leads to economic development of the country. In view of this, the long term plan of the department envisages the establishment of a linkage between the department and industry and commerce.

4.2.9.3.1


A Bachelor of Science degree in mathematics will prepare the student for jobs in statistics, actuarial sciences, mathematical modeling, and cryptography; for teaching; as well as postgraduate training leading to a research career in mathematics. A strong background in mathematics is also necessary for research in many areas of computer science, social science, and engineering

4.2.9.3.2


To provide basic mathematical knowledge needed for placement in jobs requiring a significant amount of mathematical maturity, and for further training at a higher level in various specialisations of mathematics.

4.2.9.3.3


A BSc Mathematics graduate should:  



Demonstrate knowledge and understanding of basic concepts and principles in mathematics. Have a sound mathematical basis for further training in mathematics and/or other fields of study that require a mathematical foundation. Develop a culture of critical and analytical thinking and be able to apply scientific reasoning to societal issues. Demonstrate ability to write mathematics correctly.



Be able to manage and organise own learning activities responsibly, be able to demonstrate ability to solve



mathematical problems.




4.2.9.3.4


4.2.9.3.4.1

Academic and Research Orientated

The programme is mainly academic and research orientated because academic study is combined with related practical work aimed at developing more conceptual mathematical than computational outcomes. The courses in this programme are developed co-operatively using inputs from internal and external academic sources on a continuous basis. 4.2.9.3.4.2

Practical Work

Practical work in tutorials and computer laboratories provides the practical experience and the development of computing and research skills that will form the basis of future work, academic and research engagement.

4.2.9.3.4.3


Learning activities include lectures, tutorials, practicals in which in which independent study is integrated.

4.2.9.3.5

Programme structure Information

The programme is designed to consist of at least 50% of the credits from Mathematics and/or Applied Mathematics. See sections for the Minimum Admission Requirements and Programme Rules.

4.2.9.3.5.1


Level 1 Module Name

Code

Credits

Semester


MAT11M1

16

1


APM11M1

16

1

Core Modules



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Precalculus& Calculus II

MAT12M1

16

2


APM12M1

16

2

Computer Literacy

CLT11M1

8

1


COK11M0

8

1&2

Foundational Modules

Total credits

80

Level 2 Module Name

Code

Credits

Semester


MAT21M1

8

1


MAT22M1

8

1


APM21M1

16

1

Real Analysis I

MAT21M2

8

2

Linear Algebra I

MAT22M2

8

2


APM22M1

16

2

Total credits

64

Level 3 Module Name

Code

Credits

Semester

Real Analysis II

MAT31M1

16

1

Linear Algebra II

MAT31M2

16

1

Numerical Methods

APM31M1

16

1

Abstract Algebra

MAT32M1

16

2

Complex Analysis

MAT32M2

16

2


APM32M1

16

2

Total credits

96



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.2.9.3.5.2

Electives

Level 1 Module Name

Code

Credits

Semester

General Chemistry I

CHE11M1

16

1


CSI11M1

8

1

Problem Solving

CSI11M2

8

1

General Physics I

PHY11M1

16

1


STA11M1

16

1

General Chemistry I

CHE12M1

16

2


CSI12M1

8

2

General Physics II

PHY12M2

16

2


STA12M2

16

2

Minimum total credits

40

Level 2 Module Name

Code

Credits

Semester

Mechanics I

APM22M2

16

2


CHE21M2

16

1


CHE21M5

16

1

Programming in JAVA

CSI21M1

14

1

Mechanics & Waves

PHY21M1

16

1


STA21M1

16

2


CHE22M3

16

2


CHE22M4

16

2

16

2

14

2

Thermodynamics and Modern Physics Operating Systems

PHY22M2 CSI22M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Statistical Inference II

STA22M2


16

2

56

Level 3 Module Name

Code

Credits

Semester


CHE31M3

16

1


CHE31M4

8

1


CSI31M1

14

1


CSI31M2

14

1

Electromagnetism and Quantum Mechanics

PHY31M1

24

1

Linear Models

STA31M1

16

1


CHE32M2

16

2


CHE32M5

16

2


CHE3207

12

2

Data Management

CSI32M1

14

2


CSI32M2

14

2


PHY32M2

24

2

Sampling Theory

STA32M3

16

2


4.2.9.3.5.3

Code

24


Course Name

Prerequisite

Level I MAT11M1



APM11M1



MAT12M1

Precalculus& Calculus II




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… APM12M1


Introduction to Linear & Vector Algebra

Level II MAT21M1



MAT22M1



APM21M1


All Level IAPM courses, MAT11M1, MAT12M1

MAT21M2

Real Analysis I

Precalculus& Calculus I, Precalculus& Calculus II

MAT22M2

Linear Algebra I



All Level IAPM courses , MAT11M1, MAT12M1, MAT22M1

Mechanics I

All Level I APM courses, MAT21M1

APM22M1

APM22M2

Level III MAT31M1

Real Analysis II

MAT31M2

Linear Algebra II


APM31M1

Numerical Methods

APM21M1, APM22M1

MAT32M1

Abstract Algebra


MAT32M2

Complex Analysis


APM32M1


APM21M1, APM22M1

4.2.9.3.6



The qualification will be awarded after the satisfaction of the programme requirements, including completion of 360 credits with a minimum of 120 credits obtained at each level. See also Rule G22 of the General Prospectus. 4.2.9.3.6

Articulation

Vertical Vertical Articulation is possible with: BSc Hons Mathematics and BSc Hons Applied Mathematics, NQF Level 8 Horizontal Within WSU



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistical Science. Other Universities Horizontal Articulation is possible with NQF Level 7 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.9.4 Bachelor of Science (Mathematics) Extended Programme: BSCME

The first 2 years of the BSc Mathematics (Extended Programme) are equivalent to the first year of the BSc Mathematics programme. In the last two years of the BSc Mathematics (Extended Programme),the students follow the BSc Mathematics programme from Level II. At each of the years, 1, 2, 3 & 4, a student must accumulate at least 120 credits towards the total graduation credits. All the core modules (and foundation modules in the case of Level 1) must be taken at each Level. The remaining credits to satisfy the credit requirements at the respective level must be accumulated from the electives. The following table captures briefly the admission requirement and programme characteristics.

4.2.9.4.1


Level 1a(BSCME) Module Name

Code

Credits

Semester

EMAT1M1

16

1

EAPM1M1

16

1

EMAT1M2

16

2

EAPM1M2

16

2


ECSI1M1

16

1

Academic Literacy I

EACL1M1

8

1


ECSI1M2

16

2


ACL1212

8

2

Core Integrated Mathematics

I

Mathematical Methods I Integrated Mathematics

II

Mathematical Methods II Foundation



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Life Skills

ELSK1M2

8

(Year)

Total core credits

120

1&2

Electives required

0

1&2

120

1&2

Total credits Level 1b (BSCME) Module Name

Code

Credits

Semester

EIMT1M1

16

1

EXMM1M1

16

1

EIMT1M2

16

2

EMAM1M2

16

2

Introduction to Computer Architecture

EICA1M1

16

1


EIPR1M2

16

2

Core Integrated Mathematics

III

Mathematical Methods III Integrated Mathematics

IV

Mathematical Methods IV Foundation

Total core credits

96

1&2

Electives required

24

1&2

120

1&2

Total credits

4.2.9.4.2

Electives

Level 1a (BSCME) Module Name

Code

Credits

Semester

Extended General Physics I

EXGP1M1

16

1


ECHE1M1

16

1


EXGP1M2

16

2


CHE1212

16

2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Level 1b (BSCME) Extended General Physics III

EGPY1M2

16

1


EGCH1M1

16

1

Probability & Distribution theory I

STA11M1

16

1


EGPH1M2

16

2


CHE1214

16

2


STA12M2

16

2

4.2.9.4.3

Code


Course Name

Prerequisite

Level I EMAT1M1


I


EMAT1M2


II


EIMT1M1


III

EMAT1M1, EMAT1M2

EIMT1M2


IV

EMAT1M1, EMAT1M2

EAPM1M1



EAPM1M2

Mathematical Methods II


EXMM1M1


EAPM1M1, EAPM1M2

EMAM1M2


EAPM1M1, EAPM1M2

4.2.9.5 Bachelor of Science (Applied Statistical Sciences): BSCAS

Statistics is an important area of study and is needed in various sectors of government and industry and commerce. In view of this, the long term plan of the department envisages the establishment of a linkage between the department and industry and commerce.





A Bachelor of Science degree in Applied Statistical Science will prepare the student for jobs in many different sectors of the economy, including Agriculture, Banking, Economic Planning, Education, Engineering, Forestry, Health Research, Insurance, Manufacturing, Market Research, Monitoring & Evaluation, Scientific Research, Social Research, Transport. 4.2.9.5.1


To provide basic statistical knowledge in applied mathematics, computer science, mathematics and statistics with an inclination towards application in the solution of technical problems in the marketplace, and for further training at a higher level in various specialisations needing a sound foundation in statistical Sciences. 4.2.9.5.2


A BSc Applied Statistics graduate should:     



Demonstrate knowledge and understanding of basic concepts and principles in applied statistics, Have a sound basis in applied statistics for further training in this area and/or other fields of study that require a foundation in applied statistics. Develop a culture of critical and analytical thinking and be able to apply scientific reasoning to societal issues. Demonstrate ability to apply statistics. Be able to manage and organise own learning activities responsibly. Be able to demonstrate ability to solve real-world problems requiring the application of techniques in statistics.

4.2.9.5.2


4.2.9.5.2.1

Academic and Research Oriented Study

The programme is mainly academic and research orientated because academic study is combined with related practical work aimed at developing more conceptual mathematical than computational outcomes. The courses in this programme are developed co-operatively using inputs from internal and external academic sources on a continuous basis.




Practical Work

Practical work in tutorials and computer laboratories provides the practical experience and the development of computing and research skills that will form the basis of future work, academic and research engagement. 4.2.9.5.2.2


Learning activities include lectures, tutorials, practicals in which in which independent study are integrated. 4.2.9.5.3

Programme Structure Information

The entire programme must consist of credits from core modules in Statistics and related areas in the school. A student must take all the Core modules and Foundational modules at that level. Relevant electives (for which the student has the required pre-requisites) must then be chosen so that the student has a minimum of 120 credits at that level. However, no student may register for more than 128 credits in any given academic year.





Level 1 Module Name

Code

Credits

Semester

Core Probability & Distribution Theory I

STA11M1

16

1


STA12M2

16

2

Computer Literacy

CLT11M1

8

1


COK11M0

8

1&2

Foundation

Total core credits

48

Elective credits required

72

Total credits

120

Level 2 Module Name

Code

Credits


STA21M1

16

1

Statistical Inference II

STA22M2

16

2

Total core credits

32


98

Total credits

120

Semester




Level 3 Module Name

Code

Credits

Sampling Theory & Methods

STA32M3

16

2

Stochastic Processes & Time Series Forecasting

STA32M2

16

2

Linear Model & Multivariable Distribution theory

STA31M1

16

1

Total core credits

48


72

Total credits

120

4.2.9.5.3.2

Semester

Electives

Level 1 Module Name

Code

Credits

Semester

General Chemistry I

CHE11M1

16

1


CSI11M1

8

1

Problem Solving and Programming

CSI11M2

8

1

General Physics I

PHY11M1

16

1


MAT11M1

16

1

Precalculus& Calculus II

MAT12M1

16

2

General Chemistry I

CHE12M1

16

2


CSI12M1

8

2

General Physics II

PHY12M2

16

2


APM11M1

16

1


APM12M1

16

2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Level 2 Module Name

Code

Credits

Semester


APM21M1

16

First

Real Analysis I

MAT21M2

8

2

Linear Algebra I

MAT22M2

8

2


APM22M1

16

2

Mechanics I

APM22M2

16

1


CHE21M2

16

1


CHE21M5

16

1

Programming in JAVA

CSI21M1

14

1

Mechanics & Waves

PHY21M1

16

1

Multivariable Calculus

MAT21M1

8

1


CHE22M3

16

2


CHE22M4

16

2

Thermodynamics and Modern Physics

PHY22M2

16

2

Operating Systems

CSI22M1

14

2


MAT22M1

8

1


56

Level 3 Module Name

Code

Credits

Semester

Numerical Methods

APM31M1

16

1

Linear Algebra II

MAT31M2

16

1


HE31M3

16

1


CHE31M4

8

1


CSI31M1

14

1


CSI31M2

14

1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Electromagnetism and Quantum Mechanics

PHY31M1

24

1

Linear Models & Multivariable Distribution Theory

STA31M1

16

1


CHE32M2

16

2


CHE32M5

16

2


CHE3207

12

2

Data Management

CSI32M1

14

2


(CSI32M2

14

2


PHY32M2

24

2

Complex Analysis

MAT32M2

16

2


APM32M1

16

2

4.2.9.5.3.3

Pre-Requisite Courses

Module

Prerequisite

STA11M1

Concurrent

Substitutes

MAT11M1 APM11M1

STA12M2

MAT12M1 APM12M1

STA21M1

STA11M1

MAT21M1

STA12M2

MAT21M2

MAT11M1

APM21M1

MAT12M1 APM11M1 APM12M1 STA22M1

STA11M1

MAT22M1

STA12M2

MAT22M2

MAT11M1

APM22M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT12M1 APM11M1 APM12M1 STA31M1

STA21M1

MAT31M1

STA22M2

MAT31M2 APM31M1

STA32M2

STA21M1

MAT32M1

STA22M2

MAT32M2 APM32M1

4.2.9.5.4


The qualification will be awarded after one satisfies the programme requirements, including completing 360 credits with a minimum of 120 credits obtained at each level. See also Rule G12 of the General Prospectus. 4.2.9.5.4

Articulation

Vertical Vertical Articulation is possible with BSc Hons Applied Statistics, NQF Level 8 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistics, NQF Level 7, course to the admission requirements of that qualification. Other Universities Horizontal Articulation is possible with NQF Level 7 qualifications offered by such institutions, subject to the relevant institution’s admission requirements.




4.2.9.6 Bachelor of Science (Applied Statistical Science) Extended: BSCEAS

The first 2 years of the BSc Statistical Science (Extended Programme) are equivalent to the first year of the BSc Statistical Science programme. In the last two years of the BSc Statistical Science (Extended Programme) the students follow the BSc Statistical Science programme from Level II. At each of the years, 1, 2, 3 & 4, a student must accumulate at least 120 credits towards the total graduation credits. All the core modules (and foundation modules in the case of Level 1) must be taken at each Level. The remaining credits to satisfy the credit requirements at the respective level must be accumulated from the electives. The following table captures briefly the admission requirement and programme characteristics.

4.2.9.6.1


Level 1a (BSCEAS) Module Name

Code

Credits

Semester

ESTA1M1

16

1

EMAT1M1

16

1

ESTA1M2

16

2

EMAT1M2

16

2


ECSI1M1

16

1

Academic Literacy I

EACL1M1

8

1


ECSI1M2

16

2


ACL1212

8

2

Life Skills

ELSK1M2

8

(Year)

Core Integrated Statistics I Integrated Mathematics I Integrated Statistics II Integrated Mathematics II Foundation

Total core credits Electives required Total credits

120 0 120

1&2 1&2 1&2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Level 1b (BSCEAS) Module Name

Code

Credits

Semester

EIST1M1

16

1

EIMT1M1

16

1

EIST1M2

16

2

EIMT1M2

16

2

Introduction to Computer Architecture

EICA1M1

16

1


EIPR1M2

16

2

Total core credits

96

1&2

Electives required

24

1&2

Total credits

120

1&2

Core Integrated Statistics III Integrated Mathematics III Integrated Statistics IV Integrated Mathematics IV Foundation

4.2.9.6.2

Electives

Level 1a (BSCEAS) – An elective cannot be taken, presently, at this year because of exceeding credits. Module Name

Code

Credits

Semester


EXGP1M1

16

1


ECHE1M1

16

1


EXGP1M2

16

2


CHE1212

16

2

Module Name

Code

Credits

Semester

Introduction to Linear & Vector Algebra

APM11M1

16

1


EGPY1M2

16

1

Level 1b (BSCEAS)



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Extended General Chemistry II

CHE1113

16

1


APM12M1

16

2


EGPH1M2

16

2


CHE1214

16

2

4.2.9.6.3

Pre-Requisite Courses

Course Code

Course Name

Pre-Requisite

ESTA1M1

Integrated Statistics I


ESTA1M2

Integrated Statistics II


EIST1M1

Integrated Statistics III

ESTA1M1, ESTA1M2

EIST1M2

Integrated Statistics IV

ESTA1M1, ESTA1M2

EMAT1M1



EMAT1M2



EIMT1M1


EMAT1M1, EMAT1M2

EIMT1M2


EMAT1M1, EMAT1M2

4.2.9.6.4


The qualification will be awarded after satisfaction of the programme requirements, including completing 360 credits with a minimum of 120 credits obtained at each level. Also see Rule G22 of the General Prospectus.

4.2.9.6.5

Articulation

Vertical Vertical Articulation is possible with BSc Hons Applied Statistics, NQF Level 8 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistics, NQF



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Level 7, course to the admission requirements of that qualification. Other Universities Horizontal Articulation is possible with NQF Level 7 qualifications offered by such institutions, subject to the relevant institution’s admission requirements.

4.2.9.7 Bachelor of Science (Computer Science): BSCCS

The BSc Computer Science programme is in line with the requirements of South African Qualifications Authority (SAQA), the Council for Higher Education (CHE) and Higher Education Quality Committee (HEQC). The programme is aimed at providing basic knowledge towards further training to become computer scientists. It is designed to be relevant to the socio-economic needs of the region and the continent in general and to produce graduates who are required locally, nationally, and internationally in the scientific, business and computing industries.

4.2.9.7.1


Computer scientists devise new ways to use computers. Progress in the Computer Science areas of networking, database, and human-computer-interface enabled the development of the World Wide Web. Now Computer Science researchers are working with scientists from other fields to make robots become practical and intelligent aides, to use databases to create new knowledge, and to use computers to help decipher the secrets of our DNA. They develop effective ways to solve computing problems. For example, computer scientists develop the best possible ways to store information in databases, send data over networks, and display complex images. Their theoretical background allows them to determine the best performance possible, and their study of algorithms helps them to develop new approaches that provide better performance. Computer science spans the range from theory through programming. While other disciplines may produce graduates with more immediately relevant job-related skills, computer science offers a comprehensive foundation that permits graduates to adapt to new technologies and new ideas.

4.2.9.7.2

Exit Level Outcomes

The qualifying learner should have the ability to: 

Work in a broad range of positions involving tasks from theoretical work to software development and demonstrate: o An intellectual understanding of, and an appreciation for, the central role of algorithms and data structures. o An understanding of computer hardware from a software perspective, for example, use of the processor, memory, disk drives, display, etc.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Those fundamental programming skills to permit the implementation of algorithms and data structures in software. o Those skills that are required to design and implement larger structural units that utilise algorithms and data structures and the interfaces through which these units communicate. o An understanding of software engineering principles and technologies so as to ensure that software implementations are robust, reliable, and appropriate for their intended audience. Understand the possibilities and limitations of what computer technology (software, hardware, and networking) can and cannot do. There are three levels: o An understanding of what current technologies can and cannot accomplish. o An understanding of computing's limitations, including the difference between what computing is inherently incapable of doing vs. what may be accomplished via future science and technology. o An awareness of the impact on individuals, organisations, and society of deploying technological solutions and interventions. Understand the concept of the lifecycle, including the significance of its phases (planning, development, deployment, and evolution), the implications for the development of all aspects of computer-related systems (including software, hardware, and human computer interface), and the relationship between quality and lifecycle management. Understand the essential concept of process, in at least two meanings of the term: o Process as it relates to computing especially program execution and system operation. o Process as it relates to professional activity especially the relationship between product quality and the deployment of appropriate human processes during product development. o







4.2.9.7.3

Programme Curriculum

The entire programme must consist of at least 50% Computer Science. Essential underpinnings may be abstract, for example, formal theory rooted in mathematics, or they may address professional values and principles. Regardless of their form or focus, the underpinnings must highlight those essential aspects of the discipline that remain unaltered in the face of technological change. The discipline’s foundation provides a touchstone that transcends time and circumstance, giving a sense of permanence and stability to its educational mission. Students must have a thorough grounding in that foundation. Distribution of credits over the levels is as follows:

Level 1: 120. (NQF level 5, some course are at Level 6 and 7) Level 2: 120. (NQF level 6, mixture of Level 6 and 7) Level 3: 120. (NQF level 7)




COURSE

CODE

CREDITS

S/Y

F/C/E PRE-REQUISITE

Information Systems & Applications

CSI11M1

8

S

C


Problem Solving 11M2

CSI11M2

8

S

C


Computer Literacy And Web Appl

CSI11M3

8

S

C



COK11M0

8

Y

F


Pre-Calculus & Calculus

MAT11M1

16

S

C


General Physics

PHY11M1

16

S

E


Intro Linear &VectAlg

APM11M1

16

S

E


Probability & Distribution

STA11M1

16

S

E


Intro To Microeconomics

ECO11M1

16

S

E


Intro to Business Management

BMA11M1

16

S

E


CSI12M3

8

S

C

CSI11M3

Intro. To Object-Oriented Programming CSI12M1

8

S

C

CSI11M2

STUDY LEVEL 1: SEMESTER 1

Plus 1 Additional Elective ELECTIVES

STUDY LEVEL 1: SEMESTER 2 Computer Literacy And Web Appl II



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Computer Organisation & Architecture

CSI12M2

8

S

C



MAT12M1

16

S

General Physics

PHY12M2

16

S

E


Linear Programming

APM12M1

16

S

E

APM11M1

Statistical Inference

STA12M2

16

S

E


Intro To Macro-Economics

ECO12M2

16

S

E


Management of the Enterprise

BMA12M2

16

S

E


Programming In Java & Networking

CSI21M1

14

S

C

CSI11M2, CSI12M1

Data Communications

CSI21M2

14

S

C

CSI12M2, CSI12M1


MAT21M1

8

S

E

MAT11M1, MAT12M1

Real Analysis I

MAT21M2

8

S

E

MAT11M1, MAT12M1

General Physics OR

PHY11M1 Or

16

S

E

Mechanics And Waves

PHY21M1

16

Intro Linear & Vect Alg OR

APM11M1 OR

16

S

Numerical Analysis 201

APM21M1

16

S


Plus 1 Additional Elective ELECTIVES


Plus 2 Additional Electives ELECTIVES

PHY12M1 E

Admission Requirements MAT11M1, MAT12M1, APM12M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Probability & Distr OR Probability Distribution Theory 201

STA11M1 Or STA21M1

16

S

E

Admission Requirements STA11M1, STA12M2

Intro To Microeconomics

ECO11M1/ OR 16

S

E

Micro-Economics 21M2

ECO21M2

8


ECO21M3

8

S

E


BMA11M1 OR

16

S

E

Principles of Management

BMA21M1

16

Operating Systems

CSI22M1

14

S

C

CSI12M1,CSI12M2

Data Structures

CSI22M2

14

S

C

CSI12M1,CSI12M2

Ordinary Differential Equation

MAT22M1

8

S

E

MAT11M1, MAT12M1

Linear Algebra I

MAT22M2

8

S

E

MAT11M1, MAT12M1

Thermodynamics & Modern Physic

PHY22M2

16

S

E

MAT11M1, MAT12M1, PHY12M2

Eigen Value Problems 202

APM22M1

16

S

E

MAT11M1, MAT12M1, APM12M1

Statistical Inference II 202

STA22M2

16

S

E

STA11M1, STA12M2

Intro To Macroeconomics

ECO12M1 OR

16

S

E

Micro-Economics 21M2

ECO22M2

8

ECO11M1 ,ECO12M1 ECO11M1 ,ECO12M1

BMA12M2



ECO11M1 ,ECO12M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Management of the Enterprise

BMA12M1 OR BMA22M2

16

Intro to Artificial Intelligence

CSI31M1

14

S

C

CSI22M2, CSI21M1, MAT12M1

Software Engineering

CSI31M2

14

S

C

CSI21M1, CSI22M2

Mechanics and Waves OR

PHY21M1 OR

16

S

E

Electromagnetism & Quantum Mechanics

PHY31M1

24

PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2

S

E

STA11M1, STA12M2

Operations Management

S

E BMA11M1, BMA12M1

16



Probability Distribution Theory 201 OR STA21M1 OR STA31M1 Linear Models & Multi-Variable Distribution Theory

16

Micro-Economics 2012

ECO21M2

8

S

E

ECO11M1 ,ECO12M1


ECO21M3

8

S

E

ECO11M1 ,ECO12M1

Principles of Management

BMA21M1

16

S

E

BMA11M1, BMA12M2

Numerical Methods

APM31M1

16

S

E

STA21M1, STA22M2

MAT21M1, MAT21M2, MAT22M1, MAT22M2, APM22M1, APM21M1 Real Analysis II

MAT31M1

16

S

E

MAT21M2,MAT22M2, MAT21M1

Linear Algebra II

MAT31M2

16

S

E

MAT21M2,MAT22M2,



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT21M1

STUDY LEVEL 3: SEMESTER 2 Database Management Systems

CSI32M1

14

S

C

CSI22M2, CSI22M1, CSI21M1


CSI32M2

14

S

C

CSI31M2

Thermodynamics & Modern Physics

PHY22M2 OR

16

S

E

Statistical Mechanics & Solid State Physics

PHY32M1

24

PHY11M1, PHY12M2, MAT11M1, MAT12M1


PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2 Sampling Theory & Methods

STA32M3

16

S

E

STA21M1, STA22M2

Statistical Inference II 201 OR

STA22M2 OR

16

S

E

STA11M1, STA12M2

Time series & Stochastic Process

STA32M2

16

Development Economics

ECO 22M4

8

S

E

ECO11M1 ,ECO12M1

Macro Economics

ECO22M3

8

S

E

ECO11M1 ,ECO12M1

Operations Management

BMA22M2 OR

16

S

E

BMA11M1, BMA12M2

STA21M1, STA22M2

BMA22M2, BMA21M1

BMA32M1 Complex Analysis

MAT32M2

16

S

E


Abstract Algebra

MAT32M1

16

S

E




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Mathematical l Programming

4.2.9.7.3.1

  

APM32M1

16

S

E

MAT21M1, MAT21M2, MAT22M1, MAT22M2, APM22M1, APM21M1

Clarity on Electives

Electives – Recommended electives are listed, however, students at any level may select any other electives subject to the time-table and prerequisites. Students are not allowed to have all their electives at Level one. Students must ensure that the chosen elective can at least allow them to do level 3 courses. Students to ensure that the elective path chosen at the time of registration must be followed till completion otherwise students forfeit the credits accumulate if they change the elective path.

4.2.9.7.4

Promotion Rules

All core and pre-requisite courses must be completed.

4.2.9.7.5

Exit Rules

All courses and modules must be completed.

4.2.9.7.6

Exclusion

Maximum 3 years plus two additional years allowed.

4.2.9.8

Bachelor of Science (Computer Science - Extended Programme): BSCECS

Extended curriculum programmes lead to the same qualifications as the mainstream programmes. Extended curriculum programmes have been developed for all undergraduate programmes in the department, in order to enhance student development and to improve chances of successfully completing the degree. In the extended curriculum programme the first year curriculum is extended over two years with additional academic support and tuition. Because the extended curriculum programmes lead to the same qualifications the job opportunities are exactly the same as all the corresponding diploma and degree programmes listed in this prospectus.




4.2.9.8.1

Core, Foundation and Elective Modules

STUDY LEVEL: 360 CREDITS OVER 4 YEARS COURSE

CODE

CREDIT S

S/ Y

STUDY LEVEL EXTENDED 1A: SEMESTER 1

F/C/E

PRE-REQUISITE

F=Foundation, C=Core , E=Elective


ECSI1M1

16

S

C


Integrated Maths I

EMAT1M1

16

S

C


Life Skills I

ELSK1M2

8

Y

F


Academic Literacy I

EACL1M1

8

S

F



EAPM1M1

16

S

E


Integrated Statistics I

ESTA1M1

16

S

E


Extended General Physics

EXGP1M1

16

S

E


ELECTIVES

STUDY LEVEL EXTENDED 1A: SEMESTER 2 Introduction to Programming I

ECSI1M2

16

S

C


Integrated Maths II

EMAT1M2

16

S

C


Academic Literacy I

ACL1212

8

S

F




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… ELECTIVES Mathematical Methods II

EAPM1M2

16

S

E

EAPM1M1

Integrated Statistics II

ESTA1M2

16

S

E



EXGP1M2

16

S

E


STUDY LEVEL EXTENDED 1B: SEMESTER 1 Introduction to Computer Architecture

EICA1M1

16

S

C

ECSI1M1

Integrated Maths III

EIMT1M1

16

S

C

MAT111


EGPY1M2

16

S

E

EMAT1M2, EMAT1M1, EXGP1M2 ,EXGP1M1


EXMM1M1

16

S

E

EAPM1M2

Integrated Statistics III

EIST1M1

16

S

E

ESTA1M2

Intro To Macroeconomics OR

ECO11M1

16

S

E


Plus any two electives ELECTIVES

BMA11M1





STUDY LEVEL EXTENDED 1B: SEMESTER 2 Intro to Programming II

EIPR1M2

16

S

C

ECSI1M2

Integrated Maths IV

EIMT1M2

16

S

C

EIMT1M1


EGPH1M2

16

S

E

EMAT1M2, EMAT1M1, EXGP1M2 ,EXGP1M1


EMAM1M2

16

S

E

EXMM1M1

Integrated Statistics IV

EIST1M2

16

S

E

EIST1M1

Intro To Macroeconomics or

ECO12M2

16

S

E

ECO11M1

Plus any two electives ELECTIVES

BMA12M2

BMA11M1

Intro to Business Management Legend: Y: Year

S: Semester

F: Foundation

C: Core E: Elective

STUDY LEVEL 2: SEMESTER 1 As for 2-year Main Stream programme STUDY LEVEL 2: SEMESTER 2 As for 3-year programme Students are encouraged to take CSI12M3 as an elective




STUDY LEVEL 3: SEMESTER 1 As for 3-year programme in 3nd year Level STUDY LEVEL 3: SEMESTER 2 As for 3-year programme in 3nd year Level

4.2.9.8.2

Admission Requirements, Underpinning Knowledge And Programme Rules

As for 3-year programme

4.2.9.8.3

Study Study Study Study

Level Level Level Level

Distribution of Credits Over the Levels

1A: 60. (NQF level 5) 1B: 60. (NQF level 5) 2: 120. (NQF level 6) 3: 120. (NQF level 7)

4.2.10 Service Modules offered by the Department

Module Name

Code

Credits

Level

Semester

Faculty/Dept

Special Mathematics I

SPM11M1

16

I

1

FBML

Special Mathematics II

SPM12M1

16

I

2

FBML

APS11M1

16

I

1

FBML, FNS, EDUCATION

APS12M1

16

I

2

FBML, FNS, EDUCATION

Applied Statistics I

Applied Statistics II

4.2.11 Postgraduate Programmes in the Department The postgraduate programmes in the department are designed to provide basic knowledge needed for placement in jobs requiring a significant amount of maturity in mathematical sciences and/or computing, and for further training at



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… a higher level in various relevant specialisations. The skills imparted through programmes offered in the department are scarce skill in South Africa and are crucial for the scientific and technological development that leads to economic development of the country. In view of this, the long term plan of the department envisages the establishment of a linkage between the department, industry and commerce. After the successful completion of the programme the student will be able to utilise the acquired skills in various disciplines mentioned above.

4.2.11.1


Many opportunities become available to students who complete the programmes offered in the department.

4.2.11.1.1

Applied Mathematics/Mathematics

Actuarial sciences, mathematical modeling, and cryptography; for teaching; as well as postgraduate training leading to a research career in mathematics. A strong background in applied mathematics is also necessary for research in many areas of computer science, social science, and engineering.

4.2.11.1.2

Applied Statistical Sciences

Agriculture, Banking, Economic Planning, Education, Engineering, Forestry, Health Research, Insurance, Manufacturing, Market Research, Monitoring & Evaluation, Scientific Research, Social Research, and Transport. 4.2.11.1.3

 

 

Computer Science

Systems/Business Analyst/Developers: Combining computing knowledge and business graduates should be able to link between the programmer and the user, converting the user's requirements into computer system designs. Web Programmer - These are the people who convert systems designs into a form understood by the computer. Application programmers are concerned more with business requirements, whereas technical programmers are concerned primarily with more complex tasks. Network specialists: These are experts in areas such as Data Communication Networks, Databases and Operating Systems. Graduating students can have careers in research and development at academic institutions.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.2.11.2 Minimum Admission Requirements

4.2.11.2.1


An average of 60% in the relevant undergraduate modules for the discipline.

4.2.11.2.1

Master of Science

A good BSc Honours degree in a relevant discipline. The department may put additional requirements. . 4.2.11.3

Bachelor of Science Honours (Mathematics): BSM

The programme requires that a student does FOUR courses from the list in the table below and a Compulsory Research Project. However, a student who chooses MAT4101 may not choose either MAT4105 or MAT4107. The required minimum total credits is 120.

4.2.11.3.1

Curriculum Information

Course Name

Course Code

Credits

Pre-Requisite

Algebra

MAT4101

24

Admission Requirements*

Classical Analysis

MAT4102

24


Functional Analysis

MAT4103

24


General Topology

MAT4104

24


Group Theory

MAT4105

24


Measure Theory

MAT4106

24


Ring Theory

MAT4107

24


Differential Equations

MAT4108

24


Research Project (Compulsory)

MAT4109

30





4.2.11.3.2

Pre-requisite Courses

Course Code

Course Name

Pre-Requisite

MAT4101

Algebra

MAT32M1

MAT4102

Classical Analysis

MAT31M1

MAT4103

Functional Analysis

MAT31M1

MAT4104

General Topology

MAT31M1

MAT4105

Group Theory

MAT31M1, MAT32M1

MAT4106

Measure Theory

MAT31M1

MAT4107

Ring Theory

MAT31M1, MAT32M1

MAT4108

Differential Equations

MAT22M1

4.2.11.3.3

Articulation

Vertical Vertical Articulation is possible with: MSc Mathematics, NQF Level 9 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 8 qualifications offered by WSU, e.g. BSc Hons Applied Mathematics, NQF Level 8, subject to the admission requirements of that qualification. Other Universities Horizontal Articulation is possible with NQF Level 8 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.11.4

Bachelor of Science Honours (Applied Statistical Science)

The programme requires that a student does FOUR courses from the list in the table below and a Compulsory Research Project. The required minimum total credits are 128.





Module Name

Code

Credits

Advanced Probability and distribution theory

STA 4001

24

Advanced Parametric statistical inference

STA4002

24

Advanced sampling theory & methods

STA4003

24

Advanced design and analysis of experiments

STA4004

24

Advanced general linear model

STA4005

24

Advanced Analysis of contingency tables

STA4006

24

Advanced nonparametric statistical inference

STA4007

24

Advanced Multivariate distribution theory

STA4008

24

Advanced special topics: Time series analysis

STA4009

24

Honours project (compulsory)

STA4010

32

4.2.11.4.2

Articulation

Vertical Vertical Articulation is possible with MSc Statistics, NQF Level 9 Horizontal Within WSU Horizontal Articulation may be possible with some NQF Level 8 qualifications offered by WSU. Other Universities Horizontal Articulation is possible with NQF Level 8 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.11.5

Bachelor of Science Honours (Computer Science)

The Computer Science programme provides students with the advanced skills needed for careers involving the design, configuration, and implementation of computer systems and software. Topics studied during the programme



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… include algorithms, artificial intelligence, computer networks, databases, Advanced Enterprise Java Programming and web Computing. Students who successfully complete an extra Honours year can use their enhanced skills to pursue more interesting research and development positions in the ICT industry. An Honours degree also naturally leads to further study for a research higher degree at Masters or Doctorate level The Bachelor of Computer Science (Honours) programme is taken over one full-time year or two part-time years. Entry to the honours programme is possible for graduates of other cognate disciplines. Enquiries regarding admission should be directed to the Head of Department. This one year programme is normally undertaken by students with an excellent academic record in the Bachelor of Computer Science degree who wish to broaden their knowledge as further preparation for professional practice or to meet the requirements for admission to a research degree. Students enrolled in the programme are required to complete a project and directed electives in computer science. By the end of the programme learners should be able to: 

Create complex software applications and perform detailed systems analysis.



Perform basic research with minimal assistance.

Computer Science Honours is a one-year 120 credit programme made up of six 15-credit coursework modules and an individual, supervised project worth 30 credits. At the discretion of the HOD, two of the coursework modules may be external to Computer Science modules.

4.2.11.5.1


Course Title

Code

Credits

Semester Course Type

Pre-requisites

Research Project

CSH42M0

30

1&2

Core


Advanced OO Design and Programming

CSH41M1

15

1

Elective


Advanced Data Communications and CSH41M2 Networking

15

1

Elective



CSH41M4

15

1

Core


Web Engineering

CSH41M3

15

1

Elective




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Artificial Intelligence

CSH42M2

15

2

Elective


Database Systems

CSH42M4

15

2

Elective


Advanced Enterprise Java

CSH42M1

15

2

Elective

CSH41M1

Advanced Algorithms and Data Structures

CSH42M3

15

2

Core

CSH41M1

4.2.11.5.2

Articulation

Vertical Vertical Articulation is possible with MSc Computer Science/Information Technology, NQF Level 9 Horizontal Within WSU Horizontal Articulation may be possible with some NQF Level 8 qualifications offered by WSU. Other Universities Horizontal Articulation is possible with NQF Level 8 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.11.6

Masters Programmes

The required minimum total credits for an MSc is 180, which may be accumulated entirely from a dissertation. Programmes offered

Duration

Duration

Full-time

Part-time

MSc Mathematics

2yrs

4 yrs

MSc Applied Mathematics

2yrs

4 yrs

MSc Statistical Science

2yrs

4 yrs



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Programmes offered

MSc Computer Science *

Duration

Duration

Full-time

Part-time

2yrs

4 yrs

*Currently not offered. Vertical Vertical Articulation is possible with: PhD Mathematics, NQF Level 10 Horizontal Within WSU Horizontal Articulation is possible with NQF Level 9 qualifications offered by WSU. Other Universities Horizontal Articulation is possible with NQF Level 9 qualifications offered by other institutions, subject to the relevant institution’s admission requirements.

4.2.12

Syllabi Details for all Courses

4.2.12.1

Syllabi of Courses: Extended Programmes

EAPM1M1: Mathematical Methods I Module Code

Module Name

NQF Level

Credits

Semester

EAPM1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

160

4 x 50 min Content / Syllabus

1. 2. 3.

Assessment

Coordinate Systems: Review of Coordinate Systems in 2 and 3 dimensions Vectors: Introduction to vectors, Vector Operations, The Dot Product, The Cross Product, Applications to Coordinate Geometry and Mechanics Laboratory Work on Vectors with MATLAB

Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… EAPM1M2: Mathematical Methods II Module Code

Module Name

NQF Level

Credits

Semester

EAPM1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

160


1. 2. 3.

Assessment

Matrix Theory: Matrices and Matrix Operations, Determinants, Inverses. Systems of Linear Equations: Introduction to Systems of Linear Equations, Gaussian Elimination, Gauss-Jordan Elimination, Systems of Equations and Invertibility, Laboratory Work on Linear Algebra with MATLAB


EXMM1M1: Mathematical Methods III Module Code

Module Name

NQF Level

Credits

Semester

EXMM1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

160


Assessment

4.

Sets: Set Operations, De Morgan’s laws, Power Set, Cartesian Products, Indexed Families of Sets, Laws of Algebra of Sets 5. The Fundamental Counting Principle, Permutations, Combinations, The Binomial Theorem, The Principle of Mathematical Induction. 6. Logic: Logical Operations and Truth Tables, Tautologies and Contradictions, Logical Equivalence. 7. Boolean algebra: Boolean Polynomials, Introduction to Two-Terminal Circuit SeriesParallel and Bridge Circuits, Postulates of Switching Circuits, Boolean Identities, Identity Elements, Inverses, and Cancellations. 8. Laboratory Work on Discreet Mathematics with MATLAB Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… EMAM1M2: Mathematical Methods IV

Module Code

Module Name

NQF Level

Credits

Semester

EMAM1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

160

4 x 50 min Content/ Syllabus

Assessment

1.

Linear programming: Introduction, LP Models, The Diet Problem, The WorkScheduling Problem, A Capital Budgeting Problem, Short-term Financial Planning, Blending Problems, Production Process Models, 2. Multi-period Decision Problems: An Inventory Model, Multi-period Financial Models, Multi-period Work Scheduling, The Graphical Method, The Simplex Method – Maximization, The Simplex Method – The Dual, The Simplex Method – Mixed Constraints 3. Laboratory Work on Linear Programming with MATLAB Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.

EMAT1M1: Integrated Mathematics I Module Code

Module Name

NQF Level

Credits

Semester

EMAT1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Assessment

Algebraic Expressions: Factorisation; Remainder and Factor theorems; Nature of roots of a quadratic equation; Simplification of rational expressions; Radicals and Exponents; Change of subject of formula Sets: Definitions and Examples; Operations on sets; Venn Diagrams Real Numbers: The Real number system; Inequalities – linear, quadratic, rational and absolute value; Intervals on the Real line Functions: Definitions; Ways of representing a function (descriptive, algebraic, numerical and graphical); Polynomial, Rational, Absolute value, Exponential and Logarithmic functions; Symmetry; Even and Odd functions; Inverse of a function Limits and Continuity: Limit of a function; Standard limits; Limit theorems (without proof) and their applications; Continuous functions (A geometric and computational approach, minimising the rigorous epsilon-delta approach) Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP) x 60% + Exam Mark x 40%.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… EMAT1M2: Integrated Mathematics II Module Code

Module Name

NQF Level

Credits

Semester

EMAT1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Differentiation, curve sketching, mean value theorems, applications of derivatives and partial differentiation

Assessment

Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP) x 60% + Exam Mark x 40%.

EIMT1M1: Integrated Mathematics III

Module Code

Module Name

NQF Level

Credits

Semester

EIMT1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Intergration and its rules, areas, volumes and rotations of curves, Differential Equations (first order, first degree).

Assessment


EIMT1M2: Integrated Mathematics IV Module Code

Module Name

NQF Level

Credits

Semester

EIMT1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Mathematical Induction: Principle of Mathematical Induction and its applications to standard proofs Sequences and Series: Arithmetic and Geometric sequences and series; Power series




Assessment

expansions; Taylor &Maclaurin series; Binomial series Complex Numbers: Cartesian and Polar co-ordinates and the conversion from one coordinate system to the other; Modulus and Argument; The Argand plane; De Moivre’s theorem; Euler’s formula Vectors: Basic concepts; Vector operations; The Dot product and the Cross product; Application to co-ordinate Matrices: Definitions and Examples; Algebra of matrices; The Inverse of a square matrix; The Determinant of a square matrix; Properties of Determinants Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP) x 60% + Exam Mark x 40%.

ESTA1M1: Integrated Statistics I Module Code

Module Name

NQF Level

Credits

Semester

ESTA1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Descriptive Statistics: Different kinds of variables and measurement scales; Tabular and graphic presentation of data. Construction of frequency tables and their graphic presentation; Relationship of histogram with frequency curve; Stem & leaf diagram; Commonly used fractiles: their meanings and properties, Descriptive measures of central tendency and their properties; Descriptive measures of variation/dispersion and their properties. Economic Statistics (Index Numbers): Characteristics of index numbers of prices; Types of index numbers of prices & Methods of their construction: simple aggregative , weighted aggregative; quantity index numbers; cost of living index numbers.

Assessment


ESTA1M2: Integrated Statistics II Module Code

Module Name

NQF Level

Credits

Semester

ESTA1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160

4 x 50 min Content /

Point & Interval Estimation : Meaning of point estimate . Illustrations with commonly used



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Syllabus

point estimates for population mean , variance ,and proportion . Basic normal-theory interval estimation of these parameters (both one-sample & two-sample cases). Hypothesis Testing : Normal-theory one-and two-sample-based tests of hypotheses about population means , variances & proportions. The chi-square test for independence . Simple Regression : Elementary treatment of the simple linear model.

Assessment


EIST1M1: Integrated Statistics III Module Code

Module Name

EIST1M1

See above

Lectures per week

Pracs per week

4 x 50 min

NQF Level

Credits

Semester

16

1

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160

Content / Syllabus

Set Theory: Definition and examples of a set; Common set operations using Venn diagram; Basic laws of set algebra. Counting Techniques: Product rule for counting; concept of permutation and associated rules; concept of combination and associated rules. Probability I: Definition of probability. Basic rules for probability. Distributions I: Discrete probability distributions in general. The simple treatment of properties and probably calculations involving discrete uniform distribution, the Bernoulli, binomial, negative binomial Hypergeometric& Poisson distributions. Continuous distributions in general . The simple treatment of properties and probability calculations involving continuous uniform distribution , the normal and the associated sampling distributions .

Assessment


EIST1M2: Integrated Statistics IV Module Code

Module Name

NQF Level

Credits

Semester

EIST1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Point & Interval Estimation of parameters in general. One - and - two sample tests of hypotheses about population means, variances,& proportions. Correlation and regression. Significance tests in correlation. Linear regression point prediction.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Curvilinear regression, significance tests in simple linear regression. Introduction to nonparametric tests. The sign test, Wilcoxon's paired-sample test, Mann Whitney U-test Assessment


ECSI1M1 COMPUTER SCIENCE FUNDAMENTALS Module Code

Module Name

NQF Level

Credits

Semester

ECSI1M1

See above

5

16

1

Lectures per week

Practicals per week

Tutorials per week

Number Notional hours of weeks

2 x 1 hr

14

4 x 1 hr Content / Syllabus

160

Theory: 1.Fundamentals of IS: Data, Information, Importance and Requirements of IS. 2. Information Systems and Organisations: Types and Characteristics of Information Systems from an Organisational and Functional Perspective 3.Hardware and Software Fundamentals: Computer Types and Components, System and Application Software. 4. Networks: Wired and Wireless Technologies. 5. Security and Control. 6. Decision Making: DSS and MIS. 7. Information System Development: Classic System Development Life Cycle. Practicals: Consist of 7 tutorials/practicals chosen from each section of content covered.

Entry rules

Admission criteria

Assessment

Continuous Assessment (CA) (Compulsory): The contribution of CA to the semester mark(SM) is 60% comprising 3 major tests (MT), 3 assignments (AA), 3 tutorial assignments and progression (TA). CA = 50% (MT) + 25% (AA) + 25% (TA). rules

Students with CA less than 40% are not allowed to sit for the examination (EA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the semester mark (SM) is 40%. SM = 60 %( CA) + 40 %( EA). To qualify for semester mark (SM) students must obtain an examination mark of not less than 40%. Re-examination (Not compulsory): To qualify for re-examination students must obtain an



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… overall assessment of between 40 and 49%.

ECSI1M2

Introduction to Programming 1

Module Code

Module Name

NQF Level

Credits

Semester

ECSI1M2

See above

5

16

2

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 1 hr

2 x 1 hr

14

160

Content / Syllabus

Theory: 1. Object oriented and structured programming, polymorphism and inheritance, programming languages, basics of a C++ program. 2. Data types, declarations, input and output, assignments, operators (arithmetic, logical, relational) 3.Conditional and switch statements, while and for loops, control statements. 4. Functions with return type void, function overloading. 5. Input from a file, output to a file, reading to the end of the file, arrays. Practicals: Consist of 14 practicals chosen from each section of content covered.

Entry rules

Admission criteria

Assessment and progression

Continuous Assessment (CA) (Compulsory): The contribution of CA to the semester mark(SM) is 60% comprising 3 major tests (MT), 3 tutorial assignments (TA) and practical assessment (PA). CA = 50% (MT) + 25% (PA) + 25% (TA).

rules

Students with CA less than 40% are not allowed to sit for the examination (EA). Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the semester mark (SM) is 40%. SM = 60 %( CA) + 40 %( EA). To qualify for semester mark (SM) students must obtain an examination mark of not less than 40%. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.




EICA1M1 Introduction to Computer Architecture Module Code

Module Name

NQF Level

Credits

Semester

EICA1M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 2 hrs

2 x 2hrs (x 14 2 groups)

112

Content / Syllabus

Theory: General concepts, CPU structure, Processor design, ALU, Bus and Register operations, Number systems, Floating point numbers, Alphanumeric codes, BCD, binary arithmetic – positive and negative values. Design Logic, Boolean algebra, Logic gates. Combinational Logic circuits, flip-flops, Multiplexers and decoders, Counters and registers. Memory and storage techniques, Storage devices, virtual memory and memory management. i/o addressing and interrupts, microprocessors, RISC, CISC technology. Introduction to assembly language programming.

Entry rules

Admission criteria

Assessment

Continuous Assessment (CA) (Compulsory): Two Assignments(40%), Two Tests (40%) and 12 tutorial assessments(20%)

and progression rules

Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.




EIPR1M2

Introduction To Programming II

Module Code

Module Name

NQF Level

Credits

Semester

EIPR1M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 2 hrs

1 x 3 hrs(x 2 groups)


Content / Syllabus

Theory:Classes, Objects and data abstraction, Inheritance, composition, information hiding, polymorphism, Pointers, virtual functions, templates, exception handling.

Assessment

Continuous Assessment (CA) (Compulsory): Two Assignments(30%), Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments(20%)


154


4.2.12.2

Syllabi of Courses: Main Programmes

Note: For courses in Economics and Business Management please refer to the prospectus of the Faculty of Business Management Sciences and Law.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… APM11M1: INTRODUCTION TO LINEAR AND VECTOR ALGEBRA

Module Code

Module Name

NQF Level

Credits

Semester

APM11M1

See above

5

16

1

Lectures/ week

Pracs/ week

Tutorials/ week

No. of weeks

Notional hours

1 x 100 min

13


Introduction to Systems of Linear Equations, Gaussian Elimination, Matrices and Matrix Operations, Inverses Systems of Equations and Invertibility, Determinant, Cramer’s rule, Eigenvalues and Eigenvectors, LU-Decomposition, Cryptography, Sets and Set Operations, The Fundamental Counting Principle, Permutations, Combinations, The Binomial Theorem, Basic Concepts of Probability, Probability Models, Vectors and Vector Operations, The Dot Product, The Cross Product, Applications to Mechanics. Laboratory Work on Vectors and Linear Algebra with MATLAB.

Assessment

Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.

APM12M1: Linear Programming & Applied Computing Module Code

Module Name

NQF Level

Credits

Semester

APM12M1

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13


Boolean Algebra: Introduction Two-Terminal Circuit Series-Parallel and Bridge Circuits Postulates of Switching Circuits Boolean Identities Identity Elements, Inverses and Cancellations. Linear programming: Introduction, LP Models, The Diet Problem, The WorkScheduling Problem, A Capital Budgeting Problem, Short-term Financial Planning, Blending Problems, Production Process Models, Multi-period Decision Problems: An Inventory Model, Multi-period Financial Models, Multi-period Work Scheduling, The Graphical Method, The Simplex Method – Maximization, The Simplex Method – The Dual, The Simplex Method – Mixed Constraints Applied computing. Introduction to MATLAB. Laboratory Work with MATLAB involving manipulating Matrices, Linear Algebra, Linear Programming.

Assessment





APM21M1: Numerical Analysis I Module Code

Module Name

NQF Level

Credits

Semester

APM21M1

See above

6

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13


Introduction to numerical analysis: Iterative Methods, Programming with MATLAB, Interpolation and polynomial approximation: Difference Operators, Constructing Difference Tables using MATLAB, Lagrange Polynomial Interpolation, Hermite Interpolation, Divided Differences, Hermite Revisited, Error Estimation, Numerical differentiation and integration: Differentiation, integration, Newton-Cotes Formulae, Composite Integration. Initial value problems, Existence Theorem, Euler Method, Higher Order Taylor Methods, Runge-Kutta Methods, Midpoint Rule, Higher Order R-K Methods, Multistep Methods, Adams-Bashforth Technique, Adams-Moulton Technique, Predictor Corrector Method

Assessment


APM22M1: Eigen-Value Problems and Fourier Analysis Module Code

Module Name

NQF Level

Credits

Semester

APM22M1

See above

6

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13


Fourier Series: Orthogonality& Normality (Orthonomality) of trigonometric functions, Odd & Even functions, Trigonometric series: Full range & Half range Fourier Series, Parseval Identity. Partial Differential Equations: How initial & boundary value problem relate to (PDEs),Wave Equation, Heat Equation, Laplace Equation, How the separation of variables technique leads (in the simplest examples) to Fourier Series. Eigenvalue Problems: SturmLiouville Equation eigenfuctions& corresponding eigenvalues of Sturm-Liouville problem, Sturm-Liouville problem for equation y・・+・y =0 (eigenvalues &eigenfunctions), Orthogonality of Sturm-Liouvilleeigenfunctions, Series solution Ordinary Differential Equations: Bessel, Legendre, Hermite and associated functions, Solution of Bessell Equation, recurrence relations, Solution of Legendre equation: Legendre polynomials & Rodrigues formulae, Green formulae and application to Laplace equation, Vibration of rectangular & circular membrane, Fourier integral & transformation



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Assessment


APM22M2: Mechanics I Module Code

Module Name

NQF Level

Credits

Semester

APM22M2

See above

6

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13


Particle kinematics in three dimensions. Curvilinear coordinates; spherical and cylindrical. Newton’s law of motion. Conservation of energy. Gravitational and potential theory. Conservation of linear momentum. Collisions. Conservation of angular momentum. Central forces and planetary motion.

Assessment

Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark(DP) x 60% + Exam Mark x 40%.

APM31M1: Numerical Methods Module Code

Module Name

NQF Level

Credits

Semester

APM31M1

See above

7

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13


Assessment

Laplace & Poisson equations: Elliptic, Heat equations-Parabolic, Wave equations-Hyperbolic. Finite difference method: Replacement of partial derivatives in a given equation by corresponding finite difference quotients. Further treatment of the patterns lead us to: Gauss-Seidel Method for Elliptic case. Crank Nicholson Method for Parabolic equations. Present Numerical Method for Parabolic equations. The Finite Element Method (introduction). Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.




APM32M1: Mathematical Programming Module Code

Module Name

NQF Level

Credits

Semester

APM32M1

See above

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1x 100 min

13


Assessment

Linear programming: Basic ideas and concepts of program formulation, Simplex method, Dual problem solution & its relation to the primal. Nonlinear programming (NLP) background involves classification of problems/programs according to: Minimization of unconstrained NLPs, Linearly constrained NLPs that include a special subclass of quadratic programs concerned with minimization of quadratic functions, Objective function having appropriate convexity property. Solution Methods: Lagrangian function with associated multipliers and conditions, Kuhn-Tucker conditions for inequality constrained minimization problems. Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.

MAT11M1 Precalculus & Calculus I Module Code

Module Name

NQF Level

Credits

Semester

MAT11M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Sets, definitions, examples, operations on sets, complementation and DeMorgan’s laws. The real number system, graphs of linear, quadratic, polynomial and rational functions, exponential and logarithmic functions, trigonometric functions, inequalities. Linear systems. Limits, continuity and differentiability of functions of a single variable, curve sketching, maxima and minima, mean value theorems, indeterminate forms.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT12M1: Precalculus & Calculus II Module Code

Module Name

NQF Level

Credits

Semester

MAT12M1

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Mathematical induction, permutations and combinations, binomial theorem, complex numbers and polar coordinates. Introduction to integration, integration of simple functions, fundamental theorem of integral calculus. Further techniques of integration, introduction to series and sequences, power series and Taylor polynomials and Taylor's theorem, introduction to differential equations (ordinary differential equations of first order).

Assessment


MAT21M1: Multivariate Calculus Module Code

Module Name

NQF Level

Credits

Semester

MAT21M1

See above

6

8

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

80


Functions of several variables, surfaces, continuity, partial derivatives, implicit functions, the chain rule, higher order derivatives, Taylor's theorem, local extrema and saddle points, multiple integrals, line integrals, Green's theorem, Jacobians, spherical and cylindrical coordinates.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT21M2: Real Analysis I

Module Code

Module Name

NQF Level

Credits

Semester

MAT21M2

See above

6

8

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

80


Real number system as a complete ordered field, real sequences, convergent sequences, monotone sequences and monotone convergence theorem, subsequences, Cauchy sequences and Cauchy's general principle of convergence, infinite series and various tests of convergence, functions on closed intervals.

Assessment


MAT22M1: Ordinary Differential Equations Module Code

Module Name

NQF Level

Credits

Semester

MAT22M1

See above

6

8

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13

80


Second order linear differential equations with constant coefficients, non-homogeneous equations, special methods for particular integrals, variation of parameters, higher order differential equations, solution in series, applications.

Assessment


MAT22M2: Linear Algebra I Module Code

Module Name

NQF Level

Credits

Semester

MAT22M2

See above

6

8

2

Lectures per

Pracs per week

Tutorials per week

Number of

Notional hours




weeks

2 x 50 min

1 x 50 min

13

80

Content / Syllabus

Further properties of matrices and determinants, real vector spaces, basis and dimension, linear transformations, eigenvalues, diagonalisation.

Assessment


MAT31M1: Real Analysis II Module Code

Module Name

NQF Level

Credits

Semester

MAT31M1

See above

7

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2x 50 min

13

160


Assessment

Countable and uncountable sets, topology of real line; open and closed sets of R and their properties, limit points and the Bolsano - Weirstrass Theorem for sets, subsequences and the Bolzano - Weierstrass Theorem, compact sets and the Heine-Borel Theorem, uniform continuity, Riemann integration, uniform convergence. Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP) x 60% + Exam Mark x 40%.

MAT31M2: Linear Algebra II Module Code

Module Name

NQF Level

Credits

Semester

MAT31M2

See above

7

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13

160


Inner product spaces, the Cauchy - Schwarz and triangle inequalities, orthogonality and orthonormal bases, the Gram -Schmidt orthogonalisation process, complex inner product spaces. eigenvalues and eigenvectors, diagonalisation of a matrix, real symmetric matrices, complex eigenvalues, quadratic forms.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Assessment


MAT32M1: Abstract Algebra Module Code

Module Name

NQF Level

Credits

Semester

MAT32M1

See above

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2x 50 min

13

160


Assessment

Group Theory; definition and examples, elementary properties, subgroups, cosets, Lagrange's Theorem. Ring Theory; definitions, elementary properties, subrings and ideals, integral domains and fields, residue class rings, polynomial rings, congruences, prime and maximal ideals. Homomorphism Theorems; factor groups and rings, the Fundamental homomorphism theorem, embedding theorems. Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP) x 60% + Exam Mark x 40%.

MAT32M2: Complex Analysis Module Code

Module Name

NQF Level

Credits

Semester

MAT32M2

See above

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2x 50 min

13

160


Functions of a complex variable, limit, continuity and differentiability, power series, integration, singularities and the calculus of residues, uniform convergence.

Assessment





STA 11M1: Probability & Distribution Theory 1

Module Code

Module Name

NQF Level

Credits

Semester

STA11M1

See above

5

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Data analysis and Descriptive Statistics Different kinds of variables and measurement scales. Construction and Graphical presentation of frequency distributions. Cumulative frequency; the ogive and percentiles. Measures of central tendency; the Mean, Median and Mode. Measures of Spread; Mean Deviation, the Standard Deviation and the Quartile Deviation. Probability Distributions Introduction to the concept of probability. Counting techniques, Baye’s theorem. Discrete probability distributions, including the Bernoulli, the Binomial, Poisson, Hyper-geometric, and Negative Binomial. Continuous Probability distributions including the Uniform, the Gamma, the Beta and the Chi-Square distributions, the Normal distribution.

Assessment


STA12M2: Statistical Inference I Module Code

Module Name

NQF Level

Credits

Semester

STA12M2

See above

5

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Inferential Statistics: The Central Limit Theorem. Introduction to Sampling distributions including the t-distribution, the Chi-Square distribution and the F-distribution. Estimation of parameters. One and Two sample tests of hypotheses for means. The F-test. Simple Correlation, Simple Linear Regression

Assessment





STA21M1: Probability & Distribution Theory II Module Code

Module Name

NQF Level

Credits

Semester

STA21M1

See above

6

16

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 100 min

13

160


Assessment

Combinatorial analysis, axioms of probability, conditional probability and stochastic independence. Introduction to the concept of a random variable. More detailed treatment of discrete probability distribution, Introduction to mathematical expectation and moment generating functions, Jointly distributed random variables, independent random variables, marginal and conditional distributions. The bivariate normal distribution, Functions of random variables; sums of random variables, The central limit theorem. Chebychev's inequality, DeMoivre-Laplace theorem. Poisson approximation to the binomial distribution. Semester Mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester Mark (DP) x 60% + Exam Mark x 40%.

STA22M2: Statistical Inference II Module Code

Module Name

NQF Level

Credits

Semester

STA22M2

See above

6

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1x 100 min

13

160


Estimation: Properties of good estimators. Unbiased estimators. Consistent estimators. Maximum likelihood, method of moments, and least squares estimators. Interval estimation; confidence intervals for means, difference between two means, proportions. Confidence intervals for variances and ratio of variances.

Hypothesis testing: Testing a statistical hypothesis; the Newman-Pearson Lemma, the power function of a statistical test. likelihood ratio tests. Applications of hypothesis testing; tests concerning means, difference between two means, variances, proportions, differences among k proportions. Analysis of contingency tables, correlation and regression analysis, including multiple linear



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… regression and correlation. Introduction to time series forecasting Assessment


STA31M1: Multivariable Distribution Theory & Linear Models Module Code

Module Name

NQF Level

Credits

Semester

STA31M1

See above

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1x 100 min

13

160


Multivariate Distribution Theory: Random Vector: p-dimensional case , Joint distribution and their applications: p-dimensional case; Marginal & Conditional distributions and their applications to probability calculations, Marginal and Product Moments; Mean Vector; Covariance Matrix; Dispersion Matrix; Expectation of Random Quadratic Form. Joint Moment Generating Function and its applications; The Multivariate Normal Distribution; Quadratic Forms in Normal Variates. Linear Models: Concepts related to linear models; point and interval estimation; hypothesis testing; violation of assumptions; applications of linear models.

Assessment


STA32M2: Time Series & Stochastic Processes Module Code

Module Name

NQF Level

Credits

Semester

STA32M2

See above

7

16

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1x 100 min

13

160


Stochastic Processes: Introduction to stochastic processes. Finite markov chains with special emphasis on two state markov chains. Classification of states. The basic limit theorem of markov chains. Simple markov processes. The Poisson process. Birth and death processes. Introduction to inference for markov chains and markov processes. Time series forecasting: Forecasting a time series with no trend, forecasting a time series with a linear trend, forecasting a time series with a quadratic trend. Forecasting seasonal time series. The multiplicative decomposition model, Winter's method. Forecasting a time series with additive sea-



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… sonal variation; the use of regression models. Application of forecasting techniques. Assessment


CSI12M2: Computer Architecture & Organisation Module Code

Module Name

NQF Level

Credits

Semester

CSI 12M2

See above

5

8

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 2hrs (x 2 groups)

14

84

1 x 2 hrs

Content / Syllabus

Theory: General concepts, CPU structure, Processor design, ALU, Bus and Register operations, Number systems, Floating point numbers, Alphanumeric codes, BCD, binary arithmetic – positive and negative values. Design Logic, Boolean algebra, Logic gates. Combinational Logic circuits, flip-flops, Multiplexers and decoders, Counters and registers. Memory and storage techniques, Storage devices, virtual memory and memory management. i/o addressing and interrupts, microprocessors, RISC, CISC technology. Introduction to assembly language programming.

Entry rules

Admission criteria

Assessment

Continuous Assessment (CA) (Compulsory): Two Assignments(40%), Two Tests (40%) and 12 tutorial assessments(20%)



CSI11M3: Computer Literacy and Web Applications I




Module Code

Module Name

NQF Level

Credits

Semester

CSI 11M3

See above

5

8

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hrs



14

84

Content / Syllabus

Theory: Touch Typing using any open source typing tutor software. Basic Computer Concepts, The term Computer, the Components of a computer, Computer Science fundamentals, advantages and disadvantages of using a computer, The purpose of a network, the WWW and the Internet. The uses of internet, Computer software, categories of computers, Types of computers, computer applications in society. Antivirus, viruses, Trojan horses and worms. The material is presented in a series of weekly lectures and tutorials. Computer Skills training will be given in the practical laboratory sessions of this course. Assignments which emphasise the use of computers will be given. These could be assignments in Microsoft word, Excel, PowerPoint, Excess.

Entry rules

Admission criteria

Assessment

Continuous Assessment (CA) (Compulsory): Two Assignments (30%), Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments (20%)



CSI12M3: Computer Literacy and Web Application II Module Code

Module Name

NQF Level

Credits

Semester

CSI12M3

See above

5

8

2

Lectures per

Pracs per week

Tutorials

Number of

Notional hours




per week

weeks


14

1 x 2 hrs


Content

Theory:The Web, HTTP protocol Basics, HTML 5, CSS, JavaScript and basics in XML.

Assessment



84


CSI11M1: Introduction to Information Systems and Application Module Code

Module Name

NQF Level

Credits

Semester

CSI 11M1

See above

5

8

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hrs

1x2hrs


Content / Syllabus

Theory: Fundamentals of IS, Data and Information; Importance of Information Systems; Computer Based Information Systems, Information System Requirements: Input, Process, Output, Information Systems as seen by the user, End-User Computing Applications; Office Automation; Distributed computing

84

Hardware Fundamentals, Software Fundamentals, User Interfaces, Command driven interfaces; Menu driven interfaces; Icon and pointer based interfaces, Operating Systems; Applications Software; Programming languages, Developing Information Systems, The classic systems development life cycle Business Information Systems, Transactions Processing, Management Information Systems, Decision Support Systems, Expert Systems




Entry rules

Admission criteria

Assessment

Continuous Assessment (CA) (Compulsory): Two Assignments(40%), Two Tests (40%), 12 tutorial assessments(20%)



CSI12M1: Introduction to Object Oriented Programming Module Code

Module Name

NQF Level

Credits

Semester

CSI 12M1

See above

5

8

2

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hrs

1 x 3 hrs( x 2 groups)


14

84

Content / Syllabus

Theory: Classes, Objects and data abstraction, Inheritance, composition, information hiding, polymorphism, Pointers, virtual functions, templates, exception handling.

Entry rules

Admission criteria

Assessment





MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.

CSI11M2: Problem Solving Module Code

Module Name

NQF Level

Credits

Semester

CSI 11M2

See above

5

8

1

Lectures per week

Pracs per week

Tutorials Number of Notional per week weeks hours

1 x 2 hrs



Content / Syllabus

Theory: The Basics of a C++ Program, Data Types, Arithmetic Operators and Operator Precedence Expressions, Type Conversion, Input, Increment and decrement Operators, Output Preprocessor directives, Creating a C++ Program. Input/Output, I/O Streams and Standard I/O devices, Using predefined functions in a program, Input failure, Control Structures, Relational Operators, Logical Operators and logical Expressions, Selection: if and if ….else

14

84

Switch structures, Control structures , Looping, User defined functions, Value returning functions, Void functions without parameters, Void functions with parameters, Value parameters, Reference variables as parameters, Value and reference parameters and memory allocation, Scope of an identifier, Global variables, Static and automatic variables, Function overloading, Functions with default parameters, User defined simple data types, namespaces and the string type, Enumeration type, Arrays and strings, Applications of arrays (searching and sorting), List processing, Bubble sort, Selection sort, Insertion sort, Binary search, Vector type (class), Records, Pointers, linked lists Entry rules

Admission criteria





Continuous Assessment (CA) (Compulsory): Two Assignments(30%), Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments(20%) Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.

CSI21M1: Programming In Java & Networking Module Code

Module Name

NQF Level

Credits

Semester

CSI 21M1

See above

6

14

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hr

1 x 2 hr

14

140

Content / Syllabus

Theory: 1. Java classes, Using data within a program, Using methods, classes and Objects, Advanced Objects Concepts, Making Decisions, Looping, Characters, Strings and strings Buffer, Arrays, Applets, Graphics, Introduction to inheritance, Advanced inheritance Concepts, Understanding Swing Components, Using layout Managers and the event Model, Exception Handling, File input and output, Multithreading and animation, Working with Mysql Databases and Java, Java Server Pages (JSP). Practicals: Consist of 14 practicals chosen from each section of content covered.

Entry Rules

Pre-requisites:CSI12M1and CSI12M2, CSI1203 and MAT12M1

Assessment

Continuous Assessment (CA) (Compulsory):Two Assignments(20%), Two Tests (50%), 12 tutorial assessments(10%) and 12 Practical assessments(20%)


Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.

CSI21M2: Data Communications Code

Module Name

NQF Level

Credits

Semester

CSI 21M2

See above

6

14

1

Lectures per week

Practicals per week

Tutorials per week


1 x 2 hr

14

1 x 2 hr Content / Syllabus

140

Theory: Introduction to Computer Networks, Historical Overview, Communications Technology; Messages &switching : messages & packets, store & forward, circuit switching, multiplexing; Layered network architecture: Over view of layered model – OSI Model: Physical layer, Data link layer, Network layer, Transport layer, Resources Access, Session layer, Presentation layer, Application layer; Computer-networks (revisited); Recent Development in communication technology Computer Communications Architectures, LAN Systems, Internetwork Protocols, Inter-network Operation, Transport Protocols, Network Security, Distributed Applications Practicals: Consist of 14 tutorials chosen from each section of content covered.

Entry Rules

Pre-requisites: CSI11M1, CSI11M2, CSI12M1and CSI12M2, MAT11M1, CSI11M2, CSI1203 and MAT12M1

Assessment



Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. Re-examination (Not compulsory):

CSI22M1: Operating Systems




Module Code

Module Name

NQF Level

Credits

Semester

CSI 22M1

See above

6

14

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hr

1x2 hrs

1 x 2 hr

14

140

Content / Syllabus

Theory: Overview of operating systems, functionalities and characteristics of OS. Hardware concepts related to OS, CPU states, I/O channels, memory hierarchy, microprogramming, The concept of a process, operations on processes, process states, concurrent processes, process control block, process context. Job and processor scheduling, scheduling algorithms, process hierarchies. Problems of concurrent processes, critical sections, mutual exclusion. Mutual exclusion, process co-operation, producer and consumer processes. Semaphores: definition, init, wait, signal operations. Critical sections Interprocess Communication (IPC), Message Passing, Direct and Indirect Deadlocks. Memory organisation and management, storage allocation. Virtual memory concepts, paging and segmentation, address mapping. Virtual storage management, page replacement strategies. File organisation: blocking and buffering, file descriptor, directory structure File and Directory structures, blocks and fragments, directory tree, UNIX file structure. Practicals: Consist of 8 tutorials chosen from each section of content covered.

Entry Rules

Pre-requisites:CSI12M1and CSI12M2,MAT12M1

Assessment




CSI22M2: Data Structures Module Code

Module Name

NQF

Credits

Semester



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Level CSI 22M2

See above

6

14

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

1 x 2 hr

1 x 3hr

14

140

Content / Syllabus

Theory: Introduction to Data Structures, and Abstract Data Types. Overview, Arrays, declaration, limitations of arrays. Overview, Strings Manipulation, Multidimensional arrays, applications, Analysis and Design of Algorithms. Complexity functions. The big-O notation. Sorting & Searching Algorithms, Pointers & Dynamic Structures, Linked-Lists: Singly-linked lists, Doubly-linked lists, Circular linked lists, Ordered lists, Stacks – Definitions & declaration, Stack operations, Stacks implemented as linked lists, Application; Queues – Definition and Declaration, Implementation, Queue operations, Queues implemented as linked Lists, Priority Queues, Application; Trees – Definition & Declaration, Recursive algorithms, Implementation, Binary trees, Binary Search trees, Binary tree traversal, Application. Templates, Implementing Generic Data Type. Practicals: Consist of 14 practicals chosen from each section of content covered.

Entry Rules

Pre-requisites: CSI11M1, CSI11M2, CSI12M1and CSI12M2, MAT11M1, CSI11M2, CSI1203 and MAT12M1

Assessment






MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSI31M1: Introduction to Artificial Intelligence

Module Code

Module Name

NQF Level

Credits

Semester

CSI31M1

See above

6

14

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

14

140

Contents/ Syllabus

Theory: Introduction to AI, Definitions, Early work-A Historical Overview, The Turing Test, Intelligent Agents, The Idea of an Agent, Types of Agents, Types of Environments, Solving Problems by Search, Problem Solving agents, Formulating Problems, Searching for Solutions Search Strategies, Uninformed Search Strategies, Breadth First Search, Depth First Search, Uniform Cost Path Search, Informed Search Methods, Best-First –Search, Greedy Search, A* Search, Game Playing, The 8 Puzzle, The 8 Queens problem, Tic-Tac-Toe, First Order Predicate Logic, Representation, Reasoning and Logic, Propositional Logic, Syntax and Semantics, Using First Order Logic, Learning Methods, Neural Networks and Learning. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules

Applicant must have Passed all Second Year Modules, CSI22M2, CSI21M2

Assessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), threetutorial assignments (TA), a practical assessment (PA), an examination (EA) and a re-examination (RA).


Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSI31M2: Software Engineering 1 Module Code

Module Name

NQF Level Credits

Semester

CSI31M2

See above

6

14

1

Lectures per week

Pracs per week

Tutorials per week

Numbe r of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

14

140

Content / Syllabus

Theory: Need for Software Engineering, Problems in software development, What is software engineering? software process: the waterfall model, prototyping approaches, evolutionary development models, project management: scheduling, cost estimation, requirements & design analysis: requirements engineering, analysis, definition, specification, requirements document, functional and non-functional requirements, requirements evolution: use-cases, class diagrams, state diagrams, software design: principles of design, designing for reusability, adaptability and maintainability, design quality software architecture, testing: test plans, testing methods, test strategies software maintenance and evolution.: software change and maintenance, software re-engineering, software configuration management. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry rules

OTHER (specify): CSI22M2, CSI21M2

ssessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), three tutorial assignments (TA), a practical assessment (PA), an examination (EA) and a re-examination (RA).


Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%. Exclusion from module

A student will be excluded from the course after failing the module twice. A student excluded from a course may be re-admitted after presenting a similar course from another university for credit.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSI32M1: Database Management Systems

Module Code

Module Name

NQF Level

Credits

Semester

CSI32M1

See above

7

14

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

14

140

Content / Syllabus

Theory: File Systems and Databases, The Relational Database Model, Structured Query Language (SQL), Entity Relationship (E-R) Modeling, Normalisation of Database Tables, Database Design, Transaction Management and Concurrency Control, Distributed Database Management System, Object-Oriented Databases, Database Administration, Database and The Internet. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules

Applicant must have Passed all Second Year Modules, CSI22M2, CSI21M2

Assessment






MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSI32M2: Software Engineering II Module Code

Module Name

NQF Level

Credits

Semester

CSI32M2

See above

7

14

1

Lectures per week

Pracs per week

Tutorials per week

Numbe r of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

14

140

Content / Syllabus

Theory: Software Engineering principles revisited, Downstream software Computing activities, Internet software Architectures and Technologies, N-Tier Architectures, CORBA, Java EE and .NET architectures, Web Services, Design Patterns, GOF design Patterns, Web Architecture Patterns, UML Object Diagrams, Challenges and Pitfalls of Software Design, Techniques for design, Design as decision making and evaluation of trade-offs, Examples taken from Object Oriented Design, Architecture – Driving forces, Various examples, Code Construction - UML to code, code to UML, Configuration Management – Source code control and management , Source code processing , Group work support, Versions and Variants, CVS, Quality Assurance -Defect costs, Reliability, Standards, Testing – Types of test, verification and validation, Black and White Box testing, Test analysis and generation, Metrics – Examples and uses, Process and Project metrics, Object orientation metrics. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules

Applicant must have Passed all Second Year Modules, CSI31M1

Assessment






MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4.2.12.3 Syllabi of Courses: Honours Programmes

MAT4101: Algebra Module Code

Module Name

NQF Level

Credits

Semester

MAT4101

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1x 100 min

13


Ring theory; the isomorphism theorems, polynomial rings, the division algorithm, unique factorisation domains, euclidean domain, theory of fields, Galois theory. Group theory; the isomorphism theorems, permutation groups, Sylow theorems, p-groups.

Assessment

Semester mark (DP) will be obtained assessments based on assignments and tests. Final mark will be obtained from the Semester mark (DP)x 60% + Exam Mark x 40%.

MAT4102: Classical Analysis Module Code

Module Name

NQF Level

Credits

Semester

MAT4102

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13


Study of the further properties of a function of a complex variable, conformal mappings, infinite products, analytic continuation, entire functions.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT4103: Functional Analysis Module Code

Module Name

NQF Level

Credits

Semester

MAT4103

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13


A brief review of the theory of metric spaces, normed spaces and their completeness (Banach spaces), linear transformations, Hahn-Banach theorem, reflexivity, open mapping theorem, closed graph theorem and the principle of uniform boundedness, basic theory of Hilbert spaces and finite dimensional spectral theory.

Assessment


MAT4104: General Topology Module Code

Module Name

NQF Level

Credits

Semester

MAT4104

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13


Topological spaces, metric topology, convergence of sequences and nets in topological spaces, continuity and homeomorphism, countability and separation, compactness, connectedness, product topology.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… MAT4105: Group Theory Module Code

Module Name

NQF Level

Credits

Semester

MAT4105

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Isomorphism theorems, permutation groups, Cayley's theorem, Sylow theorems, p-groups, classification of finite groups of low order, free groups, free abelian groups, fundamental theorem of abelian groups, group representations, the fundamental group in topology.

Assessment


MAT4106: Measure Theory Module Code

Module Name

NQF Level

Credits

Semester

MAT4106

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13


Measures; rings and algebras of sets, measures, outer measures, Borel measures on R, integration; measurable functions, product measures, the Lebesgue integral, decomposition and differentiation of measures; signed measures.

Assessment


MAT4107: Ring Theory Module Code

Module Name

NQF Level

Credits

Semester

MAT4107

See above

8

24

1

Lectures per

Pracs per week

Tutorials per week

Number of

Notional hours




weeks

4 x 50 min

2 x 50 min

13

Content / Syllabus

Isomorphism theorems, embedding theorems, polynomial rings, the division algorithm, unique factorisation domains, Euclidean domains, radical theory in commutative rings, theory of finite fields, Galois theory.

Assessment


MAT4108: Differential Equations Module Code

Module Name

NQF Level

Credits

Semester

MAT4108

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

2 x 50 min

13


Study of ordinary differential equations, including modeling physical systems, e.g. predator-prey population models; Analytic methods of solving ordinary differential equations of first and higher orders: Laplace Transform methods, series solutions, etc; Nonlinear autonomous systems: critical point analysis and phase plane diagrams; Numerical solution of differential equations; Introduction to partial differential equations.

Assessment


STA4001: Advanced Probability and distribution theory Module Code

Module Name

NQF Level

Credits

Semester

STA4001

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Probability axioms, probability of finite sample spaces, conditional probability, and Bayes' theorem. Random variables; Transformation of random variables; Order statistics. Moments and moment generating functions, Special distributions, Modes of convergence;



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… convergence in probability, almost sure convergence, The weak and the strong laws of large numbers, The central limit theorem, Sampling distributions.

Assessment

Year Mark (DP) will be obtained from assessments based on assignments and tests. Final mark will be obtained from the Year Mark (DP) x 60% + Exam Mark x 40%.

STA4002: Advanced parametric statistical inference Module Code

Module Name

NQF Level

Credits

Semester

STA4002

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Tests of significance; Point estimation; minimum variance unbiased estimation least square estimation, maximum likelihood estimation, Interval estimation, Hypothesis testing; Neyman-Pearson theory. Generalised likelihood ratio test, Asymptotic theory, Bayesian methods.

Assessment


STA4003: Advanced sampling theory and methods Module Code

Module Name

NQF Level

Credits

Semester

STA4003

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Advanced treatment of the commonly used sampling procedures, Multi-stage and multiphase sampling; Non-sampling errors, Sequential sampling; Sequential probability ratio test, Sampling inspection and quality control.




Assessment


STA4004: Advanced design and analysis of experiments Module Code

Module Name

NQF Level

Credits

Semester

STA4004

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Confounding in factorial experiments, Fractional replication, Response surface designs, Incomplete block designs.

Assessment


STA4005: Advanced general linear model Module Code

Module Name

NQF Level

Credits

Semester

STA4005

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Applications of the general linear model, The regression model, Applications of the regression and design models, The components -of-variance model.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… STA4006: Advanced Analysis of contingency tables

Module Code

Module Name

NQF Level

Credits

Semester

STA4006

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Contingency tables and the chi-square test, 2x2 tables, McNemar's test, Combining information from several tables, Measures of association for contingency tables; Multi-dimensional tables, Log-linear models for contingency tables.

Assessment


STA4007: Advanced nonparametric statistical inference

Module Code

Module Name

NQF Level

Credits

Semester

STA4007

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Introduction to order statistics; Goodness-of-fit tests; the chi-square test, the Kolmogorov Smirnov one sample test. The sign test, the signed-rank test; Two-sample problem; Mann-Whitney U-test; Linear rank test statistics for the location and scale parameters.

Assessment




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… STA4008: Advanced Multivariate distribution theory

Module Code

Module Name

NQF Level

Credits

Semester

STA4008

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


The multivariate normal distribution, The Wishart distribution, Hypothesis testing concerning mean vectors, Application of Hotelling's T2 –statistics, Multivariate analysis of variance. Introduction to principal components, factors analysis, and discriminant analysis.

Assessment


STA4009: Advanced special topics: Time series analysis Module Code

Module Name

NQF Level

Credits

Semester

STA4009

See above

8

24

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

13


Estimation in the domain; Estimating the autocovariance and the autocorrelation functions, Interpreting the correlogram Fourier transformation; Deterministic Sinusoidal perturbation, Fourier analysis, Simple Sinusoidal model, The Nyquist frequency, Periodogram analysis, Transforming the truncated autocovariance function, Hanning and Hamming techniques, Smoothing the periodogram, Fourier transform. Confidence intervals for the spectrum, A comparison of different estimation procedures, Analysing a continuous time series, Bivariate processes, Cross-covariance and Cross-correlation function, State-space models and the Kalmanfilter; Steady models, linear growth models, Forecasting; Univariate and Multivariate forecasting procedures, Modeling seasonality using dummy variable regression.




Assessment


STA4010: Honours project (compulsory) Module Code

Module Name

NQF Level

Credits

Semester

STA4010

See above

8

32

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

1 x 50 min

26


The topic for the Honours project must be chosen from one of the nine module topics listed above.

The findings from the project must be submitted in a short dissertation which will be examined by its supervisor and at least one external assessor.

Assessment

Year mark (DP) will be obtained from assessments based on assignments and tests. Final mark will be obtained from the Year Mark (DP) x 60% + Exam Mark x 40%.

CSH42M3 : Advanced Algorithm and Data Structure Module Code

Module Name

NQF Level

Credits

Semester

CSH4203

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: Practicals: Consist of 5 labs based on what is covered during lectures.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Entry Rules

Applicant must have relevant programming experience at undergraduate level

Assessment



Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (None)



CSH41M3: Web Engineering Module Code

Module Name

NQF Level

Credits

Semester

CSH41M3

Web Engineering

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: 1. Web technologies, HTTP, web clients and web servers, Markup languages HTML. Web programming languages for clients and servers, Web clients and client side technologies e.g. XHTML, CSS, JavaScript, Cookies, AJAX, Web servers and server-side technologies e.g. CGI,Perl, PHP, ASP.NET,sessions,database connectivity, Database Driven systems, XML including DTDs , schemas, namespaces, XSLT,DOM and SAX. Web services e.g. SOAP, WSDL, ASP.NET.Website development tools and multimedia e.g. Visual Studio, Macromedia studio. Web site design issues: e.g. state preservation, navigation, access, content management. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules




MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Assessment and progression


rules Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%. Exclusion from module


CSH42M0: Research Project Module Code

Module Name

NQF Level

Credits

Semester

CSH42M0

See above

8

30

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

30

300


Theory: Comprises a substantial project usually involving a literature review together with a theoretical and/or practical investigation of a computer science problem. Technical content will be dependent on the project undertaken. Project work is embodied in a research paper and presented in a seminar. Additional instruction and assistance in research paper preparation, seminar preparation delivery will be given.

Entry Rules

Applicant must have relevant programming experience at undergraduate level and has completed the Research Methodology module.

Assessment

Examination (None): Continuous Assessment (CA) (Compulsory): Two Seminar Presentation, One oral and system demonstration. Final Research Report. To qualify



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… and progression rules


for course credit students must obtain an overall assessment of 50%. Re-examination (None) A student will be excluded from the course after failing the module twice. A student excluded from a course may be re-admitted after presenting a similar course from another university for credit.

CSH41M4 : Research Methodology Module Code

Module Name

NQF Level

Credits

Semester

CSH41M4

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

15

150

Content / Syllabus

Theory: Communication and presentation skills, project management, scientific and technical writing, experimental design and validation, literature review, citing and referencing, Referencing tools, Research methods in Computer Science, EndNote, Stages of Research Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules

Administration requirements.

Assessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), three tutorial assignments (TA), an examination (EA) and a reexamination (RA).





MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Exclusion from module


CSH42M1: Advanced Enterprise Java Module Code

Module Name

NQF Level

Credits

Semester

CSH42M1

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: Introduction to Distributed Systems and Enterprise Software, Java Remote Method Invocation, JNDI, Java Message Service. Java Database Connectivity, Data Access Pattern, Java Persistence API.-JavaMail API; EJB ARCHITECTURE.- The EJB Architecture.- Stateless Session EJBs. Message-Driven EJBs; SERVLETS/JSP/JSF.Web Applications in Java.- Session Management and Lifecycle Monitoring.- Java Server Pages.- JSP Tags and Implicit Objects.- JSP Tag Libraries.- Request , Dispatching.- Filtering.- Securing Web Applications.- Deployment Configuration.Accessing EJBs from Servlets/JSPs; ADDITIONAL TECHNOLOGIES.- Deployment Issues: transactions.- Deployment Issues: Security.- Stateful Session EJBs. Web Services; DESIGN.- JEE Patterns, AJAX, JSF Practicals: Consist of 10 labs based on what is covered during lectures.

Entry Rules


Assessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), three tutorial assignments (TA), a Mini Project assessment (PA), an examination (EA) and a re-examination (RA).


Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (None):



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Exclusion from module


CSH42M2: Database Systems Module Code

Module Name

NQF Level

Credits

Semester

CSH42M4

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: The three level architecture for database systems, Internal level, The relational database model, Relational algebra, relational calculus and SQL,Database design, Data security, integrity, recovery, concurrency and optimisation, Distributed databases: Distribution architectures, Distribution design, Distributed query processing and optimisation , Distributed concurrency control , Distributed reliability protocols, New distribution architectures Object-oriented databases, Data Mining : Exploring Data, classification, Association analysis, cluster Analysis, NoSQL and the Big Data concepts Practicals: Consist of 10 labs based on what is covered during lectures.

Entry Rules

Applicant must have done an undergraduate Database Management Course

Assessment



Examination (Compulsory): One examination (EA). The contribution of the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). To qualify for course credit students must obtain an overall assessment of 50%. Re-examination (None) Exclusion from

A student will be excluded from the course after failing the module twice. A student excluded from a course may be re-admitted after presenting a similar course from



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… module

another university for credit.

CSH41M1: Advanced Object-Oriented Programming and Design Module Code

Module Name

NQF Level

Credits

Semester

CSH41M1

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: Features of object-oriented programming languages; Classes revisited; Inheritance; Design techniques using UML; Design patterns; Abstract classes and interfaces; Inner classes; Objects as wrappers; Containers and collections; Dynamic versus static typing; Facilities for building GUI interfaces; Event handling; Exception handling; Stream- based file I/O, serialisation, Socket Programming; Testing of objectoriented programs (e.g. with JUnit); Annotations and Reflection, Generics. Case studies (ranging from simple to real-world complexity) using UML notation will be used throughout. Practicals: Consist of 10 labs based on what is covered during lectures.

Entry Rules


Assessment






MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSH41M2: Advanced Data Communications and Networking

Module Code

Module Name

NQF Level

Credits

Semester

CSH41M2

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: 1 Frames and Topologies, LAN Features, Building WANs, sensor and Adhoc Wireless networks, Internet Addressing, Sockets, IP Datagrams, Error Checking and UDP, TCP and NAT, DNS, RPC and Middleware, Network Programming, VPNs Networks from a designer’s point of view; systems , transmission techniques and control , protocols, and security issues in use in LAN,MAN and WAN. Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules


Assessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), three tutorial assignments (TA), a practical assessment (PA), an examination (EA) and a reexamination (RA).







MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CSH42M2: Artificial Intelligence Module Code

Module Name

NQF Level

Credits

Semester

CSH42M2

See above

8

15

1

Lectures per week

Pracs per week

Tutorials per week

Number of weeks

Notional hours

3 x 50 min

1 x 3 hrs

1 x 50 min

15

150

Content / Syllabus

Theory: knowledge representation, reasoning, and learning, Reasoning under Uncertainty, Natural Language Processing, machine learning, Probability and Bayesian Networks Practicals: Consist of 5 labs based on what is covered during lectures.

Entry Rules


Assessment

Continuous Assessment (CA) (Compulsory): Two class tests (CT), five assignments (AA), three tutorial assignments (TA), a practical assessment (PA), an examination (EA) and a reexamination (RA).








…………………………………………………………………………………………………………………………………………………………

4.3 DEPARTMENT OF PHYSICAL SCIENCES 4.3.1

Information about the Department

The Department operates from Mthatha and offers undergraduate and post graduate programmes mainly in Chemistry and in Physics. 4.3.2

Mission of the Department

The mission of the department is to become a center of excellence both in teaching and research. Our direct aim is to give young people in the Eastern Cape and beyond the hope and opportunity to realise their scientific aspirations, foster economic growth that will create job opportunities. 4.3.3

Goals of the Department

Build up the Department as a major research center, with well-equipped laboratories and well-qualified and competent staff. To focus on both basic and applied research relevant to the Eastern Cape, the Nation and the region at large. To achieve excellence in teaching and engage actively in community partnership programmes. 4.3.4

Student Societies in the Department

Science student society 4.3.5


Programmes offered

Duration (years)

Campus

Bachelor of Science (Chemistry) Extended

4

Mthatha

Bachelor of Science (Chemistry)

3

Mthatha


1

Mthatha

Master of Science (Chemistry)

2

Mthatha


3

Mthatha


3

Mthatha

Bachelor of Science (Physics with Chemistry ) Extended

4

Mthatha

Bachelor of Science (Physics with

4

Mthatha

Department of Physical Sciences l page 188


MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Mathematics) Extended Bachelor of Science Honours (Physics)

1

Mthatha

Master of Science (Physics)

2

Mthatha

4.3.6


4.3.6.1 Bachelor of Science (Chemistry)

The programme is designed to produce graduates with solid foundations in all branches of chemistry. The graduates also take additional mathematics courses up to level two thereby making them capable of understanding physical science phenomenon. The industrial and environmental chemistry courses offered will help students understand their environments and make them environmentally conscious. Chemists are employed in every sphere of human activity. Of all the sciences, chemistry graduates are the most employable. A chemistry degree is also a good basis for further studies in chemical engineering, finance and business studies.

4.3.6.2 Bachelor of Science Honours (Chemistry)

Graduates of this programme receive a solid foundation in chemistry that opens up various career opportunities for them. They find employment in education, research institutions and industry. A good number of students proceed to postgraduate studies in chemistry.

4.3.6.3 Master of Science (Chemistry)

Masters programme is currently by research only. Graduates of this programme generally continue their studies to PhD level, or they may get employed in industry as research scientists and in government.

4.3.7

Entrepreneurship and Professional Development of Students

A chemistry undergraduate degree is not only aimed at producing graduates that may be employed as chemists and senior technicians in industries such as petrochemical, pharmaceutical, mining, metallurgy and educational institutions, but also produce job-creators or employers in their fields of study as entrepreneurs. Professional membership of staff and graduates with bodies, such as the South African Chemical Institute (SACI), the South African Council for Natural Scientific Professions (SACNASP), is encouraged.




4.3.8


Chemical, agricultural, pharmaceutical, mining and textile industries. 4.3.9


4.3.9.1 Bachelor of Science (Chemistry)

Ability to utilise acquired skills, in various disciplines in the work environment.

4.3.9.2 Bachelor of Science Honours (Chemistry)

Graduates are able to work with minimal supervision. Acquired skills can be used in research and other disciplines in the work environment. 4.3.9.3 Master of Science (Chemistry)

Graduates of this programme are able to work without supervision. They are highly skilled and well sort after. They are capable of performing various chemical manipulations, interpret data, draw conclusions and take important decisions in work or research environment. A good number of graduates of this programme usually pursue their studies further to PhD level.

4.3.10


4.3.10.1


4.3.10.1.1


BSc Chemistry (both 3 - and 4 - year programmes) National Senior Certificate or equivalent qualification with a minimum of a 4 symbol in Mathematics, Physical Science and English.





Bachelor of Science in Chemistry or equivalent qualification 4.3.10.1.3


Bachelor of Science Honours (Chemistry) or equivalent qualification 4.3.11

Undergraduate Programmes and General Programme Rules

4.3.11.1


All students in year III are encouraged to take the module CHE31M1. They are expected (without exception) to research on a topic given to them, present the results of their findings in a departmental seminar and hand in a written report of such findings for further assessment. 4.3.11.2


All Honours students are expected (without exception) to research on a topic given to them, present the results of their findings in a departmental seminar and hand in a written report of such findings for further assessment by internal and external examiners.

4.3.11.3


All Masters Students are expected (without exception) to research on a topic given to them, present the results of their findings in departmental seminars and if possible in national and/or international conferences. A written thesis of his/her findings is assessed by internal and external examiners. 4.3.12

Progression rules

4.3.12.1


Year II: To be allowed to register for BSc (Chemistry) level II a student must pass all Level I Chemistry courses/modules, prescribed Mathematics and Physics courses/modules.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Year III: To be allowed to register for Chemistry level III a student must pass at least three modules of Chemistry Level II and must pass a minimum of one prescribed Level II Mathematics and one prescribed Level II Physics courses/modules. 4.3.13

Completion Rules

Students must complete a minimum of 360 credits for the 3 year Bachelor of Science degree programme. Students must complete a minimum of 480 credits for the 4 year Bachelor of Science (Chemistry)/Bachelor of Science (Physics) programme. 4.3.13.2

Bachelor of Science (Chemistry) Extended

Minimum of 480 credits in approved programme modules passed at 50% or better for the extended

4.3.13.2


Minimum of 360 credits in approved programme modules passed at 50% or better for the Main BSc Chemistry programme 4.3.13.3


SUCCESSFUL Minimum of 120 credits in approved programme modules passed at 50% or better; including the project. 4.3.13.4


Presentation of research proposal at departmental forum Successful undertaking of the research work Presentation of research results to a departmental forum Presentation of research results at a recognised conference Assessment of the research work by an internal assessor/supervisor and by two independent external examiners recommended by the department through FACEX and the Directorate of Post-graduate Studies for Senate approval. 4.3.14

Programmes Articulation

4.3.14.1

National Diploma: Analytical Chemistry

Bachelor of Technology in Chemistry, Bachelor of Science in Chemistry



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Applicants may preferably be admitted into 2nd year BSc Chemistry programme with possible exemption from third year Analytical Chemistry course/modules. 4.3.14.2

Bachelor of Science in Chemistry

BSc Honours (Chemistry). 4.3.14.3


Master of Science in Chemistry. 4.3.14.4


PhD in Chemistry 4.3.15

Programme Curriculum

4.3.15.1

Bachelor of Science (Chemistry) Extended Programme

The first two years of the Extended BSc Chemistry (4years) are equivalent in General Chemistry content to the first year of the Main (3 years) BSc Chemistry programme.

Table 1: Chemistry Extended Programme Curriculum Year Level

Semester Course type

1

Foundation

1

Course

Code

Credits

General Study Skills I Computer Literacy

GSS1111 CLT 1101

8 8


ECHE1M1

16


EMAT1M1

16


EXGP1M1

16

Extended General Chemistry III

ECHE1M3

16


MAT1113

16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Year Level

Semester Course type

Course

Code

Credits


EGPY1M2

16

Foundation English for Academic Purposes

ELS1205

8

Elective

Applied Statistics

APS1101

16


ECHE1M2

16

Extended General Chemistry IV

ECHEIM4

16

2


EIMT1M2

16

S


EGPH1M2

16

GSS1212

8

Computer literacy

CLT1102

8

Applied Statistics

APS1202

16

S

Foundation General Study skills

Elective

The third year of the Extended BSc Chemistry is the same as the second year of the main stream BSc programme.





Table 2: Mainstream Chemistry Programme Curriculum Year Level

Semester

Course

Code

Credits

Foundation


ELS1105

8

General Chemistry I

CHE11M1

16

Pre-calculus and calculus I

MAT11M1

16

General Physics I

PHY11M1

16

Only one 8 credit elective from elective list 1

Elective

8


ELS1205

8


CHE12M1

16

Pre-calculus and calculus II

MAT12M1

16

General Physics II

PHY12M2

16


CHE21M2

16


CHE21M5

16


MAT21M1

8

Real Analysis I

MAT21M2

8

Mechanics and Waves

PHY21M1

16


CHE22M3

16


CHE22M4

16


MAT22M1

8

Linear Algebra I

MAT22M2

8


PHY22M2

16


CHE31M3

16


CHE31M4

16


CHE32M2

16


CHE32M5

16

Research, Report and Seminar

CHE31M1

16

1

1

Foundation

2

3

2b

4

5 3c 6



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… b. Students in level II of the BSc Chemistry are allowed to register for same level courses in mathematics or physics to improve their background in mathematics and or physics if they qualify to register for the courses. c. Students in level III of the BSc Chemistry are allowed to register for same level courses in mathematics or physics to improve their background in mathematics and or physics if they qualify to register for the courses.

4.3.15.3

Pre-Requisites for the BSc (Chemistry) programme modules

Table 3: Pre-Requisites Module/Course name Analytical Chemistry II

Prerequisite General Chemistry Level I


Mathematics AND Physics Level I

Inorganic Chemistry Organic Chemistry II Inorganic Chemistry III

Inorganic Chemistry Level II


Organic Chemistry Level II


Analytical Chemistry Level II


Physical Chemistry Level II

Research, Report and Seminar

All prescribed Chemistry module/courses Level II

4.3.15.4

Year Level

Mathematics AND/OR Physics Level II

Bachelor of Science Honours (Chemistry): Strictly one year programme

Semester 1

1 2

Course

Code

Credits

Organic Chemistry IV

CHE42M4

16

Physical Chemistry IV

CHE42M5

16

Inorganic Chemistry IV

CHE41M3

16

Analytical Chemistry IV

CHE41M2

16

Honours Dissertation& Research

CHE42M8

64




4.3.15.5


Year Level

Semester Course

Code

Credits

1

1 & 2

Masters dissertation Level I

CHE51M8

90

2

1 & 2

Masters dissertation Level II

CHE52M8

90

4.3.16 Core Syllabi of Programme Subjects Bachelor of Science (Chemistry) & Bachelor of Science Honours (Chemistry) degree programmes CHEMISTRY PROGRAMME CURRICULUM – BSCC [B Sc (CHEMISTRY)] (Extended BSc only differs from Main BSc in the duration and total credits to complete each of the programmes) 4.3.16.1

Chemistry Main Programme

STUDY PERIOD

1st

CORE MODULE CREDIT MODULE CODE

TITLE

16.00

CHE11M1

GENERAL CHEMISTRY I

16.00

CHE12M1

GENERAL CHEMISTRY II

16.00

MAT11M1

PRECALCULUS & CALCULUS I

16.00

MAT12M1

PRECALCULUS & CALCULUS II

16.00

PHY11M1

GENERAL PHYSICS I

16.00

PHY12M1

GENERAL PHYSICS I

8.00

CLT11M1

COMPUTER LITERACY

8.00

CLT12M2

COMPUTER LITERACY



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 8.00

COK11M0

COMMUNICATION SKILLS

8.00

BSP11M1

PLANT FORM & FUNCTION

8.00

BSP11M2

ANIMAL FORM & FUNCTION

8.00

EADI1M1

ANIMAL DIVERSITY

16.00

BSP12M2

CELL BIOLOGY, & GENETICS DEVELOPMENT

8.00

BSP12M4

PLANT DIVERSITY

16.00

GEO11M1

INTRODUCTION TO ENVIRONMENTAL TECHNIQUES

16.00

GEO12M1

INTRODUCTION TO ENVIRONMENTAL TECHNIQUES

16.00

GEO11M2

INTRODUCTION TO PHYSICAL ENVIRONMENT

Total credits 120 ELECTIVES Level I

Electives include any Physical Geography, Biological Sciences modules offered at level I with the approval of the Head of the department

STUDY PERIOD CORE MODULE CREDIT

2nd MODULE CODE

DESCRIPTION

16.00

CHE21M2

ANALYTICAL CHEMISTRY II

16.00

CHE21M5

PHYSICAL CHEMISTRY II

16.00

CHE22M3

INORGANIC CHEMISTRY II

16.00

CHE22M4

ORGANIC CHEMISTRY II




MAT21M1

MULTIVARIATE CALCULUS

8.00

MAT22M1

ORDINARY DIFFERENTIAL EQUATIONS

8.00

MAT22M2

LINEAR ALGEBRA I

16.00

PHY21M1

MECHANICS AND WAVES

16.00

PHY22M2

THERMODYNAMICS, ATOMIC AND NUCLEAR

8.00

MAT21M2

REAL ANALYSIS I

16.00

BSP22M4

BIOCHEMISTRY

Total credits 88 ELECTIVES Level II

Electives include any Mathematics, Physics or Physical Geography at level II module with the approval of the Head of the department

STUDY PERIOD CORE MODULE CREDIT

3rd MODULE CODE

DESCRIPTION

16.00

CHE31M1

SEMINAR/PRACTICAL PRESENTATION

16.00

CHE31M3

INORGANIC CHEMISTRY

16.00

CHE31M4

ORGANIC CHEMISTRY

16.00

CHE32M2

ANALYTICAL CHEMISTRY

16.00

CHE32M5

PHYSICAL CHEMISTRY

Total credits 80




ELECTIVES Level II 24.00

PHY31M1

ELECTROMAGNETISM & QUANTUM MECHANICS

24.00

PHY32M2

SOLID STATE & STATS PHYSICS

16.00

MAT31M1

REAL ANALYSIS II

16.00

MAT31M2

LINEAR ALGEBRA II

16.00

MAT32M1

ABSTRAC ALGEBRA

16.00

MAT32M2

COMPLEX ANALYSIS

16.00

GEO31M1

GEOGRAPHICAL INFO SYSTEMS

16.00

GEO32M1

GEOGRAPHICAL INFO SYSTEMS

Electives include any Mathematics and or Physics level III module with the approval of the Head of the Department

4.3.16.2


STUDY PERIOD 4th

CORE MODULE CREDIT

MODULE CODE

DESCRIPTION

16.00

CHE41M1

SEMINAR/PRESENTATION

16.00

CHE42M2

ANALYTICAL CHEMISTRY

16.00

CHE41M3

INORGANIC CHEMISTRY




CHE41M4

ORGANIC CHEMISTRY

16.00

CHE42M5

PHYSICAL CHEMISTRY

40.00

CHE42M8

PROJECT/DISSERTATION

Total credits 120 4.3.17.2

Programmes Detailed Curricula

4.3.17.2.1

General Chemistry Detailed Curriculum

CHE11M1

GENERAL CHEMISTRY I

Module Code Module Name

NQF Level

Credits

Semester

CHE11M1

See above

7

16

1

Contact hours

Lectures/Tutorials per week

Practicals per week

Number of weeks

Notional hours

5 (4 lectures + 1 tutorial)

1(3 hours)

Content or Syllabus

Module Outcomes

12

160

Theory: 1. Matter and measurements; Mole concept and stoichiometry; Reactions between ions in aqueous solutions; Redox Reactions, Introduction to Acids and Bases, Atoms, Atoms, Molecules and Ions; Atomic theory, Periodic properties of the elements; Basic concepts of chemical bonding, Shapes of molecules After engagement with the module content and processes, the students should be able to: articulate basic chemistry terms/concepts, perform calculations based on chemical relationships, comprehend and follow experimental procedure, carry out experiments in chemistry, interpret experimental results, define different chemical methods, be aware of safety procedures in handling hazardous materials.

Learning and Learning and Teaching Session Teaching

Number

Hours

Total



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Breakdown

Lectures & Tutorials (4L + 1T)

12

5

60

Practicals

12

3

36

Total Assessment Breakdown

96

Assessment Sessions

Number

Hours

Total

Tests

2

2

4

Assignments

2

Practical reports

12

Examination

1

3

3

1

3

3

Supp-examination

Total Projected self study time breakdown

7

Self study Sessions Private study

Number

Hours

Total 57

Grand Total Continuous Assessment (CA)

160

Assignments 15%,tests 60% and practical mark 25% Continuous assessment (CA) : Overall assessment (OA) = 60 : 100.

Examination Written examination (WA) : overall assessment (OA) = 40 : 100.




CHE12M1

GENERAL CHEMISTRY II

Module Code

Module Name

NQF Level

Credits

Semester

CHE12M1

See above

7

16

1

Contact hours


Practicals per week


5 (4 lectures + 1 tutorial)

1(3 hours)

12

Content or Syllabus

160

Theory: First year organic chemistry course = 24 lectures. 1. Introduction: Scope of organic chemistry. 2. General Principles. 3. Hydrocarbons. 4. Organic halogen compounds 5. Alcohols. 6. Aldehydes and ketones. 7. Carboxylic acids and their derivatives. 8. Amines. First Year Physical Chemistry Course = 24 lectures. 1. Intermolecular Forces, Liquids & Solids. 2. Chemical thermodynamics. 3. Chemical equilibrium. 4. Acid and base equilibria. 5. Electrochemistry. 6. Introduction to chemical kinetics.

Module Outcomes

After engagement with the module content and processes, the students should be able to: articulate basic chemistry terms/concepts, perform calculations based on chemical relationships, comprehend and follow experimental procedure, carry out experiments in chemistry, interpret experimental results, define different chemical methods, be aware of safety procedures in handling hazardous materials

Learning

Learning and Teaching Session

and Teaching

Number

Hours

Lectures & Tutorials (4L + 1T)

12

5

Practicals

12

3

Total

60

Breakdown

Total

36 96



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Assessment Breakdown

Assessment Sessions

Number

Hours

Total

Tests

2

2

4

Assignments

2

Practical reports

12

Examination

1

3

3

1

3

3

Supp-examination


7

Self study Sessions

Number

Hours

Total

Private study (include assignments and self study)

57

Grand Total

160

Continuous Assessment (CA)

Assignments 15%,tests 60% and practical mark 25%

Examination

Written examination (WA) : overall assessment (OA) = 40 : 100.

Continuous assessment (CA) : Overall assessment (OA) = 60 : 100.

4.3.17.2.2

Analytical Chemistry Detailed Curriculum

CHE21M2

ANALYTICAL CHEMISTRY II

Module Code

Module Name

NQF Level

Credits

Semester

CHE21M2

See above

7

16

1

Contact hours


Practicals per week

Number of weeks

Notional hours



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… 4 hours (at least 1 hour tutorial) Content or Syllabus

6 hours

12

160

Tools of Analytical Chemistry: Introduction to Analytical Chemistry. Calculations used in Analytical Chemistry. Errors in Chemical Analysis. Random Errors in Chemical Analysis. Statistical Data Treatment and Evaluation. Sampling, Standardisation and Calibration. Quality Assurance in Chemical Analysis Chemical Equilibria: Aqueous Solutions and Chemical Equilibria. Effects of Electrolytes on Chemical Equilibria. Solving Equilibrium Calculations Classical Methods of Analysis:. Gravimetric Methods of Analysis. Titrimetric Methods of Analysis: Precipitation Titrimetry. Principles of Neutralisation Titrations. Titration Curves for Complex Acid/ Base Systems. Applications of Neutralisation Titrations. Complexation Reactions and Titrations. Electrochemical Methods of Analysis. Introduction to Electrochemistry. Applications of Standard Electrode Potentials. Applications of Oxidation / Reduction Titrations. Potentiometry and Electrogravimetry

Module Outcomes

After engagement with the module content and processes, the students should be able to: Draw a representative sample and prepare it for chemical analysis; apply appropriate statistical techniques to obtain useful chemical information from raw data; operate a chemical quality assurance programme; have a knowledge of sampling and the principles of gravimetry and titrimetry; demonstrate competence in the practical use of gravimetric and titrimetric techniques in carrying out analysis; have ability to perform the calculations required to obtain useful chemical information from given analytical data.

Learning


Number

Hours

Total

Lectures & Tutorials

12

4

48

*Practicals

6

6

36

and Teaching Breakdown


84

Assessment Sessions Tests (All levels) Assignments Practical reports

Number

2

Hours

Total

2

4

2 6



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Examination Supp-examination

1

3

3

1

3

3

Grand Total

7

Projected self study time breakdown

Self study Sessions



Private study

Number

Hours

Total 69*

Grand Total

160


Examination Written examination (WA) : overall assessment (OA) = 40 : 100.

CHE32M2 : ANALYTICAL CHEMISTRY III Module Code

Module Name

NQF Level

Credits

Semester

CHE32M2

See above

7

16

1

Contact hours

Content or Syllabus


Pracs per week

Number of weeks

Notional hours

4 hours (at least 1 hour tutorial)

6 hours

12

160

Electrochemical Methods of analysis. Coulometry. Voltammetry. Spectral Methods of Analysis. Introduction to spectrophotometry. Molecular spectroscopy, Molecular spectroscopy equipment, Atomic spectroscopy. Chemical Separation Methods, Solvent extraction, Chromatography theory, Gas chromatography, Liquid chromatography, Other Chromatographic Techniques, Supercritical fluid chromatography, Electrophoresis, Affinity chromatography, Field Flow Fractionation, Mass Spectrometry for chromatographers, Hyphenated (Ancillary) Methods, Multidimensional chromatography, Introduction to Thermal Methods of Analysis, Introduction to Radiochemical Methods of Analysis.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Module Outcomes Learning


Number

Hours

Total

Teaching


12

4

48

Breakdown

Practicals

12

6

36

and


84

Assessment Sessions Tests

2

Hours

Total

2

4

Assignments

2

Practical reports

6

Examination

1

3

3

1

3

3

Number

Hours

Total

Supp-examination Projected self study time breakdown

Number

Self study Sessions Private study

59

Grand Total

160



Examination






CHE41M2 : ANALYTICAL CHEMISTRY IV Module Code Module Name

NQF Level

Credits

Semester

CHE41M2

See above

7

16

1

Contact hours


Practicals per week


3 lectures plus 1 tutorial/practical Content or Syllabus

16

Theory: Advanced topics from analytical chemistry selected by the analytical group in consultation with the head of department. Possible Topics include:1. Chemical Separation 2. Solvent extraction 3. Chromatography Theory; GC; Themal analysis 4. Liquid Chromatography; Advanced aspects of LC; Other chromatographic techniques. 5. Advanced NMR 6. Introduction to Spectroscopy; ataomic spectroscopy;molecular spectroscopy, 7. XRD, 8. FTIR.9. ICP, 10. Electrochemistry 11. Advanced Chemometrics for Analytical Chemists (this include quality of analytical measurements)

Learning and Learning and Teaching Teaching Session Breakdown Lectures & Tutorials/Pract

Number

Hours

Total

20

5

100


100

Assessment Sessions

Number

Hours

Total

Tests (All levels)

½

3

3

Assignments

½

4

4

Literature/Lab projects

1

10

10

Examination

1

3

3

Supp-examination

1

3

3


20

Self study Sessions

Number

Private study

1 h a day every week for 12 60 weeks

Grand Total Continuous

180

Hours

Total

180

Assignments 10%,Ttests: 40% and Laboratory Project+ practical mark



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… CHE41M2 : ANALYTICAL CHEMISTRY IV Module Code Module Name

NQF Level

Credits

Semester

Assessment (CA)

50%

Examination

Written examination (WA) : overall assessment (CA) = 40 : 100. Student must obtain a term mark of at least 40% and an exam mark of at least 40% to qualify for a supplementary

4.3.17.2.3

CHE22M3

Continuous assessment (CA) : Overall assessment (OA) = 60 : 100

Inorganic Chemistry Detailed Curriculum

INORGANIC CHEMISTRY II

Module Code

Module Name

NQF Level

Credits

Semester

CHE22M3

See above

7

16

1

Contact hours


Pracs per week


4 hours (at least 1 hour tutorial): 6 hours

12

160

Content or Syllabus

Theory: 1.The chemical bond. 2. Descriptive chemistry of the P-block elements. 3. Coordination chemistry. 4. Inorganic rings, chains and cages

Learning and Teaching Breakdown


Number

Hours

Total


12

4

48

Practicals

12

6

72

Total Assessment

120

Assessment Sessions

Number

Hours

Total



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Breakdown

Tests (All levels)

2

2

4

Assignments

2

Practical reports

6

Examination

1

3

3

1

3

3

Supp-examination

Grand Total Projected self study time breakdown


Self study Sessions

7 Number

Hours

Total

Private study

33

Grand Total

160


Written examination (WA) : overall assessment (OA) = 40 : 100. Examination Supplementary

CHE31M3

INORGANIC CHEMSITRY III

Module Code

Module Name

NQF Level

Credits

Semester

CHE31M3

See above

7

16

1

Contact hours


Pracs per week


4 hours (at least 1 hour tutorial):

6 hours

12

Content or Syllabus

160

Theory: 1.The chemistry of d-block elements. 2. Structure of Transition metal compounds. 3.The chemistry of f-block elements. 4. Introduction to organo-metallic chemistry. 5.Introduction to bio-




inorganic chemistry



Number

Hours

Total


12

4

48

Practicals

12

6

72


120

Assessment Sessions Tests (All levels)

Number 2

Hours

Total

2

4

Assignments

2

Practical reports

6

Examination

1

3

3

1

3

3

Supp-examination


Self study Sessions

7 Number

Hours

Total

Private study

33

Grand Total

160



Examination






CHE41M3

INORGANIC CHEMISTRY IV

Module Code

Module Name

NQF Level

Credits

Semester

CHE41M3

See above

7

16

1

Contact hours


Pracs per Number of Notional week weeks hours

4 hours (at least 1 hour tutorial): 6 hours Content or Syllabus


Breakdown

160

Theory: 1. Atomic Theory:1.1. Basic principles. 1.2 Transition metals – atomic structure and valence. 1.3. f-Transition metals. 1.4. Crystal and ligand field theories. 2. Descriptive Transition Metal Chemistry: 2.1 The early 4d and 5d transition metals. 2.2. The Platinum group metals. 2.3. Uranium chemistry. 3. ORGANOMETALLIC CHEMISTRY: 3.1 General survey. 3.2 Methods of formation – Main Group Elements. 3.3 Some transition metal chemistry relevant to Organometalic chemistry. 3.4 Organotransition metal chemistry. 4. Homogeneous Catalysis: 4.1 General Principles. 4.2 Homogeneous catalysis system in operation. 5. Industrial Inorganic Chemistry Learning and Teaching Session

Number

Hours

Total


12

4

48

Total Assessment

12

48


Number 2

Hours

Total

2

4

Assignments

2

Examination

1

3

3

1

3

3

Supp-examination



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Grand Total Projected self study time breakdown

Self study Sessions

7 Number

Hours

Total

Private study

33

Grand Total

160



Examination


4.3.17.2.4

CHE22M4

Continuous assessment (CA): Overall assessment (OA) = 60 : 100.

Organic Chemistry Detailed Curriculum

ORGANIC CHEMISTRY II

Module Code

Module Name

NQF Level Credits

Semester

CHE22M4

See above

7

16

1

Contact hours


Practicals per week

Number of weeks

Notional hours

4 hours (at least 1 hour tutorial):

6 hours

12

160

Content or Syllabus

Learning and

Theory: 1.Basic Introduction and Revision 2. Stereo- and Alicyclic Chemistry 3. Nucleophilic substitution Reactions 4. Electrophilic substitution Reactions 5. Molecular Rearrangements, 6. Oxidation Reactions 7. Reduction Reactions 8. Spectroscopic Methods in Organic Synthesis Learning and Teaching Session

Number

Hours

Total


12

4

48



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Teaching Breakdown

Assessment Breakdown

Practicals Total

12

6

72 120

Assessment Sessions

Number

Tests (All levels)

2

Assignments

Hours

Total

2

4

2

Practical reports

6

Examination

1

3

3

Supp-examination

1

3

3


Self study Sessions

7 Number

Hours

Total

Private study

33

Grand Total

160



Examination


CHE31M4


ORGANIC CHEMISTRY III

Module Code

Module Name

NQF Level

Credits

Semester

CHE31M4

See above

7

16

1

Contact hours

Lectures/Tutorials per

Practicals Number

Notional




Content or Syllabus

week

per week

of weeks

hours

6 hours (at least 1 hour tutorial)

6 hours

12

160

Theory: 1. Groups Protection in Organic Synthesis 2. Alkylation of Carbanions 3. Formation of C-C bonds by base-catalysed Condensations 4. Formation of C-C bonds by acid-catalysed Condensations 5. The Wittig Reaction 6. Cyclo-addition Reactions (with emphasis on Diels-Alder Reaction) 7. Oxidations 9. Reductions 10. Further Aromatic Chemistry 11. Heterocyclic Chemistry 12. Basic Theory of NMR (both 1H and 13C NMR).

Outcomes

After this course the student is expected to be able to: have deep understanding of organic chemistry in general and organic synthesis in particular, design a method for the preparation of a given compound, recognise named reactions, read and understand literature preparative protocols, interpret NMR spectra to find the structure and predict NMR spectra for a substance


Learning and Teaching Session Lectures & Tutorials Practicals Total Year

Assessment Breakdown

Number

12 12

Hours

Total

4

48

6

72 120

Assessment Sessions Tests

Number

Hours

Total

2

4

1

3

3

1

3

3

2

Assignments

2

Practical reports

6

Examination Supp-examination



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Grand Total Self study Sessions

Projected self study time breakdown


7 Number

Hours

Total

Private study

33

Grand Total

160


Examination

4.3.17.2.5

CHE21M5


Physical Chemistry Detailed Curriculum

PHYSICAL CHEMISTRY II

Module Code

Module Name

NQF Level

Credits

Semester

CHE21M5

See above

7

16

1

Contact hours


Practicals per week


4 hours ( + at least 1 hour tutorial):

6 hours

12

Content or Syllabus

160

Theory: 1.Introduction: units, mathematical review. 2. The First Law of Thermodynamics: Heat, Work, the First Law. 3. Applying the First Law: Heat Capacities, Isothermal and Adiabatic Changes, Reversible and Irreversible Processes. 4. Thermochemistry: Heats of Reaction, Temperature Dependence of Reaction Enthalpies, Heat and Physical Changes. 5. The Second and Third Law of Thermodynamics: Heat Engines, Carnot Cycle, Entropy, Entropy Calculations and Absolute Entropies, the Third Law. 6. Work, free Energy and Chemical Equilibrium: Maximum Work, Free Energy, Thermodynamic Relations and their Manipulations. 7. The Equilibrium Constants for Ideal Gas Reactions. 8.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Equilibrium Constants for Real Gases: Real Gas Behaviour, Van Der Waals Equation, Fugacity, Equilibrium Constants. 9. Phase Equilibrium: Stability of Phases, the Phase Rule, One-Component Systems, Slopes on a Phase Diagram; the Clapeyron Equation. 10. Colligative Properties of Ideal Solutions: Solutions, Raoult’s Law: the Ideal Solution., Partial Molar Quantities, Mixing of Ideal Solutions, Dilute Solutions and Henry’s Law, Activities, Osmotic Pressure, Freezing Point Depression and Boiling Point Elevation. 11. Electrochemical Cells: Classification, EMF and Electrode Potentials, Half-Cells, the Nernst Equation, Thermodynamic Data from Cell EMF’s. 12. Chemical Kinetics: The Concept of Rate of Reaction, Empirical Order of Reaction: Zero, First and Second-Order Reactions, Half-Lives, Determining the Order of Reaction. Learning and Teaching Breakdown

Learning and Teaching Session Number

Hours

Total


12

4

48

Practicals

12

6

72


120


Number 2

Hours

Total

2

4

Assignments

2

Practical reports

6

Examination

1

3

3

1

3

3

Supp-examination


Self study Sessions

7 Number

Hours

Total

Private study

33

Grand Total

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Continuous Assessment (CA)


Examination


CHE32M5


PHYSICAL CHEMISTRY III

Module Code

Module Name

NQF Level

Credits

Semester

CHE32M5

See above

7

16

1

Contact hours


Practicals Number per week of weeks

Notional hours

4 hours (+ at least 1 hour tutorial):

6 hours

160

Content or Syllabus

12

Theory: 1. Reaction Mechanisms: the Concept of a Mechanism, Opposing Reactions and Equilibrium Constants, Consecutive and Parallel Reactions, Rate–Determining Step and Steady- State Approaches, Complex Reactions. 2. Theoretical Approaches to Chemical Kinetics: Temperature Dependence of Reaction Rate, the Collision Theory, the Activated Complex Theory, Unimolecular Reactions and the Lindemann Theory. 3. Surface Work: Surface Tension and Surface Energy, Bubbles and Drops, the Kelvin Equation, Gibbs Formulation for Adsorption, the Langmuir Adsorption Isotherm. 4. Matter and Waves: Simple Harmonic Motion, Wave Motion, Standing Waves, Blackbody Radiation and the Nuclear Atom, the Photoelectric Effect, Spectroscopy and the Bohr Atom, the De Broglie Relation. 5. Quantum Mechanics: the Schrodinger Equation, Postulates of Quantum Mechanics, Operators, Solutions of Schrodinger Equation: the Free Particle, the Particle in a Ring of Constant Potential , the Particle in a Box, the Particle in a Box with One Finite Wall; Tunneling. 6. Rotations and Vibrations of Atoms and Molecules: the Harmonic Oscillator: the Nature of the Harmonic Oscillator Wavefunctions, the Thermodynamics of Harmonic Oscillator Wavefunctions, the Rigid Diatomic Rotor, the



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Thermodynamics of the rigid Rotor. Learning and Teaching Breakdown


Number

Hours

Total


12

4

48

Practicals

12

6

72


120


Number 2

Hours 2

Assignments

2

Practical reports

6

Examination

1

3

1

3

Number

Hours

Supp-examination


Self study Sessions Private study Grand Total



Examination

Written examination (WA) : overall assessment (OA) = 40 : 100. Student must obtain a term mark of at least 40% and an exam mark



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… of at least 40% to qualify for a supplementary

CHE41M5 PHYSICAL CHEMISTRY IV

Module Code

Module Name

NQF Level

Credits

Semester

CHE41M5

See above

7

16

1

Contact hours


Practicals per week

Number of weeks

4 hours ( + at least 1 hour tutorial)

6 hours

12

Content or Syllabus

Notional hours

160

Theory: Advanced Topics from Physical Chemistry selected each year by all members of the Physical Chemistry Staff. The Emphasis will be on motivating students to undertake research by reading around the topics chosen. Possible Topics: surface chemistry, polymer chemistry, properties of liquids including viscosity, solids, quantum chemistry and advanced spectroscopy, statistical mechanics



Number

Hours

Total


12

5

60


60

Assessment Sessions

Number

Hours

Total

Tests (All levels)

2

3

6

Assignments

2

4

8



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Literature/Practical projects

2

5

10

Examination

1

3

3

1

3

3

Supp-examination



Self study Sessions

30 Number

Hours

Total

Private study

60

Grand Total

160

Assignments 20%,tests 40% and practical mark 40% Continuous assessment (CA): Overall assessment (OA) = 60 : 100.

Examination

Written examination (WA): overall assessment (OA) = 40 : 100. Student must obtain a term mark of at least 40% and an exam mark of at least 40% to qualify for a supplementary

4.3.18 Physics Programmes Programmes offered

Duration (years)

Campus


3

Mthatha


3

Mthatha

Bachelor of Science Extended (Physics with Mathematics)

4

Mthatha

Bachelor of Science Extended (Physics with Chemistry)

4

Mthatha


1

Mthatha


2

Mthatha




4.3.18.1


4.3.18.1.1


Graduates of this course may work as physicists in product and process development and quality control. Employment may be in a research lab or other work environments where knowledge of Physics is essential. Companies such as ESCOM, SASOL, CSIR, NRF, mining and educational institutions are potential employers of graduates from this course. 4.3.18.1.2


Graduates of this course may work in product and process development and quality control. Employment may be in a research lab or other work environments where knowledge of Physics and Chemistry is essential. They may work as physicists or chemists, supervising technicians and technologists in product and process development and quality control. Companies such as SASOL, ESCOM, CSIR, NRF, mining and educational institutions are potential employers of graduates from this course. 4.3.18.1.3


Graduates of this course may work as physicists in product and process development and quality control. Employment may be in a research lab or other work environments where knowledge of Physics is essential. Companies such as ESCOM, SASOL, CSIR, NRF, mining and educational institutions are potential employers of graduates from this course. These graduates are expected to take on more challenging roles in the work environment than those with a 3 year BSc. 4.3.18.1.3


In addition to characteristics indicated for the BSc Honours (Physics), MSc graduates are expected to take even more challenging roles in research and solving Physics related problems in the workplace.

4.3.18.2

Entrepreneurship & Professional Development of Students

Practical aspects of Physics prepare students to develop processes and products that can lead to new inventions or improve on existing inventions. This serves as a catalyst for self employment.




4.3.18.3


Research in diverse institutions, education and industry. 4.3.18.4


4.3.18.4.1


Analyse Physics and Mathematics related problems and be able to offer meaningful solutions. Use the acquired knowledge to improve existing processes in the work environment. Competently operate Physics related equipment in a variety of applications. Demonstrate the ability to provide support services where required. 4.3.18.4.2


Analyse Physics and Chemistry related problems and be able to offer meaningful solutions. Use the acquired knowledge to improve existing processes in the work environment. Competently operate Physics and Chemistry related equipment in a variety of applications. Demonstrate the ability to provide support services where required. 4.3.18.4.1


Graduates of this qualification are able to work with minimal supervision. Acquired skills can be used in research and other disciplines in the work environment. 4.3.18.4.1


Graduates of this programme are able to work independently. They are skilled and sort after. They are capable of performing complex measurements, interpret data, draw conclusions and take important decisions in work or research environment. A good number of graduates of this programme usually pursue their studies further to PhD level.




4.3.18.5


4.3.18.5.1


4.3.18.5.1.1

Bachelor of Science Extended Programme

SG (D) or HG (E) in Mathematics and Physical Science and English Using the new National Senior Certificate to a 4 year B Sc degree Certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 in the range 50 % to 54 % in English, Life Orientation, Mathematics, Physical Science and in two other content subjects, preferably It (CAT), etc. 4.3.18.5.1.2


Matric exemption or equivalent qualification with a minimum of an E(HG) or D (SG) Mathematics,Physical Science & English. Using the new National Senior Certificate to 3year B Sc degree Certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 in the range 55 % to 59 % in English, Mathematics, Physical Science and in 2 other content subjects, preferably IT (CAT), etc. A certificate in Advanced Mathematics is optional 4.3.18.5.1.3


A Matric exemption or equivalent qualification, with a minimum of E (HG) or D (SG) in Mathematics and Physical Science & English. Using the new National Senior Certificate to 3year BSc degree Certificate should indicate “qualified for degree” and a minimum achievement rating of 4 in the range 55 % to 59 % in English, Mathematics, Physical Science and in two other subjects preferably IT (CAT), etc. A certificate in Advanced Mathematics is optional 4.3.18.6

Selection Criteria into Undergraduate Programmes

4.3.18.6.1

Bachelor of Science (Physics with Chemistry or Mathematics)

In addition to the minimum admission requirements (see 6.9.1.2 and 6.9.1.3) students aspiring for a degree of Bachelor of Physics (with Chemistry or Mathematics) must show proof of proficiency in English language. For



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… students who do not meet the normal entry requirements, the best scores in Physical Science and Mathematics shall be considered. 4.3.18.7

Postgraduate General Programme Rules

4.3.18.7.1


All Honours students are expected (without exception) to research on a topic given to them, present the results of their findings in a departmental seminar and hand in a written report of such findings for further assessment by internal and external examiners. 4.3.18.7.2


All Masters students are expected (without exception) to research on a topic given them, present the results of their findings in departmental seminars and if possible in national and/or international conferences. A written thesis of his/her work shall be assessed by internal and external examiners. 4.3.18.8

Progression Rules

4.3.18.8.1


Year II: To be allowed to register for level 2 Physics modules, a student must have passed all prescribed level 1 Physics and Mathematics modules. Year III: To be allowed to register for level 3 Physics modules, a student must have passed all prescribed level 2 Physics and Mathematics modules. 4.3.18.8.2


Year II: To be allowed to register for level 2 Physics modules, a student must have passed all prescribed level 1 Physics and Mathematics modules. Year III: To be allowed to register for level 3 Physics modules, a student must have passed all prescribed level 2 Physics and Mathematics modules. 4.3.18.8.3


This is a one year course.





To progress to the second year of the MSc degree a student must have shown credible promise in areas such as literature review, proposal presentation and a tangible start on the research project.

4.3.18.9

Completion Rules

Students must complete a minimum of 360 credits for a Bachelor of Science (Physics with Chemistry or Mathematics). In the case of Bachelor of Science Honours (Physics), a minimum of 120 credits is required to complete the programme. A Master’s degree student requires a minimum of 180 credits to complete the programme.

4.3.18.10

Curriculum

4.3.18.10.1

Undergraduate Programmes

4.3.18.10.1.1

The first 2 years of extended BSc (Physics with Mathematics) (4years)

Year level

Semester

1

Foundation 1A 2

Foundation

1B

1

Course/Module

Code

Credit s


EXGP1M1

16


EMAT1M1

16


ECSI1M1

16

Academic Literacy I

EACL1M1

8


EXGP1M2

16


EMAT1M2

16

Introduction to programming I

ECSI1M2

16


ACL1212

8

Life Skills

ELSK1M2

8


EGPY1M2

16


MAT1113

16

Introduction to Computer architecture

CSI1113

16




16

Elective

2


EGPH1M2

16


EIMT1M2

16

Introduction to programming II

CSI1214

16 16

Elective Electives for level 1B, Semesters 1 and 2 Semester

Name of Module/Course

Code

1


STA11M1 16

Introduction to Vector & Linear Algebra

APM11M 1


STA12M2 16


APM12M 1

16

Credits

2

4.2.9.1.2

Credits

16

BSc (Physics with Mathematics)

Year level

Semester

Course/Module

Code

1

1

General Physics I

PHY11M1 16

Pre-calculus and calculus I

MAT11M1 16


CSI11M1

8

Problem Solving

CSI11M2

8


COK11M0 8

Foundation

Computer Literacy I

CLT11M1 8

2

General Physics II

PHY12M2 16

Pre-calculus and Calculus II

MAT12M1 16

Introduction to Object Oriented Programming

CSI12M1

8

Computer Architecture & Organisation

CSI12M2

8


CLT12M2 8

Foundation




2

1


COK11M0 8

Mechanics and Waves

PHY21M1 16


MAT21M1 8


MAT22M1 8

Elective 2

32 Thermodynamics and Modern Physics

PHY22M2 16

Real Analysis I

MAT21M2 8

Linear Algebra I

MAT22M2 8

Elective 3

1

32 Electromagnetism and Quantum Mechanics

PHY31M1 24

Linear Algebra II

MAT31M2 16

Elective 2

32 Statistical mechanics and Solid State Physics

PHY32M2 24

Complex Analysis

MAT32M2 16

Elective

16

Electives for level 2, Semesters 1 and 2 Semester

1

2


Code

Credits


STA11M1 16


APM11M1 16

Data Communication & Networking

CSI2102


STA12M2 16


APM12M1 16

Data Structures

CSI2202

14


Code

Credits

Numerical analysis 201

APM21M1 16

Real analysis II

MAT31M1 16

14

Electives for level 3, Semesters 1 and 2 Semester 1




2

4.2.9.1.3

Year level

Introduction to artificial intelligence

CSI3101

14

Software engineering

CSI3102

14

Probability distribution theory

STA21M1 16

Eigen value problems

APM22M1 16

Abstract Algebra

MAT32M1 16

Database management systems

CSI3201

14

Internet applications

CSI3202

14

Statistical inference II

STA22M2 16

The first 2 years of extended B Sc (Physics with Chemistry) (4years)

Semester

1

Foundation 1A 2

Foundation

1

Foundation 1B

Course/Module

Code

Credits


EXGP1M1

16


EMAT1M1

16


ECHE1M1

16

Academic Literacy I

EACL1M1

8


EXGP1M2

16


EMAT1M2

16

Extended Chemistry II

ECHE1M2

16


ACL1212

8

Life Skills

LSK1012

8


EGPY1M2

16


EIMT1M1

16

Extended General Chemistry III

ECHE1M3

16

Computer Literacy I

CLT1111

8 16

Elective

2


EGPH1M2

16


EIMT1M2

16

Extended General Chemistry IV

ECHE1M4

16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Foundation


CLT1212

8

Electives for level 1B, Semester 1 Semester


Code

1


STA11M1 16

1


APM11M1 16

4.3.18.10.1.2

Year level


Semester

1

Foundation 1 2

Foundation

2

Credits

1

Elective

Course/Module

Code

Credits

General Physics I

PHY11M1 16

Pre-calculus & Calculus I

MAT11M1 16

General Chemistry I

CHE11M1 16

Computer Literacy

CLT11M1 8


COK11M0 8

General Physics II

PHY12M2 16

Pre-calculus & Calculus II

MAT12M1 16


CHE12M1 16

Computer Literacy

CLT12M2 8

English for Academic purposes II

ELS1205

Mechanics and Waves

PHY21M1 16


MAT21M1 8


MAT22M1 8

Physical Chemistry II #

CHE21M5 16

8

16




2


PHY22M2 16

Real Analysis I

MAT21M2 8

Linear Algebra I

MAT22M2 8

Inorganic Chemistry II #

CHE22M3 16 16

Elective Electromagnetism and Quantum Mechanics

PHY31M1 24

Inorganic Chemistry III #

CHE31M3 16

1

3

32

Elective 2

Statistical mechanics and Solid State Physics

PHY32M2 24

Physical Chemistry III #

CHE32M5 16 16

Elective

Electives for level 2, Semesters 1 and 2 Semester

1

2


Code

Credits


STA11M1 16


APM11M1 16

Introduction to Info. Systems

CSI11M1

8

Problem solving

CSI11M2

8


CHE21M2 16


STA12M2 16


APM12M1 16

Introduction to Programming

CSI12M1

8

Computer Org. & Architecture

CSI12M2

8


CHE22M4 16



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Electives for level 3, Semesters 1 and 2 Semester

1

2


Code

Credits

Numerical analysis 201

APM21M1 16

Real analysis II

MAT31M1 16


CHE31M4 16

Probability distribution theory

STA21M1 16

Eigen value problems

APM22M1 16

Abstract Algebra

MAT32M1 16


CHE32M2 16

Statistical inference II

STA22M2 16

#CHE 21M5 or CHE22M3 may be replaced by CHE22M4 (Organic Chemistry) or CHE21M2 (Analytical Chemistry) #CHE31M3 or CHE32M5 may be replaced by CHE31M4 (Organic Chemistry) or CHE32M2 (Analytical Chemistry). In all cases modules can only be taken if the required prerequisites have been satisfied.

4.3.18.10.1.3

Year/Level

1

4.3.18.10.1.4

Year level


Semester

Course/Module

Code

Credits

1

Classical Mechanics

PHY4101

24

1

Mechanical Behavior of Materials

PHY4102

24

2

Advanced Electromagnetism

PHY4103

24

2

Quantum & Statistical Physics

PHY4104

24

1 to 2

Project

PHY4105

32

Code

Credits

PHY5004

180


Semester Course/Module Masters Thesis in Physics

1&2




Articulation

4.3.18.11.1

Bachelor of Science in Physics (with Chemistry or Mathematics)

Bachelor of Science Honours in Physics or related discipline 4.3.18.11.2


Master of Science in Physics or related discipline 4.3.18.11.3


PhD in Physics or related discipline 4.3.18.12

Module Descriptions

4.3.18.12.1

Undergraduate modules

EXGP1M1

EXTENDED GENERAL PHYSICS I

Code

Course

NQF Level Credits

Semester

EXGP1M1

See above

5

16

1

Lectures per Practicals per week week

Tutorials per week

Number Notional of hours weeks

4 x 50 min

1 x 50 min

15

1 x 150 min

160

Content or Syllabus: Science – a way of knowing; Measurements in Physics; Kinematics; Dynamics; Kinetic Theory, Properties of Matter & Modern Physics Assessment: Continuous Assessment mark (CA): To qualify for examinations, student must attain 40% continuous assessment mark (CA = 60% major tests + 30% practicals + 10% tutorials, other assessments & assignments). The contribution of CA to the overall Semester mark is 60%. Examination Mark (EA): Paper I Theory (60%) + Paper II Practical (40%). To qualify for overall assessment of semester mark, the student must obtain a minimum examination mark of 40%. The contribution of examination mark to semester mark is 40%. Overall Semester mark : 60% CA + 40% EA. To qualify for module credit (16), student must obtain a minimum of 50% semester mark.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Supplementary Examination : To qualify for this, a student must obtain an OM of 40% to 49% Entry Assumptions/Pre-requisites: NSC – qualified to progress to a degree course - achievement rating of 4 in the range 50 % to 54% or better in 4 recognised content 20 credit subjects including Mathematics & Physical science. Rating 4 in English & Life Skills. Matriculation: Senior Certificate with a minimum of E(HG)/D(SG) in Mathematics & Physical Science. D(SG) in English. Other requirements: Minimum achievement of 3 in SATAP tests in English, Mathematics & Science. Co-requisite : EMAT1M1

EXGP1M2

EXTENDED GENERAL PHYSICS II

Code

Course

NQF Level Credits

Semester

EXGP1M2

See above

5

16

2


Tutorials per week


4 x 50 min

1 x 50 min

15

1 x 150 min

160

Content or Syllabus: Thermodynamics; Magnetism, Static & Current Electricity; Electromagnetism; Wave theory, Longitudinal Sound waves; Electromagnetic waves, Light & Optics Assessment: Continuous Assessment mark (CA): To qualify for examinations, student must attain 40% continuous assessment mark (CA = 60% major tests + 30% practicals + 10% tutorials, other assessments & assignments). The contribution of CA mark to overall Semester mark is 60%. Examination Mark (EA): Paper I Theory (60%) + Paper II Practical (40%) . To qualify for overall assessment of semester mark, the student must obtain a minimum examination mark of 40%. The contribution of examination mark to semester mark is 40%. Overall Semester mark (OM): 60% CA + 40% EA. To qualify for module credit (16), student must obtain a minimum of 50% semester mark. Supplementary Examination: To qualify for this, a student must obtain a OM of 40% to 49%




Pre-requisites: NSC – qualified to progress to a degree course - achievement rating of 4 in the range 50 % to 54% or better in 4 recognised content 20 credit subjects including Mathematics & Physical science. Rating 4 in English & Life Skills. Matriculation: Senior Certificate with a minimum of E(HG)/D(SG) in Mathematics & Physical Science and D(SG) in English. Other requirements are SATAP tests in English Co-requisite : EMAT1M2

EGPY1M2

EXTENDED GENERAL PHYSICS III

Code

Course

NQF Level Credits

Semester

EGPY1M2

See above

5

16

1


Tutorials per week


4 x 50 min

1 x 50 min

15

1 x 150 min

160

Content or Syllabus: Vectors; Motion in 2 or 3 dimensions; Newton’s Laws; Circular Motion; Energy transfer; Linear Momentum & collisions; Static Equilibrium & elasticity; Temperature & heat; Kinetic theory of Gases; Heat engines, entropy & second law of thermodynamics Assessment: Continuous Assessment mark : To qualify for examinations, student must attain 40% continuous assessment mark ( CA = 60% major tests + 30% practicals + 10% tutorials, other assessments & assignments). The contribution of CA to the overall Semester mark is 60%. Examination Mark (EA): Paper I Theory (60%) + Paper II Practical (40%) . To qualify for overall assessment of semester mark, the student must obtain a minimum examination mark of 40%. The contribution of examination mark to the overall semester mark is 40%. Overall Semester mark (OM): 60% CA + 40% EA . To qualify for module credit (16), student must obtain a minimum of 50% semester mark. Supplementary Examination : To qualify for this, a student must obtain an OM of 40% to 49% Pre-requisites: A pass in EXGP1M1, EXGP1M2, EMAT1M1 & EMAT1M2



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Co-requisite: MAT1113 EGPH1M2

EXTENDED GENERAL PHYSICS IV

Code

Course

NQF Level Credits

Semester

EGPH1M2

See above

5

16

2


Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 50 min

15

160

1 x 150 min

Content or Syllabus: Wave motion; Sound waves; Superposition & standing waves; Electric fields; Gauss’s law; Electric potential; Capacitance & Dielectrics; Direct current circuits; Magnetism Assessment: Continuous Assessment mark CA): To qualify for examinations, student must attain 40% continuous assessment mark (CA =60% major tests + 30% practicals + 10% tutorials, other assessments & assignments). The contribution of CA to overall Semester mark is 60%. Examination Mark (EA): Paper I Theory (60%) + Paper II Practical (40%) = 100%. To qualify for overall assessment of semester mark, the student must obtain a minimum examination mark of 40%. The contribution of examination mark to the overall semester mark is 40%. Overall Semester mark (OM): 60% CA + 40% EA. To qualify for module credit (16), a student must obtain a minimum OMof 50% . Supplementary Examination: To qualify for this, a student must obtain an OM of 40% to 49% Pre-requisites: A pass in EXGP1M1, EXGP1M2, EMAT1M1 & EMAT1M2 Co-requisite: EIMT1M2

PHY11M1

GENERAL PHYSICS I

Code

Course

NQF Level Credits

Semester

PHY11M1

See above

5

16

1

Tutorials

Number Notional

Lectures per Practicals per week



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… week 4 x 50 min

1 x 180 min

per week

of weeks

hours

1 x 50 min

15

160

Content or Syllabus: Introduction to Mechanics: Rectilinear Motion; Vector Algebra and Calculus; Motion in two and Three Dimensions; Newton’s laws; Gravitational force and friction; Statics and Elasticity; Circular motion and other applications of Newton’s Laws; Work, energy and power; Potential energy and conservation of energy; Linear momentum and collisions; Rotation of a rigid object about a fixed axis; Rolling motion; angular momentum and torque; Oscillatory motion; Fluid mechanics. Heat and Thermodynamics: Temperature; Heat and the First Law of Thermodynamics; Kinetic Theory of Gases; Heat, Energy; Entropy and Second Law of Thermodynamics Assessment: Continuous Assessment Mark: To qualify for an end of semester examination, a candidate must attain at least a 40% continuous Assessment mark (CA = 60% Major Tests + 30% Practical Assessment + 10% from tutorials, minor tests and other Assignments). Examination Mark: End of Semester Examination: 100% (a candidate should obtain a minimum of 40%) Overall Semester Mark: Final Semester Mark: 0.6 Continuous Assessment Mark + 0.4 Examination Mark. Classification of Performance: Award of Module Credits: To qualify for the award of 16 credits, a candidate must obtain a minimum of 50% in the overall Semester Mark. Supplementary Examination: To qualify to sit for this, a candidate should have obtained a semester mark of 40% to 49%. Pre-requisites: To register for this course, a candidate should have passed NSC with a “B” designation or equivalent. In addition, a grade of at least 4 should have been obtained in Mathematics and Physical Science.

PHY12M2

GENERAL PHYSICS II

Code

Course

NQF Level Credits

Semester

B

See above

5

16

1


Tutorials per week


4 x 50 min

1 x 50 min

15

1 x 180 min

160



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Content or Syllabus: Mechanical Waves: Wave motion; Sound waves; Superposition and Standing waves Geometrical Optics: The nature of light and laws of Geometric Optics. Electromagnetism: Electrostatics; Electric Potential, Gauss’ s Law; Capacitance and Dielectrics, Current and Resistance, Direct Current Circuits; Magnetic Fields and Forces; Induced Fields and Forces. Assessment: Continuous Assessment Mark: To qualify for an end of semester examination, a candidate must attain at least a 40% continuous assessment mark (CA = 60% major tests + 30% practical assessment + 10% tutorials, minor tests and other assignments). Examination Mark: End of Semester Examination: 100% ( of which a candidate should obtain a minimum of 40%) Overall Semester Mark: Final Semester Mark: 0.6 Continuous Assessment Mark + 0.4 Examination Mark. Classification of Performance: Award of Module Credits: To qualify for the award of 16 credits, a candidate must obtain a minimum of 50% in the overall Semester Mark. Supplementary Examination: To qualify to sit for this, a candidate should have obtained a semester mark of 40% to 49%. Pre-requisites: To register for this course, a candidate should have passed NSC with a “B” designation or equivalent. In addition, a grade of at least 4 should have been obtained in Mathematics and Physical Science.

PHY21M1 MECHANICS & WAVES

Code

Course

NQF Level Credits

Semester

PHY21M1

See above

6

16

1

Lectures per week

Practicals per week

Tutorials per week

Number of weeks

Notional hours

4 x 50 min

1 x 180 min

2 x 40 min

15

160

Content or Syllabus: Vector fundamentals; Rectilinear motion of a particle; Position dependent forces; The Harmonic oscillator; The general motion of a particle in three dimensions; Central forces; Dynamics of systems of particles; Coupled oscillators; The wave equation. Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, lab reports, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2.



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Pre-requisites: PHY11M1 , PHY12M2, MAT11M1, MAT12M1 Co-requisites: MAT21M1, MAT22M1 PHY22M1 THERMODYNAMICS & MODERN PHYSICS

Code

Course

NQF Level Credits

Semester

PHY22M2

See above

6

16

2


Tutorials per week


4 x 50 min

2 x 40 min

15

1 x 180 min

160

Content or Syllabus: Thermodynamics Temperature, reversible processes and work, The First Law of thermodynamics, The Second Law of Thermodynamics, Entropy, The thermodynamic Potentials and the Maxwell relations, General thermodynamics relations, Change of phase, Open systems and the Chemical Potential, The third law of Thermodynamics. Modern Physics Atoms and Kinetic Theory (Atomic Theory of Matter, Kinetic Theory, Specific Heat of gases, The Maxwell Distribution of Velocities and Brownian Motion). Elementary Particles (Discovery of the electron, quantisation of electric charge, the photon, neutron, antiparticles and spin, discovery of X-rays). The Quantum Theory of Light ( Blackbody Radiation, The Rayleigh-Jeans Theory, Planck’s Theory of Radiation, Einstein’s transition Probabilities, Amplification through Stimulated emission, the Ruby and Neon Lasers). The Particle Nature of Photons (The Photoelectric Effect, The Compton Effect, The Dual Nature of Photons, the Wave Packet, The Uncertainty Principle). The Quantum Theory of Atom (Models of Thomson and Rutherford, Classical Scattering Cross-section, Bohr’s Theory of Atomic Spectra, The Franck-Hertz Experiment, X-ray Spectra and the Bohr Theory). Nuclear Physics (Binding Energy, Radioactivity, Nuclear Reactions, Nuclear fusion and fission). Nuclear Physics (Space-time and dynamics, relativity of mass, length contraction and time dilation). Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, lab reports, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: PHY11M1 , PHY12M2, MAT11M1, MAT12M1 Co-requisites: MAT21M1, MAT22M1



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… PHY31M1 ELECTROMAGNETISM & QUANTUM MECHANICS Code

Course

NQF Level Credits

Semester

PHY31M1

See above

7

24

1

Lectures per week

Laboratory sessions per week

Tutorials per week


4 x 50 min

2 x 180 min

2 x 50 min

15

240

Content or Syllabus: ELECTROMAGNETISM: Vector analysis: Gradient, divergence and curl, fundamental theorems of calculus, Laplacian, curvilinear coordinate systems: Cartesian, cylindrical and spherical, Coulomb’s law and electric scalar charges, electric fields and scalar potentials of distributed electric scalar charges: direct integration and Gauss’ law, Poisson’s and Laplace’s equations, equipotential surfaces, electric conductors, Biot-Savart law and magnetic sources, magnetic fields and vector potentials, magnetic forces, magnetic fields by direct integration and Ampere’s circuital law, Faraday’s law and induced emf , Electric and magnetic dipole moments and polarisations, linear isotropic and homogeneous media, electric and magnetic fields due to polarised media, hysteresis, Maxwell’s equations, boundary conditions QUANTUM MECHANICS: Statistical interpretation of the double-slit interference experiment; Derivation of the Schrödinger equation for a force-free region; Separation of the Schrödinger equation; Conditions of good behaviour for wave functions; Simple barrier problems; One dimensional potential well of infinite height; Two and three-dimensional problems, degeneracy; Parity; Graphical nature of wave functions; Operators in Quantum Mechanics; The harmonic oscillator; The hydrogen atom; Heisenberg Uncertainty Principle. Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, lab reports, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2 Co-requisites: None

PHY32M2 STATISTICAL MECHANICS & SOLID STATE PHYSICS Code

Course

NQF Level Credits

Semester

PHY32M2

See above

7

2

24




Lectures per Laboratory sessions per week week

Tutorials per week


4 x 50 min

2 x 50 min

15

2 x 180 min

240

Content or Syllabus: STATISTICAL MECHANICS: Statistical equilibrium; The Maxwell-Boltzmann distribution law; Thermal equilibrium; Application to Ideal gas; Entropy and heat in terms of statistical probability; Heat capacity of ideal monatomic and an ideal polyatomic gas; The principle of equipartition of energy; The Einstein Solid; Fermi-Dirac distribution law; The electron gas; Application of Fermi-Dirac statistics to electrons in metals; Bose-Einstein distribution law; The photon gas; Heat capacities of vibrating molecules and of solid bodies. SOLID STATE PHYSICS: Crystals: binding, structure, defects and growing techniques. Lattices dynamics: quantised vibrations, phonons and density of states, specific heat capacity and Debye law. Free electron theory of metals: density of states, specific heat capacity, electrical conductivity and Hall effect, Pauli paramagnetism, thermionic emission. Comparison of metals, insulators, semimetals and semiconductors, band structure. Magnetic properties of materials: types of magnetism, susceptibility and permeability. Dielectrics: polarisation, temperature and frequency dependence of permittivity, ferroelectric and piezoelectric materials. Semiconductors: holes and conduction electrons, intrinsic and extrinsic semiconductors, donors and acceptors, temperature dependency of electrical conductivity Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, seminar presentations, lab reports, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2 Co-requisites: None

4.3.18.18.2.2

Postgraduate Modules

Admission to the BSc Honours studies in Physics is not automatic. Normally, on completion of the BSc degree, a candidate must have scored an average mark of at least 60 % at third-year level in order to qualify for Honours. A candidate who does not meet the above requirements may be admitted based on a successful interview conducted by the Department. Module Descriptions PHY4101

CLASSICAL MECHANICS

Code

Course

NQF Level Credits

Semester

PHY4101

See above

8

1

24



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Lectures per Tutorials per week week


6 x 50 min

15

2 x 50 min

240

Content or Syllabus: Coordinate transformations and fundamental principles; two-body problem. Calculus of variations; Lagrangian mechanics with applications; Hamiltonian mechanics with applications; Motion under central forces; Motion in rotating frames. Assessment: Modules mark (M) will be obtained from continuous assessment based on tutorials and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: B Sc (Physics) Co-requisites: None

PHY4102

MECHANICAL BEHAVIOUS OF MATERIALS

Code

Course

NQF Level Credits

Semester

PHY4102

See above

8

1

24

Lectures per Tutorials per week week


4 x 50 min

15

2 x 50 min

240

Content or Syllabus: Stress, strain and elasticity theory; Theoretical cleavage strength of materials; Theoretical shear Strength of materials; Cracks in brittle solids; Dislocations; Glasses; Ceramics; Polymers; Metals. Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: B Sc (Physics) Co-requisites: None

PHY4203

ADVANCED ELECTROMAGNETISM

Code

Course

NQF Level Credits

Semester

PHY4203

See above

8

2

24



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… Lectures per week

Tutorials per week


6 x 50 min

2 x 50 min

15

240

Content or Syllabus: Maxwell’ equations in various forms, theoretical basis and derivations; Plane electromagnetic waves in various media and at interfaces; Electromagnetism and relativity; Wave guides – Planar, rectangular and optical wave guides; Electromagnetism in covariant relativistic formulation; Electromagnetic radiation including the potentials and radiating dipoles. Assessment: Modules mark (M) will be obtained from continuous assessment based on tutorials and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: B Sc (Physics) Co-requisites: None

PHY4204

QUANTUM & STATISTICAL PHYSICS

Code

Course

NQF Level Credits

Semester

PHY4204

See above

8

2

24

Lectures per Tutorials per week week


4 x 50 min

15

2 x 50 min

240

Content or Syllabus: The Second Law of Thermodynamics; The Perfect Quantal Gas; Blackbody Radiation; Systems with Variable Particle Numbers; The Formalism of Quantum Mechanics; Quantum Mechanics in Three Dimensions. Assessment: Modules mark (M) will be obtained from continuous assessment based on quizzes, tutorials, and tests. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: B Sc (Physics) Co-requisites: None



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… PHY4205 PROJECT Code

Course

NQF Level Credits

Semesters

PHY4205

See above

8

1&2

Contact time per week

Seminars

Number Notional of hrs weeks

4 hours

3 for the year

24

32

320

Content or Syllabus: This module involves project work culminating in a dissertation. Assessment: Modules mark (M) will be obtained from continuous assessment based on seminars. The final mark will be obtained from the Module mark (M) and Summative Assessment (E) based on a dissertation in the ratio 1:3. Pre-requisites: BSc (Physics) Co-requisites: None

4.2.11.2.2

MSc (Physics)

Prospective candidates must be in possession of a BSc Honours degree in Physics or related discipline. The course is based on research, ending with a dissertation on a prior approved topic. SERVICE COURSES IN PHYSICS The two modules that follow, PHY1103 and PHY1204, constitute a non-calculus course aimed at candidates majoring in the Biological Sciences and others who do not intend to take Physics beyond year 1.

PHY 1103 PHYSICS FOR LIFE SCIENCES I Code

Course

PHY1103

See above

NQF Level Credits

Semester 1


Tutorials per week


4 x 50 min

1 x 50 min

15

1 x 180 min

160

Content or Syllabus: Motion in a straight line; Motion in two dimensions; Newton’s laws of motion; Statics and rotational dynamics; Work power and energy; Momentum; Solids and



MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2015 ………………………………………………………………………………………………………………………………………………………………… fluids. Assessment: Semester mark will be obtained from continuous assessments of theory and practical. The final mark will be obtained from the Semester mark and examination mark in the ratio 3:2.

Pre-requisites: Grade 12 Mathematics D (E) in Standard (Higher) or MASP100

PHY1204

PHYSICS FOR LIFE SCIENCES II

Code

Course

NQF Level Credits

Semester

PHY1204

See above

Lectures per week

Practicals per week

Tutorials per week


4 x 50 min

1 x 180 min

1 x 50 min

15

1

160

Content or Syllabus: Temperature and heat; Waves and sound; Electrostatics; Electric current and resistances; Electromagnetism; Electromagnetic waves and optics; Modern Physics. Assessment: Semester mark will be obtained from continuous assessments of theory and practical. The final mark will be obtained from the Semester mark and examination mark in the ratio 3:2. Pre-requisites: Grade 12 Mathematics D (E) in Standard (Higher) or MASP100

2

Introduction to Environmental Survey Techniques.

GEO1201 16

Students are required to take all core courses, specified foundation courses and enough elective courses giving them a total of between 120 and 128 credits in each year level.



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