Faculty of Natural Sciences 2016 - Walter Sisulu University · The Faculty of Natural Sciences comprises the Department of Biological and Environmental Sciences, ... while the Eastern

WALTER SISULU UNIVERSITY

Faculty of Natural Sciences

MTHATHA CAMPUS PROSPECTUS 2016

www.wsu.ac.za

2016

WALTER SISULU UNIVERSITY

FACULTY OF NATURAL SCIENCES

MTHATHA CAMPUS

Prospectus 2016

Faculty of Natural Sciences

MTHATHA CAMPUS FACULTY OF NATURAL SCIENCES PROSPECTUS 2016

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Faculty overview l page i

Walter Sisulu University - Make your dreams come true

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 the General 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 2016 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.


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In this Prospectus:

How to use this Prospectus Page i

1. Introduction & Welcome by the Dean of the Faculty

Page 1

2. Faculty Vision & Mission

Page 3

3. Staff

Page 6

4. Departments & Programmes

Page 13

4.1. Department of Biological & Environmental Sciences

Page 13

4.2. Department of Mathematical Sciences & Computing

Page 82

4.3. Department of Chemical & Physical Sciences

Page 188


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Faculty overview l page 1


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 self-reliant. 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, Mathematical Sciences and Computing and Chemical and Physical Sciences. 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 Faculty of Natural Sciences

Head of Department Biological & Environmental Sciences

Head of Department Mathematical Sciences & Computing

Head of Department Chemical & Physical Sciences

Prof N D Jumbam Ms VN Majiza Prof W Sinkala Prof S Chikwembani

047 502 2186 047 502 2380 047 502 2413 047 502 2919

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.


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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 (HoDs). 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. FACULTY VISION AND MISSION 2.1 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.


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2.3 Programmes Offered In the Faculty

Department Programmes Duration (Full-time)-Years

Duration (Part-time) - Years

Biological & Environmental Sciences

Diploma in Pest Management 3 N/A

Bachelor of Science (Biological Sciences):Extended 4 N/A

Bachelor of Science (Environmental Sciences):Extended 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

PhD Natural Sciences 4 N/A

Mathematical Sciences & Computing

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 (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


Chemical & Physical

Bachelor of Science in Chemistry: Extended 4 N/A

Bachelor of Science Extended (Physics with Chemistry ) 4 N/A


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Sciences 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


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. This rule becomes effective from the date the student gets registered. Upon late registration, a student may be allowed to attend classes provided they have missed less than 20% of the total tuition of that particular module/course. 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 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 48% subject to a minimum mark of 40% for both continuous assessment and final examination qualifies for a supplementary examination. 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 or 480 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


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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 whose 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 student fails in his/her first year, 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. 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 re-admission 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.


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3. STAFF 3.1 Faculty Administrative Staff Dean: Prof ND Jumbam, MSc (THL-Merseburg), PhD (TU-Graz), CChem,MRSC. Faculty Administrator: Faculty Secretary: Mrs A Jafta 3.2 Faculty Academic Staff 3.2.1 Department of Biological and Environmental Sciences

3.2.1.1 Academic Staff

Professor Dr BN Nkeh-Chungag, BSc, MSc (Yaounde), PhD (Wits) Senior Lecturer Dr GE Okuthe, BSc, MSc (Astrakhan), MSc (Guelph), PhD (Wits) Senior Lecturer Dr NJ Ntoni, BSc Hons, HDE, (UFH), MSc, PhD (JSU) Senior Lecturer Dr AS Niba, BSc Hons (Calabar), MSc (Ibadan), MSc (Natal), PhD (UKZN) Senior Lecturer Dr CM Musampa, MSc Econ, PhD (London) Senior Lecturer Dr JM Kalule-Sabiti, BSc, MSc (Makerere), PhD (Durham) Lecturer Dr IM Egbichi, BSc Hons, MSc, PhD (Stellenbosch) Lecturer Dr S Kuria, BSc Hons, MSc (Nairobi, Kenya), PhD (Rhodes) Lecturer Dr MDV Nakin, BSc Hons, HDE, MSc (Unitra), PhD (Rhodes) Lecturer Dr FK Kuriah, BSc (Jabalpur), MSc (Mohanial), PhD (Fort Hare) Lecturer Dr TS Dlaza, BSc, BSc Hons, MSc (UWC), PhD (UCT) Lecturer Dr M Mathew, B.Sc, MSc (Kerala, India), BEd (Bombay, India), PhD(MG University Lecturer Ms VN Majiza, BSc Hons, HDE, MSc (Unitra) Lecturer Mr RG Kwaye MSc ( UNN) Lecturer Mr SG Cawe, BSc (UBS), PostgradDip Rural Survey (ITC,Netherlands), MSc (Unitra) Lecturer Ms N Gxaba, BSc (Unitra), BSc Hons, MSc (UWC) Lecturer Mrs B Thomas, BSc Hons (WSU), MSc (Kerala, India) Lecturer Mr MK Soviti, BA Hons (Vista), MSc (Rhodes) Lecturer Mrs A Abraham, BA (Kerala), BA Hons, MSca), HDE (Unitra) Lecturer Mrs T Thomas, MSc (Kerala) Lecturer Mr A Bango, BA Ed, BSc Hons (Unitra),MSc EM (UFS) Lecturer Ms Z Magayiyana, BSCEN, BSG (Hons), MSc (WSU) Lecturer Mrs S Thomas, BA Hons, BEd, MA (NEHU, India) Lecturer Ms CKE Betek, BSc (UYDEI), BSc Hons, MSc (WSU) Junior Lecturer Ms D Mnengi, BSc Hons, MSc (WSU)

3.2.1.2 Administrative and Academic Support Staff

Head of Department Ms VN Majiza, BSc Hons, HDE, MSc (Unitra)

Senior Lab. Assistant Ms N Matiloshe, BSc Hons (Fort Hare), MSc (Rhodes) Senior Lab. Assistant Ms N Gwadiso, BSc Hons (Unitra) Senior Lab. Assistant Mr ABC Ntshanga, BA Ed, BA Hons (Unitra) Senior Lab. Assistant Mr A Mngeni, BScEN, BSG (Hons), MSc (WSU) Lab Assistant Mr S Mjobo BSc Hons (WSU) Lab Assistant Ms N Nombekela, BSc, BBibl Hons (Unitra)


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Lab Assistant Ms J Phokwe, BSc Hons (Medunsa) Lab Assistant Ms SK Ntongana, BSc (Unitra), BSc Hons (UFH) Lab Assistant Mr WD Dzemo, BSc, BSc Hons, MSc (Dschang), MSc (WSU) Lab Assistant Ms BN Mbolekwa, BSc, BSc Hons, MSc (WSU) Lab Assistant Ms Y Ndamane, BSc, BSc Hons, MSc (WSU) Lab Assistant Ms A Mbuyiswa, BSc Hons (WSU) Lab Assistant Mr RN Mangaliso, BScEN, BSG(Hons)(WSU) Lab Technician Mr D Wopula, BSc, BSc Hons (Unitra), MEd (WSU) Herbarium Curator Dr K Immelman, MSc (UCT), PhD (Natal) Museum Curator Mr HD Kali, BSc Hons (Unitra), B.Ed (Unisa), MSc (Wits) Research Associate Mr EE Plumstead MSc (Unitra) Senior Lab. Attendant Mr M Nkaitshana Laboratory Attendant Ms ZV Abenta Laboratory Attendant Ms D Funo Laboratory Attendant Ms L Moshoeshoe Laboratory Attendant Mrs PN Nomqolo 3.2.2 Department of Mathematical Sciences and Computing


Associate Professor Prof KW Binyavanga BSc.Hons, MA (Dar es Salaam), PhD (Stellenbosch) Associate Professor Prof W Sinkala BSc (UNZA), MSc (UZ), PhD (UKZN Senior Lecturer Dr RM Panicker BSc, B.Ed., MSc(M.G. Univ. Kerala). PhD (Rhodes) Senior Lecturer Dr WH Moolman B.Com (Stellenbosch), B.Com(Hons) (Stellenbosch),

M.Com (Natal), D.Com (UDW), Diploma in Datametrics (Unisa)

Senior Lecturer Dr M Chaisi BSc (NUL), MSc (Wales), PhD (UKZN) Lecturer Mr C Kabuya BSc (Hons) (UNZA), MSc (UZ), OCP Java SE 7 Lecturer Mr S Nyika BSc (Hons) (Cuba), MSc (NUST, Zimbabwe) Lecturer Mr L Tinarwo BSc, BSc (Hons), MSc (Fort Hare) Lecturer Mr A Otieno BSc, MSc(WSU) Lecturer Mr JS Nasila BSc (Madras), Post Bacc. Diploma (SFU), MSc (Simon

Fraser) Jnr Lecturer Mr L Majeke BSc, BSc(Hons) (Unitra), MSc (UFH) Jnr Lecturer/Temp Mr CE Pokoo-Sonny BA (Ghana), P.G.D.E (Cape Coast), BSc (Hons) (WSU),

MSc (Rhodes) Jnr Lecturer/Part-time Ms NN Matu BSc, BSc (Hons) (UFH) Jnr Lecturer/Part- time Mrs N Thomas BSc, BSc, Hons (Unitra) Junior Lecturer Mr B Mathew BSc (Hons) BSc (Hons) Junior Lecturer Ms NG Fumba Bcom General, Bcom Hons (Business

Management) (WSU), ICDL (UFH) Junior Lecturer Ms N Nokwali BA ED (Unitra), ICDL (UFH), A+ (Mkhombe

Business Solutions) Junior Lecturer Ms NG Benxa Bcom Accounting (WSU), ICDL (UFH) Junior Lecturer Ms N Mtengwane B-Juris, LLB, Pastel Accounting, A+

(Unitra), ICDL (UFH) Lecturer Part- time Mr T F Nkalashe BSc, BSc (Hons)(Unitra) , MSc(WSU) Lab Assistant Mrs N Zilwa BSc , BSc (Hons) (WSU)


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Head of Department: Dr W Sinkala BSc (UNZA), MSc (UZ), PhD (UKZN)

Secretary: Mrs V Ndamase - Nee Maliwa

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

3.2.3 Department of Chemical and Physical Sciences


Professor Prof ND Jumbam, MSc (THL-Merseburg), PhD (TU-Graz), CChem,MRSC Professor Prof BS Nakani, MSc (Fort Hare), PhD (Wits) Professor Prof A Oyedeji, BSc Hons, MSc (Uniport), PhD (Ibadan) Associate Professor Prof S Chikwembani, BSc (Malawi), MSc (Bristol, UK), PhD (Northwestern, USA) Senior Lecturer Dr JA Marks, BSc Hons (Wales), PhD (Sheffield) Senior Lecturer Dr W Masamba, BSc Hons, PhD (Louvain), CChem, MRSC Senior Lecturer Dr TE Nomkoko, MSc (Unitra), PhD (UCT) Senior Lecturer Dr PF Tseki, BSc (NUL), BSc Hons (SFU), MSc (Manitoba), PhD(Nottingham) Senior Lecturer Dr M Chirwa, BSc (UNZA), PG Dip ISP (Uppsala, Sweden), MSc (UNZA), PhD (Twente,

Netherlands), Cert ICRIM (ICS & ICTP, Italy) Lecturer Mr T Ngarivhume, BSc (Jose Verona), MSc (Havana) Lecturer Mrs M Mathews, BSc, MSc & BEd (Kerala, India), MEd (Unitra) Junior Lecturer Mr T Dyeyi, BSc Hons (Bethel College, Kansas, USA) Junior Lecturer Mr JK Okyere-Bamfo, BSc Hons (Kumasi, Ghana) Junior Lecturer Mr B Mapuranga, BSc & BEd (Filial, Cuba), BSc Hons (Fort Hare)


Head of Department Dr S Chikwembani, BSc (Malawi), MSc (Bristol, UK), PhD (Northwestern, USA) Laboratory Tech (NMR) Mr B Mzimkulu, Bsc Hons Chemistry Laboratory Assistant Mr M Ndungane, BSc (Fort Hare), BCompt (Unitra) Laboratory Assistant Mr TF Nkalashe, BSc Hons (Unitra), MSc (WSU) Senior Lab. Attendant Mrs PP Mtukwane, B Com(Ed) (Unitra) Senior Lab Attendant Mrs G Mpina


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3.2.4 Faculty Committee Structure

COMMITTEE Department of Biological and Environmental Sciences

Department of Chemical and Physical Sciences

Department of Mathematical Sciences and Computing

Community and International Partnerships

Mr HD Kali ([email protected]) 047 502 2378 Ms S Thomas ([email protected]) 047 507 2059 Ms OJ Phokwe ([email protected]) 047 507 2938 Mrs A Abraham ([email protected]) 047 502 2524

Dr P Tseki ([email protected]) 047 502 2602 Dr J Marks ([email protected]) 047 502 2405

Mr P Sonny ([email protected]) 047 502 2529 Mr S Matyila ([email protected]) 047 502 2110

Research & Higher Degrees

Dr A Niba ([email protected]) 047 502 2894 Dr C Musampa ([email protected]) 047 502 2520 Dr T Dlaza ([email protected]) 047 502 2600 Dr I Egbichi ([email protected]) 047 502 2277

Dr W Masamba ([email protected]) 047502 2487

Mr C Kabuya ([email protected]) 047 502 2762 Mr L Tinarwo ([email protected]) 047 502 2762

Teaching and Learning

Ms Z Magayiyana ([email protected]) 047 502 1964 Mr R Kwaye ([email protected]) 047 502 2237 Ms D Mnengi ([email protected]) (047 502

Mr T Ngarivhume ([email protected]) 047 502 2617 Mrs M Mathews [email protected] 047 502 2885

Mrs L Abrahams ([email protected]) 047 502 2943 Dr M Chaisi ([email protected]) 047 502 2270 Mr B Mathew ([email protected]) 047 502 2622

Quality Assurance

Prof B Nkeh-Chungag ([email protected]) 047 502 1989 Dr N Ntoni ([email protected]) 047 502 2311 Mr ABC Ntshanga ([email protected]) 047 502 2526 Ms Afika- amazizi Mbuyiswa ([email protected]) 047502 2127

Dr M Chirwa Mr Bamfo ([email protected]) 047 502 2651 Prof A Oyedeji ([email protected]) 047 502 1951

Dr RM Panicker ([email protected]) 047 502 2230 Mr A Otieno ([email protected]) 047 502 2271

mailto:[email protected]





























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Department of Biological & Environmental Sciences l page 13


4. DEPARTMENTS AND PROGRAMMES

4.1 DEPARTMENT OF BIOLOGICAL AND ENVIRONMENTAL SCIENCES

4.1.1 Information about the Department

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 for 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.


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4.1.3 Goals of the Department The Department aims to:

• 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.

4.1.4 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. 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.


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4.1.7.3 Diploma in Pest Management

Students with a basic background in the biological, physical and environmental sciences are trained to identify, combat and contain pest problems within natural and agro-allied systems in an ecological friendly manner. Bachelor of Science (Pest Management) A Bachelor of Science (BSc) degree in Pest Management Program will draw upon courses in Chemistry and physics to provide the foundation for further study at graduate level in Biology, Zoology, Integrated Pest Management (IPM) and/or crop/livestock protection/improvement.

4.1.7.4 Bachelor of Science Honours (Botany)

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.

4.1.7.5 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.

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.


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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). 4.1.10 Exit Level Outcomes of the Programme

4.1.10.1 Bachelor of Science (Biological Sciences)

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 stakeholders 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 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.


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 translate it 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.

4.1.10.6 PhD in Natural Sciences This is a research based programme. Students will be expected to work independently (through the guidance of a research promoter) in evaluating and analysing biological and environmental challenges and the outcome culminates in a research thesis. 4.1.11 Programme Information

4.1.11.1 Minimum Admission Requirements

4.1.11.1.1 Bachelor of Science (Biological Sciences)

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. BSc (3 year 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, 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. 4.1.11.1.2 Bachelor of Science (Environmental Studies) BSc (4 year Extended 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. BSc (3 year programme) 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. 4.1.11.1.3 Bachelor of Science (Pest Management) Senior Certificate with Matric exemption. SG (D) or HG (E) in Mathematics, Physical Science, Life Sciences and English. 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. 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. Diploma in Pest Management Using the new Senior Certificate for admission into the three-year (360 credit) Diploma in Pest Management, certificate should indicate ‘qualified for Diploma’ and include English (3), Life science (4), Mathematics (3) and Physical science (3).


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



4.1.11.1.4 Bachelor of Science Honours

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. 4.1.11.1.6 Doctor of Philosophy An MSc is a prerequisite for admission to the programme.

4.1.12 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) or National Benchmarking Test must be completed and successful students may be considered for the Extended or three year Bachelor of Science degree in Biological, Environmental Sciences or Pest Management. Prospective students can also apply for mature age exemption if they are over the age of 23. 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. 4.1.13 General Programme Rules

4.1.13.1 Bachelor of Science (Biological, Environmental Sciences & Pest Management)

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. This 80% attendance rule becomes effective from the date the student gets registered. Upon late registration, a student may be allowed to attend classes provided they have missed less than 20% of the total tuition of that particular module/course.


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



Graduates with a Diploma in Pest Management will be eligible for admission into year II of the BSc programme in Pest Management provided these graduates have a cummulative mark of 60% and above at the end of the course.


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.


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 it 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. 4.1.13.4 Doctor of Philosophy 4.1.14 Progression Rules To progress from year to year the student must fulfill the requirements of the curriculum. If a student has successfully completed 75% 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. Students must complete a minimum of three year (360 credits) for a Diploma programme in Pest Management. All the foundation and core modules for this qualification must be passed to be eligible for graduation.


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


Two external examiners and one internal examiner assess the dissertation.


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



4.1.15.3 Doctor of Philosophy A thesis shall be axamined by one internal examiner and three external examiners approved by Senate. The internal examiner may be the same peron as the supervisor. The thesis must satify at least two eternal eaminers in order to qualify for a pass. 4.1.16 Curriculum

4.1.16.1 Bachelor of Science (Biological Sciences) Extended Programme

The first 2 years of extended BSc Biological Sciences (4 years) = BSP I

Year level

Semester Module Name Module Code Credits

1 1 Extended Cell Biology, Genetics I* EBSP1M1 16 Extended General Chemistry I ECHE1M1 16

Foundation Academic Literacy I EACL1M1 8 2 Extended Cell Biology, Genetics II* EBSP1M2 16

Extended Organic & Physical Chemistry II EOPC1M2 16 Foundation Life Skills ELSK1M0 8

Academic Literacy II EACL1M2 8

Total core credits 88

Electives required 32

Total Credits

120

2 1 Extended Plant Form & Function* EPFU1M1 8

Extended Animal Form & Function* EAFF1M1 8

Extended General Chemistry II

EGCH1M1 16

Foundation Computer Literacy I ECLT1M1 8

2 Extended Plant Diversity* EPDI1M2 8

Extended Animal diversity* EADI1M1 8

Extended Organic & Physical Chemistry II EOPC1M2 16


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



Foundation Computer Literacy II ECLT1M2 8



Total Credits 120 * Core syllabi are the same as those of the BSc programme. Electives

Year level Semester Module Name Module Code Credits 1

1 Integrated Mathematics I EMAT1M1 16 2 Integrated Mathematics II EMAT1M2 16

2

1

Physics for Life Sciences I PHY11M3 16 Integrated Mathematics III EIMT1M1 16

2

Physics for Life Sciences II PHY12M4 16 Integrated Mathematics IV EIMT1M2 16

4.1.16.2 BSc Biological Sciences Programme

Year Level


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

Foundation English for Academic purposes ELS12M5 8


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




Electives 32

Total credits

128

2 1 Ecology BSP21M2 16 Higher Plant Systematics BSP21M3 16 Applied Statistics APS11M1 16

2 Biochemistry BSP22M4 16 Invertebrates Form & Function BSP22M5 16 Mycology & Microbiology BSP22M6 16 Applied Statistics APS12M1 16


Electives 8

Total credits

120

3 1 Vertebrate Form & Function BSP31M1 16 Plant Physiology BSP31M2 16 Plant Pathology BSP31M3 16

2 Animal Behaviour & Physiology BSP32M5 16 Conservation Biology BSP32M6 16 Economic Biology BSP32M7 16

Total core credits 96 Electives 32 Total credits 128


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Electives

Year Level


1 1 Physics for Life Sciences I OR PHY11M3 16 Pre-Calculus and Calculus I MAT11M1 16

2 Physics for Life Sciences II OR PHY12M4 16 Pre-Calculus and Calculus II MAT12M1 16

2 1 Understanding Human Behaviour PSY11M1 8 2 Determinants of Human Behaviour PSY12M3 8

3 1

Introduction to the Physical Environment or Introduction to Environmental Survey Techniques

GEO11M2 or GEO11M1

16

2 Introduction to Environmental Survey Techniques.

GEO12M1 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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4.1.16.3 First 2 Years of BSc Environmental Studies Extended Programme1 (MT5601)

Year Level

Semester Module type

Module Name Module Code Credits

1

1

Foundation Academic literacy I EACL11M1 8 Life Skills ELSK10M2 8

Core Fundamentals of Environmental Survey Techniques

EGEO11M1 16

Elective Choose from semester 1 modules below 32

2

Foundation Academic literacy II EACL12M2 8

Core Fundamentals of Physical Environment

EGEO12M2 16

Elective Choose from Semester 2 modules below 32

2

1

Foundation Computer Literacy I ECLT11M1 8 Core Fundamentals of Environmental

Survey Techniques EGEO11M3 16


2

Foundation Computer Literacy II ECLT12M2 8

Core Fundamentals of Human Environment

EGEO12M4 16

Elective Choose from Semester 2 modules below 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 Name Module Code Credits

1

1 Extended General Chemistry I ECHE11M1 16 Extended Cell Biology Genetics I EBSP11M1 16

Extended Organic and Physical Chemistry I

ECHE12M2 16

2 Extended Cell Biology Genetics II EBSP12M2 16 2 1 Applied Statistics APS11M1 16

2

1

Extended Plant Form and Function EBSP11M3 8 Extended Animal Form and Function EBSP11M5 8 Introduction to Microeconomics ECO11M1 16 Physics for Life Sciences I PHY11M3 16 Insect Structure and Function PMP11M1 16

Insects and Man PMP11M2 16

Extended General Chemistry II ECHE11M3 16

2

Extended Cell Biology Genetics II EBSP12M4 16 Extended Organic and Physical Chemistry II

ECHE12M4 16

Extended Animal Diversity EBSP12M6 8 Introduction to Macroeconomics ECO12M2 16 Physics for Life Sciences II PHY12M4 16

Insects and Environment PMP12M1 16

Applied Statistics APS12M1 16


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Pre-requisites & co-requisites

Courses/Modules Pre-requisites Co-requisites Code Description Code

Code

EGEO11M1 Fundamentals of Environmental Techniques

EGEO12M2

EGEO12M2 Fundamentals of Physical Environment EGEO11M1

EGEO11M3 Fundamentals of Environmental Survey Techniques

EGEO12M2 EGEO12M4

EGEO12M4 Fundamentals to Human Environment EGEO11M1 and EGEO12M2 GEO11M1 Introduction to Environmental Survey

Techniques GEO12M1

GEO11M2 Introduction to Physical Environment GEO12M1 Introduction to Environmental Survey

Techniques GEO11M1

GEO12M3 Introduction to Human Environment GEO21M1 Environmental Survey Techniques GEO11M1/

EGEO11M1 & GEO12M1/ EGEO11M3

GEO22M1

GEO21M2 Atmosphere and Terrain Analysis GEO11M2/ EGEO12M2

GEO22M1 Environmental Survey Techniques GEO11M1/ EGEO11M1 and GEO12M1/ EGEO11M3

GEO21M1

GEO22M3 Environment and Development GEO12M3 EGEO12M4

GEO22M4 Soil Science GEO11M2 EGEO12M2

GEO31M1 Geographical Information Systems GEO21M1 and GEO22M1 GEO32M1


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



Courses/Modules Pre-requisites Co-requisites

GEO31M2 Terrestrial Resources Management GEO21M2

GEO31M3 Tourism and Ecotourism GEO22M3

GEO31M6 Research Methodology GEO21M1 and GEO22M1

GEO32M1 Geographical Information Systems GEO21M1 and GEO22M1

GEO31M1

GEO32M4 Rural Resources Management GEO22M3

GEO32M5 Environmental Impact Assessment GEO22M3


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4.1.16.4 3-Year BSc Environmental Studies (MT5601)

Year level

Semester Module type Module name Module Code Credits

1 1 Foundation Computer literacy CLT11M1 8 Communication Skills EDU10M1 8

Core Introduction to Environmental Survey Techniques

GEO11M1 16

Introduction to Physical Environment

GEO11M2 16

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

16

2 Foundation Computer Literacy CLT12M1 8 Core Introduction to Environmental

Survey Techniques GEO12M1 16

Introduction to Human Environment

GEO12M3 16


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

2

1

Core Environmental Survey Techniques GEO21M1 16 Atmosphere and Terrain Analysis GEO21M2 16

Elective Choose from the semester 1 electives below 16 or 32

2

Core Environmental Survey Techniques GEO22M1 16 Environment and Development GEO22M3 16 Soil Science GEO22M4 16

Elective Choose from Semester 2 electives below 16- or 32

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


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Year level

Semester Module type Module name Module Code Credits

3

1

Core Courses Geographic Information Systems GEO31M1 16 Terrestrial Resources Management GEO31M2 16 Tourism and Eco-Tourism GEO31M3 16 Research Methodology GEO31M6 16

Elective

Choose any from the list below

2

Core Geographic Information Systems GEO32M1 16 Rural Resource Management GEO32M4 16 Environmental Impact Analysis GEO32M5 16

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


1

1

General Chemistry CHE11M1 16 Applied Statistics APS11M1 16 Plant Form and Function BSP11M1 8 Animal Form and Function BSP11M2 8 Animal Diversity BSP11M5 8 Physics for Life Sciences I PHY11M3 16

Insect Structure and Function PMP11M1 16


2

General Chemistry CHE12M1 16 Applied Statistics APS12M1 16 Cell Biology, Genetics & Development BSP12M2 16 Plant Diversity BSP12M4 8

2 1 Physics for Life Sciences II PHY12M4 16


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



Year level


Pesticides and Applications PMP21M2 16 Introduction to Microeconomics ECO11M1 16 Ecology BSP21M2 16

Higher Plant Systematics BSP21M3 16

2 Invertebrate Form and Function BSP22M5 16

Insects and Environment PMP12M1 16 Introduction to Macroeconomics ECO12M2 16 Environmental Law ENL42M2 8

3

1 Microeconomics ECO21M2 8 Mathematical Economics ECO21M3 8

2

Conservation Biology BSP32M6 16 Economic Biology BSP32M7 16 Integrated Pest Management PMP32M3 16 Macroeconomics ECO22M3 8 Development Economics ECO22M4 8 Environmental Economics ECO22M3 8

4.1.16.5 Bachelor of Science Pest Management Programme (PMP)

Year 1 Degree (BSc PMP) Year Level Semester Module Name Module Code Credits 1

1

Insect Structure and Function EISF1M1 16 Insects and Man PMP11M2 16 General Chemistry I CHE11M1 16 Plant Form & Function BSP11M1 8

Foundation Computer Skills

English for Academic Purposes

CLT11M1

ELS11M5

8

8

2 Communication skills


COK11M0

ELS12M5

8

8

Plant Diversity BSP12M4 8 Insects & Environment PMP12M1 16


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General Chemistry II

CHE12M1

16

Total 128

Year 2 Degree (BSc PMP)

Year level Semester Module name Module Code Credits

2

1

Biochemistry BSP22M4 16 Pesticides & Applications PMP21M2 16 Crop Pests of South Africa PMP24M1 16 Applied Statistics APS11M1 16

2

Mycology & Microbiology BSP22M6 16 Introduction to Parasitology PMP22M2 16 Post Harvest Technology PMP23M2 16 Applied Statistics APS12M1 16

Total 128

Year 3 BSc Pest Management

Year level Semester Module Name Module Code Credits 3 1 Helminthology HMT31M2 16*

Plant Physiology BSP31M2 16

Plant Pathology BSP31M3 16

2 Animal Behaviour & Physiology BSP32M5 16

Conservation Biology BSP32M6 16

Insect Taxonomy PMP32M2 16

Integrated Pest Management PMP32M3 16

Electives

Economic Biology Introduction to Physical environment

BSP32M7 GEO11M2

16 16


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



Core 96

Electives 32

Total 128 3 Year Diploma in Pest Management (DPPMP) Year Level


1

1

Insect Structure and Function PMP11M1 16


Extended General Chemistry I ECHE1M1 16

Plant Form & Function BSP11M1 8

Foundation Computer Skills


CLT11M1

ELS11M5

8

8

Plant Diversity

Communication skills

BSP12M4

COK11M0

8

8

2 English for Academic Purposes

ELS12M5 8

Elective Cell Biology, Genetics & Evolution BSP12M2 16

Insects & Environment PMP12M1 16

Extended Organic & Physical Chemistry

EOPC1M2 16

Core 112

Electives 16

Total 128


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




3

1

Higher Plant systematics BSP21M3 16

Intro Agric Research methods PMP3101 8#

Biometry PMP3111 16#

2

Soil science GEO22M4 16

Mini-Research proposal PMP3201 20#

Mini-Research project PMP32102 60#

Core 104

Elective 16

Total 120

# Denotes new module still to be costed

4.1.16.6 Bachelor of Science Honours (Botany)


2

1

Biochemistry BSP22M4 16 Pesticides & Applications PMP21M2 16 Crop Pests of South Africa PMP2104 16 Introduction to Physical Envir. GEO11M2 16

2

Mycology & Microbiology BSP22M6 16 Introduction to Parasitology PMP22M2 16 Post Harvest Technology PMP23M2 16 Intro Biostatistics PMP2101 16#

Core 112

Electives 16

Total 128


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Year level Semester Module Name Module Code Credits 1

1 Scientific Methodology BOT41M8 10 1 GIS and Computer Literacy BOT41M9 16 1 Statistical Methods BOT4M10 16 1-2 Project BOT41M6 30

Electives: Select three of these modules

1 2 Plant Systematics BOT41M1 16

2 Ecology BOT41M2 16 2 Plant Physiology BOT41M3 16 2 Ethnobotany BOT41M4 16 2 Biotechnology BOT41M5 16

1 2 Conservation Biology BOT41M7 16

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

Year Level Semester Module Name Module Code Credits

1

Advanced GIS GEO40M1 24

1 Advanced Research Methods GEO40M3 16 1-2 Research Project GEO40M4 32 1 Geomorphology GEO40M5 16

2 Applied Environmental Science GEO40M6 16 Applied Meteorology GEO40M7 16 Water Resources Management GEO40M8 16

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


1 1

Advanced GIS GEO40M1 24 Philosophy and Methodology GEO40M2 16 Agricultural Geography GEO41M2 16

1-2 Research Project GEO40M4 32


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



2 Development GEO40M9 16 Population Geography GEO40M0 16 Settlement Geography GEO41M1 16

4.1.16.8 Bachelor of Science Honours (Zoology)

Year Level


1

1

Scientific Methodology ZOO41M1 16 Eco-physiology ZOO41M2 16 Ecology & Management of Terrestrial Resources ZOO42M1 16

2

Ecology & Management of Marine & Coastal Resources

ZOO42M2 16

Ecology & Management of Freshwater Resources ZOO42M3 16 Conservation Ecology ZOO42M4 16

1-2 Project ZOO42M5 40

4.1.16.9 Master of Science (Botany)(BOT50M0)

Year level Module Name Module Code Credits 1 & 2 Dissertation BOT51M1 180

4.1.16.10 Master of Science (Geography) (MGE50M0)

Year level Module Name Module Code Credits 1 & 2 Dissertation GEO51M1 180

4.1.16.11 Master of Science in Zoology (MZO50M0)

Year Level Module Name Module Code Credits 1 & 2 Dissertation ZOO51M1 180


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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

In the meantime, graduates with a two-year Diploma qualification in Pest Management with an average final year mark of 60% and above are eligible to apply and be considered for admission into year II BSc degree in Pest Management. Students admitted under this criterion will spend an extra year (registered in level II BSc in Pest management) to validate APS11M1 (Applied Statistics I), APS12M1 (Applied Statistics II), CHE11M1 (General Chemistry), CHE12M1 (General Chemistry) and an elective course in order to be promoted to level III BSc (Pest Management).

The introduction of the recently approved three-year (360 credits) Diploma in Pest Management that has a work integrated learning (WIL) component will graduate students who qualify for admission into year III BSc in Pest Management.

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


4.1.17.5 Doctor of Philosophy

4.1.18 Core Syllabi of Subjects in the Department

4.1.18.1 Undergraduate Core Modules in Biological Sciences

Module Code

Module Name NQF Level Credits Semester

BSP11M1 PLANT FORM & FUNCTION 5 8 1 Lectures per week

Practicals per week Tutorials per week

Number of weeks Notional hours

4 x 50 min 1 x 180 min 1 x 60 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. Continuous Assessment (CA): Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Semester mark (CA) 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



4 x 50 min 1 x 180 min 1 x 60 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: laboratory practicals.

Assessment Continuous Assessment (CA): Class tests, assignment, tutorials, practicals. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Pre-requisites None.

Module Code Module Name NQF Level Credits Semester BSP11M5 ANIMAL DIVERSITY 5 8 1 Lectures per week



4 x 50 min 1 x 180 min 1 x 60 min 7 80

Content or Syllabus

Theory: Classification and Taxonomy. Kingdoms of Life. Kingdom Protista. Kingdom Animalia. Diagnostic features, evolutionary relationships, diversity and/or life cycles. Practicals: Laboratory practicals.

Assessment Continuous Assessment (CA): Class tests, assignment, tutorials, practicals. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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


4 x 50 min 1 x 180 min 2 x 60 min 15 160


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



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 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; 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 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. E: Animal development Introduction to animal embryology. Practicals: xperiments chosen from approved Cell & Molecular Biology sections.

Assessment Continuous Assessment (CA): Class tests, assignments, tutorials, practicals. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.



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



Module Code Module Name NQF Level Credits Semester BSP12M4 PLANT DIVERSITY 5 8 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 1 x 60 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 Continuous Assessment (CA): Class tests, Essay, Assignment, Practical reports, Term test. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: None

Module Code Module Name NQF Level Credits Semester BSP21M2 ECOLOGY 6 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 2 x 60min 15 160 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. Continuous Assessment (CA): Class tests, practical reports, assignment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP11M1, BSP12M4, BSP12M2, BSP11M5, CHE11M1, CHE12M1 Concurrent Subjects: APS11M1, APS12M1

Module Code


BSP21M3 HIGHER PLANT SYSTEMATICS 6 16 1 Lectures per Practicals per week Tutorials Number Notional hours


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



week per week of weeks 4 x 50 min 1 x 180 min 0 15 160 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. Continuous Assessment (CA): Essay. Assignment. Class tests. Practical reports. Term tests. Plant collection. Field trips. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP11M1 and BSP12M4

Module Code


BSP22M4 BIOCHEMISTRY 6 16 2 Lectures per week



4 x 50 min 1 x 180 min 2 x 60min 15 160 Content or Syllabus: Introduction to biochemistry, 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 for photosynthesis, Light dependent and light independent reactions. Cellular respiration, Glycolysis, Aerobic and Anaerobic respiration. DNA replication: Discovering DNA structure, DNA and protein synthesis, RNA and protein synthesis. Lipid metabolism. Continuous Assessment (CA): Class tests, assignments, practicals. The final mark will be obtained from the Semester mark (CA) 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 6 16 2


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



FUNCTION Lectures per week



4 x 50 min 1 x 180 min N/A 15 160

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: Laboratory and field practicals.

Assessment Continuous Assessment (CA): Class tests, assignments, practicals. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

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

Module Code


BSP22M6 MYCOLOGY AND MICROBIOLOGY 6 16 2 Lectures per week



4 x 50 min 1 x 180 min 0 15 160 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 Continuous Assessment (CA): Theory tests, assignment and practical reports. The final mark will be obtained from the Semester mark (CA) 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


Number of weeks

Notional hours

4 x 50 min 1 x 180 min N/A 15 160

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: Laboratory practicals.

Assessment Continuous Assessment (CA): Class tests, practicals, terminology tests, assignments, project. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Pre-requisites BSP11M2; BSP11M5

Module Code


BSP31M2 PLANT PHYSIOLOGY 7 16 1 Lectures per week



4 x 50 min 1 x 180 min 0 15 160 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. Plant mineral nutrition: micro and macro elements essential for plant growth. 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 and experiments. Continuous Assessment (CA): Assignments, practical reports and theory tests. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Pre-requisite: BSP22M4

Module Code


BSP31M3 PLANT PATHOLOGY 7 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 0 15 160


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



Content or Syllabus: Causes of plant disease. Physiology of host-parasite relationships. Plant disease epidemiology and management. Practicals: Laboratory practicals. Continuous Assessment (CA): Theory tests. Assignment. Practical reports. The final mark will be obtained from the Semester mark (CA) 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 week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 0 15 160

Content or Syllabus

Theory: Part One: Animal Behaviour General introduction, natural selection; development of behaviour; proximate and ultimate causes of behaviour; Acquiring resources; Partners; Biological clocks and parenting; anti-behaviour and social behaviour. Theory: Part Two: Animal Physiology Nervous systems and sensory physiology; Circulatory system: Fish, amphibians, reptiles, birds, and mammals; Gas exchange and physiology of ventilation: respiration in water vs. air, respiratory organs, Gas exchange and physiology of ventilation: respiration in water vs. air, respiratory organs, Ventilation in amphibians, birds, and mammals; Kidney function mammals; Food, nutrition, digestion; Muscle and movement; Endocrine and Reproductive physiology. Practicals: Laboratory experiments.

Assessment Continuous Assessment (CA): Theory tests, practical reports, assignments, projects. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

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


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



Module Code Module Name NQF Level Credits Semester BSP32M6 CONSERVATION BIOLOGY 7 16 2 Lectures per week



4 x 50 min 1 x 180 min 0 15 160

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 environmental ethics.

Assessment Continuous Assessment (CA): Class tests, assignments, practical reports. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Pre-requisites BSP11M5; BSP12M4; BSP21M2/PMP12M1.

Module Code


BSP32M7 ECONOMIC BOTANY 7 8 2 Lectures 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. Continuous Assessment (CA): Class tests, practicals and assignment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Pre-requisites: BSP21M3.


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



Module Code Module Name NQF Level Credits Semester BSP32M7 ECONOMIC ZOOLOGY 7 8 2 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 0 7 80 Content or Syllabus

General introduction E- conomic importance of insects, Beneficial and harmful insects, Pollinators of crops, Apiculture, Lac culture, Sericulture, 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, Pharmaceuticals from animals, Rats and their control, Aids. 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 Continuous Assessment (CA): Theory tests, assignments, practical reports. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

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


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 1 x 60 min 15 160

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, 7. Aerial Photo Mapping and Interpretation of physical and cultural Landscapes.

Assessment Continuous Assessment (CA): Three tests, assignments, practical reports, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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



Module Code Module Name NQF Level Credits Semester EGEO12M2 FUNDAMENTALS OF THE

PHYSICAL ENVIRONMENT 5 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 2 x 60 min 15 160

Content or Syllabus

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, ecosystem concept, 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): Three tests, assignments, presentations, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester EGEO11M3 FUNDAMENTALS OF

ENVIRONMENTAL SURVEY TECHNIQUES

5 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 2 x 60 min 15 160

Content or Syllabus

1. Application of Satellites and Radar Imagery in Weather Forecasting. 2. Analysis and interpretation of Drainage Systems. 3. Acquisition, interpretation, and presentation of Environmental Data. 4. Surveying and Surveying Techniques.

Assessment Continuous Assessment (CA): Three tests, assignments, presentations, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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



Module Code Module Name NQF Level Credits Semester EGEO12M4 FUNDAMENTALS OF THE HUMAN

ENVIRONMENT 5 16 2

Lectures per week



4 x 50 min 1 x 180 min 1 x 60 min 15 160

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. Man as an Ecological Agent. 8. Spatial Structure and Organisation of the Human Environment.

Assessment Continuous Assessment (CA): Three tests, assignments, practical reports, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester GEO11M1 INTRO TO ENVIRONMENTAL

SURVEY TECHNIQUES 5 16 1

Lectures per week



4 x 50 min 1 x 180 min 1 x 60 min 15 160

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. 7. Aerial Photo Mapping and Interpretation of physical and cultural Landscapes.

Assessment Continuous Assessment (CA): Three tests, assignments, practicals, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

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

4 x 50 min 2 x 60 min 15 160

Content or 1. Introduction to Geomorphology: study of landforms and land forming processes, plate


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



Syllabus tectonics, major features of the earth’s surface, hydrological cycle, earth’s resources and development. 2. 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 3. Introduction to Biogeography: concept of the biosphere and the domain of biogeography, structure of the biosphere, principle characteristics of the biosphere, ecosystem concept, 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): Three tests, assignments, tutorials, presentations. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester GEO12M1 INTRODUCTION TO

ENVIRONMENTAL SURVEY TECHNIQUES

5 16 2

Lectures per week



4 x 50 min 1 x 180 min 1 x 60 min 15 160

Content or Syllabus

1. Application of Satellites and Radar Imagery in Weather Forecasting. 2. Analysis and interpretation of Drainage Systems. 3. Acquisition, interpretation, and presentation of Environmental Data. 4. Surveying and Surveying Techniques.

Assessment Continuous Assessment (CA):Three tests, assignments, practicals, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester GEO12M3 INTRODUCTION TO THE HUMAN

ENVIRONMENT 5 16 2

Lectures per week



4 x 50 min 2 x 60 min 15 160

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. Man as an Ecological Agent. 8. Spatial Structure and Organization of the Human Environment.


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



Assessment Continuous Assessment (CA): Three tests, assignments, tutorials, presentations. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester GEO21M1 ENVIRONMENTAL SURVEY

TECHNIQUES 6 16 1

Lectures per week



4 x 50 min 2 x 60 min 15 160

Content or Syllabus

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. 9. Introduction to Inferential Statistics.

Assessment

Continuous Assessment (CA):Three tests, assignments, tutorials. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester GEO21M2 ATMOSPHERE AND TERRAIN

ANALYSIS 6 16 1

Lectures per week



4 x 50 min 15 160

Content or Syllabus

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 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): Three tests, assignments, presentations. 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



4 x 50 min 1 x 180 min 1 x 60 min 15 160

Content or Syllabus

Characteristics of qualitative research, Research paradigms, types of qualitative research, Qualitative data collection techniques, and Analysis and presentation of qualitative data.

Assessment Continuous Assessment (CA): Three tests, assignments, practicals, tutorials. 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 16 2

Lectures per week



4 x 50 min 15 160

Content or Syllabus

Causes and Effects of environmental degradation, Population growth and resource utilisation and depletion, Environmental issues and spatial planning, Air and water quality management, Hazardous and solid waste management, Economic impacts of environmental controls, Global, national and regional environmental planning and management programmes/initiatives, and Sustainable development and sustainability.



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Module Code Module Name NQF Level Credits Semester GEO22M4 SOIL SCIENCE 6 16 2 Lectures per week


Number of weeks

Notional hours

4 x 50 min 2 x 60 min 15 160

Content or Syllabus

Introduction to soil science, Soil forming processes, Pedology and adaphology, Soil nomenclature and classification, Characteristics of soil, Soil plant water relationship, World soils and soil mapping, and Soil degradation and conservation.

Assessment Continuous Assessment (CA): Three tests, assignments, tutorials. 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


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 1 x 60 min 15 160

Content or Syllabus

Principles of remote sensing, Basic processes in Remote Sensing, Energy Sources and Electromagnetic Energy, Matter-Energy interactions, Definition and technical overview of GIS, History of GIS, Components of a GIS, GIS Data collection and inputting, GIS data modeling, GIS capabilities, Maps and GIS.

Assessment Continuous Assessment (CA): Three tests, assignments, practicals, tutorials. 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 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 15 160

Content or Syllabus

Environmental problems, Environmental crisis and laws of nature, Environmental economics, Food and water resources management, Environmental pollution, and Solid and hazardous


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



waste management and their effects on the ecosystem.

Assessment Continuous Assessment (CA): Three tests, assignments, class exercises, presentations. 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 GEO31M3 TOURISM AND ECOTOURISM 7 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 15 160

Content or Syllabus

Introduction To Tourism and Ecotourism, classification of Tourism, Global, national and regional tourism trends, Impacts of Tourism-led development and their management,Pro-poor Tourism, Tourism and poverty alleviation in South Africa (with case studies), Tourism Entrepreneurship and Small Business Development in South Africa.



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



Module Code Module Name NQF Level Credits Semester GEO31M6 RESEARCH METHODOLOGY 7 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 15 160

Content or Syllabus

Introduction to the nature of research, Basic concepts in research, Process and techniques related to conducting research, Research in environmental and geographical setting, Preparation for conducting research, Methods and sources of research data, Data collection, capture, analysis and summarisation, Presentation of research findings, and Challenges in conducting research.


Module Code Module Name NQF Level Credits Semester GEO32M1 GEOGRAPHIC INFORMATION

SYSTEMS (GIS) 7 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 15 160

Content or Syllabus

Designing and managing a GIS database, GIS application areas, Remote Sensing Systems, Data Acquisition and processing in Remote Sensing, The state of GIS in developing countries, Managing GIS projects, and Answering questions using GIS.



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



Module Code Module Name NQF Level Credits Semester GEO32M4 RURAL RESOURCES

MANAGEMENT 7 16 2

Lectures per week



4 x 50 min 15 160

Content or Syllabus

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


Module Code Module Name NQF Level Credits Semester GEO32M5 ENVIRONMENTAL IMPACT

ANALYSIS 7 16 2

Lectures per week



4 x 50 min 15 160

Content or Syllabus

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


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4.1.18.3 Undergraduate Core modules in Pest Management

Module Code


EISF1M1 INSECT STRUCTURE & FUNCTION 5 16 1

Lectures per week

Practicals per week Tutorials per 2 weeks


4 x 50 min 1 x 180 min 1 x 60 min 15 160

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 function to perform different life processes such as digestion, excretion, respiration, reproduction etc.

Practicals: Cover 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.

Continuous Assessment (CA): Assignment, Class tests, Term test, Tutorials, Practicals. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Pre-requisites: None.

Module Code


PMP11M2 INSECTS & MAN 5 16 1

Lectures per week

Practicals per 2 weeks Tutorials per week


4 x 50 min 1 x 180 min; Field work 6´5h 1 x 60 min 15 160

Content or Syllabus: Theory: 1. Foundational concepts 1: Insects in the hypothetical phylogeny of arthropods, annelids & onychophorans, reasons for insects success 2. 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: Experiments chosen from the following: Household/industrial pest control, Crop pests, Livestock/veterinary pests and medical entomology.



Module Code


PMP12M1 INSECTS & ENVIRONMENT 5 16 2

Lectures per week



4 x 50 min 1 x 180 min; 4 x 5 h Field work 1 x 50 min 15 160

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. Visits to nature reserves to observe insects on their natural habitats. Visit to farms to observe insects on agro-ecosystems.




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Module Code


PMP21M2 PESTICIDES & APPLICATIONS 6 16 1

Lectures per week

Practicals per 2 weeks Tutorials per week

Number of weeks

Notional hours

4 x 50 min 1 x 180 min

Field work 3 x 5 h

3 x 60 min 15 160

Content or Syllabus: Theory: Legislation & Safety Issues in pesticide usage in South Africa, Methods & Principles for insect & mite control, Herbicide usage in weed control, 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.


Pre-requisites: CHE11M1, CHE12M1, PMP11M1, PMP11M2, PMP12M1.

Module Code

Module Name NQF Level

Credits Semester

PMP24M1 CROP PESTS OF SOUTHERN AFRICA 6 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min; 4 x 5 h Field work 1 x 60 min 15 160

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. Crops grown in Mthatha, Eastern Capes and South Africa as a whole. Description of the life cycles of selected insect pests representing each category of 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).

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 local farming communities. The students learn from farmers the different pests affecting their crops. Identifying pests on the fields and also collecting specimens for laboratory work.


Pre-requisites: PMP11M1, PMP11M2, PMP12M1

Module Code


PMP22M2 INTRODUCTION TO PARASITOLOGY

6 16 2

Lectures per week

Practicals per week Tutorials per week Number of weeks Notional hours

4 x 50 min 1 x 180 min 1 x 60 min 15 160

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.



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Module Code


PMP23M2 POST HARVEST TECHNOLOGY 6 16 2

Lectures per week



4 x 50 min 1 x 180 min; 5 x 5 h field work 1 x 60 min 15 160

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.



Module Code


HMT31M2 HELMINTHOLOGY 7 16 1

Lectures per week



4 x 50 min 1 x 180 min 1 x 60 min 15 160


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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.


Pre-requisites: PMP22M2

Module Code


PMP32M2 INSECT TAXONOMY 7 16 2

Lectures per week

Practicals per 2 weeks Tutorials per 2 weeks

Number of weeks

Notional hours

4 x 50 min 1 x 180 min 1 x 60 min 15 160

Content or Syllabus: Theory: Evolution & Phylogeny of Phylum Arthropoda, Foundational concepts in insect taxonomy, classification & systematics, Important components of biological classification, Pterygotes & Apterygotes within Class Insecta. Major Insect orders of importance in South Africa.

Practicals: Insect sampling techniques, Specimen processing: pinning & preservation, Developing and using specimen identification keys.


Pre-requisite: PMP24M1

Co-requisite: PMP32M3


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Module Code Module Course NQF Level Credits Semester

PMP32M3 INTEGRATED PEST MANAGEMENT

7 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min; Field 4 x 5 h 1 x 60 min 15 160

Content or Syllabus: Theory: A brief introduction of insects and humans and how they 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.


Pre-requisites: All Level I PMP modules.

4.1.18.4 Postgraduate Core Modules in Botany

Module Code Module Name NQF Level Credits Semester BOT41M1 PLANT SYSTEMATICS 8 16 2 Lectures per week



4 x 50 min 1 x 180 min 0 7 160


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



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 & Conservation. Curation of natural history collections. Speciation: isolation mechanisms, variation, adaptation, Darwin and natural selection. Epigenetics. Classification of three major plant groups: Poaceae, Asteraceae and Fabaceae. Continuous Assessment (CA): A series of current papers will be studied. Essays. Assignments. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M2 ECOLOGY 8 16 2 Lectures per week


Number of weeks Notional hrs

4 x 50 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. Continuous Assessment (CA): Essays, Assignments. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M3 PLANT PHYSIOLOGY 8 16 2 Lectures 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. Continuous Assessment (CA): Essays, Assignments. The final mark will be obtained from the Semester mark


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



(CA) and Summative Assessment (E) in the ratio 3:2.

Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M4 ETHNOBOTANY 8 16 2 Lectures per week



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. Continuous Assessment (CA): Essays, Assignments. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M5 BIOTECHNOLOGY 8 16 2 Lectures 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. Continuous Assessment (CA): Essays, Assignments. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BScB, BScPMP.


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



Module Code Module Name NQF Level Credits Semester BOT41M6 PROJECT 8 30 1 Lectures per week


Number of weeks

Notional 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: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M7 CONSERVATION BIOLOGY 8 16 2 Lectures 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. Continuous Assessment (CA): Essays, Assignments. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M8 SCIENTIFIC METHODOLOGY 8 10 1 Lectures per week

Practicals per week Tutorials per week Number of weeks

Notional hours

4 x 50 min 1 × 180 min 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. Continuous Assessment (CA): Essays, assignments, tests. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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



Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT41M9 GIS & COMPUTER LITERACY 8 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 × 180 min 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. Continuous Assessment (CA): Essays, assignments, tests. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.

Module Code Module Name NQF Level Credits Semester BOT4M10 STATISTICAL METHODS 8 16 1 Lectures 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 t-test; t-distribution (applications only); F-distribution (applications only);n1-way Anova; 2-way 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. Continuous Assessment (CA): Practical skills using students’ projects; theory tests; intensive assignment; practical test. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2. Entry Assumptions/Pre-requisites: BSP, BSc PMP.


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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


Number of weeks

Notional hours

4 x 50 min 13 160

Content or Syllabus

Modelling and analysis of spatial problems. Data collection and techniques of spatial analysis for both raster and vector models, with emphasis on natural resource-based applications. 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.


Module Code Module Name NQF Level Credits Semester GEO40M2 PHILOSOPHY AND

METHODOLOGY 8 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 13 160

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.


Module Code Module Name NQF Level Credits Semester GEO40M3 ADVANCED RESEARCH METHODS 8 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 13 160


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



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): Three tests, assignments, class exercises, presentations. 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


Notional hours

4 x 50 min 13 160

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 Continuous Assessment (CA): Three tests, assignments, class exercises, presentations. 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 GEO40M6 APPLIED ENVIRONMENTAL SCIENCE 8 16 2 Lectures per week


Number of weeks

Notional hours

4 x 50 min 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 conservation, urban environmental challenges, ecological dynamics and human impact on ecosystems, marine and coastal management.



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Module Code Module Name NQF Level Credits Semester GEO40M7 APPLIED METEOROLOGY 8 16 2 Lectures per week


Notional hours

4 x 50 min 13 160

Content or Syllabus

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


Module Code Module Name NQF Level Credits Semester GEO40M8 WATER RESOURCES

MANAGEMENT 8 16 2

Lectures per week


Notional hours

4 x 50 min 13 160

Content or Syllabus

Thematic issues in the sustainability of water resources development, including social, institutional, planning and coordination, environmental, technical, 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, demand-supply 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 inter-generational and intra-generational equity; privatisation and user participation in resource management; case studies, especially from the southern Africa region.


Module Code Module Name NQF Level Credits Semester GEO40M9 DEVELOPMENT 8 16 2


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



Lectures per week


Notional hours

4 x 50 min 13 160

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.


Module Code Module Name NQF Level Credits Semester GEO40M0 POPULATION GEOGRAPHY 8 16 2 Lectures per week


Notional hours

4 x 50 min 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.


Module Code Module Name NQF Level Credits Semester GEO41M1 SETTLEMENT GEOGRAPHY 8 16 2 Lectures per week


Number of weeks

Notional hours

4 x 50 min 13 160

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): Three tests, assignments, presentations.


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



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


Number of weeks

Notional hours

4 x 50 min 13 160

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 systems in promoting agriculture, improvement and transformational approaches to agricultural development in developing countries, spatial processes and location change.


4.1.18.6 Postgraduate Core Modules in Zoology

Module Code Module Name NQF Level Credits Semester ZOO41M1 SCIENTIFIC METHODOLOGY 8 16 1 Lectures per week


Number of weeks

Notional hours


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).

Assessment

Continuous Assessment (CA): Three tests, assignments, practical test and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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Module Code Module Name NQF Level Credits Semester ZOO41M2 ECO-PHYSIOLOGY 8 16 1 Lectures per week


Number of weeks

Notional hours


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

Assessment Continuous Assessment (CA): Assignments, tests, practicals, project. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester ZOO42M1 ECOLOGY & MANAGEMENT OF

TERRESTRIAL RESOURCES 8 16 2

Lectures per week


Number of weeks

Notional hours


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 Continuous Assessment (CA): Three tests, assignments, practical test, and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


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




MARINE & COASTAL RESOURCES

8 16 2

Lectures per week


Number of weeks

Notional hours


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).

Assessment Continuous Assessment (CA): Three tests, assignments, practical test and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.


FRESHWATER RESOURCES 8 16 2

Lectures per week


Number of weeks

Notional hours


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.

Assessment Continuous Assessment (CA): Three tests, assignmnets, a practical assessment and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester ZOO42M4 CONSERVATION BIOLOGY 8 16 2 Lectures per Practicals per week Tutorials Number of Notional hours


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



week per week weeks 4 x 50 min 1 x 180 min 0 7 160 Content or Syllabus

Introduction: Biodiversity Conservation; Conservation Management – 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 Continuous Assessment (CA): Three tests, assignments, a practical assessment and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

Module Code Module Name NQF Level Credits Semester ZOO42M5 ZOOLOGY MINI PROJECT 8 40 1 & 2 Lectures per week


Number of weeks

Notional hours

N/A N/A 0 400

Assessment Project proposal and final project presentations, Internal and External Examination of mini-thesis.

Module Code Module Name NQF Level Credits Semester ZOO42M6 BASIC COMPUTER & GIS

SKILLS 8 16 2

Lectures per week


Number of weeks

Notional hours


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

Assessment Continuous Assessment (CA): Three tests, assignments, a practical assessment and a summative assessment. The final mark will be obtained from the Semester mark (CA) and Summative Assessment (E) in the ratio 3:2.

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.


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Department of Chemical and Physical Sciences l page 75


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 Programmes in the Department The department offers a general Bachelor of Science degree under various streams: Applied Mathematics, Mathematics, Statistics and Computer Science. Corresponding postgraduate programmes are also 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:

• 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 teaching, create an environment to engage in solving real-world problems and

societal challenges.


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

Department of Mathematical Sciences and Computing l page 76


4.2.5 Minimum Admission Requirements and Programme Characteristics

4.2.5.1 Admission Requirements

4.2.5.1.1 BSc (3 year programmes)

Senior Certificate with Matriculation, Conditional or Mature Age Exemption if the applicant is 23 years old on the year of registration with SG (D) or HG (E) in Mathematics, Physical Science, and English. Using the new National Senior Certificate, certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 (50%) in Mathematics, Physical Science and English.

4.2.5.1.2 Recognition of Credits from Other Institutions

Not more than 50% of the credits from other institutions will be recognized. All exit level courses will 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. All exit level courses will only be exempted under extraneous conditions.

4.2.5.2. BSc (4 year Extended programmes)

Same as the 3 year programme except that the minimum number of credits 480 and the minimum duration of the programme is four years of full time study.

Programme Outcomes

Critical Outcomes

The learner will be able to:

• 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.

Accreditation & Quality Assurance: CHE, HEQC & SAQA accredited.

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.


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



See also General Prospectus Rules.

4.2.7.1 Registration requirements that must be met (Computer Science Students)

• 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 pre-requisite 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

• See Faculty progression rules on Section 2.8. • A student who completes all core modules and pre requisite modules will progress from one level to the

next.

4.2.8 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 Programme Information

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, industry and commerce.

4.2.9.1.1 Career Opportunities

A Bachelor of Science degree in Applied Mathematics will prepare the student for jobs in statistics, actuarial sciences, mathematical modelling, cryptography, 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 Purpose of Qualification

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 be able to: • 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 the ability to write mathematics correctly. • Manage and organise own learning activities responsibly. • Demonstrate the ability to solve mathematical problems.

4.2.9.1.4 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 General Programme Rules

4.2.9.1.5.1.1 Bachelor of Science (Mathematical Sciences and Computing)

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. This 80% attendance rule becomes effective from the date the student gets registered. Upon late registration, a student may be allowed to attend classes provided they have missed less than 20% of the total tuition of that particular module/cour

4.2.9.1.5.1.2 Bachelor of Science Honours

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. 4.2.9.1.5.1.3 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 it 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. 4.2.9.1.5.1.4 Doctor of Philosophy 4.2.9.1.5.1.2 Progression Rules To progress from year to year the student must fulfill the requirements of the curriculum. If a student has successfully completed 75% of the modules in a level, they may register for modules in the next level (Rule G17.1). 4.2.9.1.5.2.1 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. All the foundation and core modules for this qualification must be passed to be eligible for graduation.


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



4.2.9.1.5.2.2 Bachelor of Science Honours

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

4.2.9.1.5.2.3 Master of Science

Two external examiners and one internal examiner assess the dissertation. 4.2.9.1.5.2.4 Doctor of Philosophy A thesis shall be axamined by one internel examiner and three external examiner approved by Senate. The internal examiner may be the same peron as the supervisor. The thesis must satify at least two eternal eaminers in order to qualify for a pass.


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



4.2.9.1.5.1 Core and Foundation Modules

Year level

Semester Module Type Course/Module Code Credits

1 1

1

1

Core

Precalculus & Calculus I MAT11M1 16

Introduction to Linear & Vector Alg.

APM11M1 16

Precalculus & Calculus I MAT11M1 16

Foundation Computer Literacy ELSK1M0 8

Communication Skills COK11M0 8

Computer Literacy CLT11M1 8

2 Core Precalculus & Calculus II MAT12M1 16

2 Core Linear Programming & Applied Computing

APM12M1 16

Foundation Communication Skills COK11M0 8



Total credits 120

Year level

Semester Module Name Module Code

Credits

2

1

Multivariate Calculus MAT21M1 8

Ordinary Differential Equations MAT22M1 8

Numerical Analysis I APM21M1 16


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



2

Real Analysis I MAT21M2 8

Linear Algebra I MAT22M2 8

Eigenvalue Problems and Fourier Analysis

APM22M1 16



Total credits 120

Year level

Semester Course/Module Code Credits

3 1 Numerical Methods APM31M1 16

2

Complex Analysis MAT32M2 16

Mathematical Programming APM32M1 16

1 Linear Algebra II MAT31M2 16



Total credits 120

]


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



4.3.9.1.5.2 List Of Electives

Year level


1

1

General Chemistry I CHE11M1 16

Information Systems and Applications

CSI11M1 8

Problem Solving and Programming

CSI11M2 8

General Physics I PHY11M1 16

Probability & Distribution Theory I

STA11M1 16

2


Object-oriented Programming CSI12M1 8

General Physics II PHY12M2 16

Probability & Statistical Inference I

STA12M2 16

2 Mechanics I APM22M2 16

1

Analytical Chemistry II CHE21M2 16

Physical Chemistry II CHE21M5 16

Programming in JAVA CSI21M1 14

Mechanics & Waves PHY21M1 16

Probability & Distribution Theory II

STA21M1 16

2 Inorganic Chemistry II CHE22M3 16


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



2 Organic Chemistry II CHE22M4 16

2

Thermodynamics and Modern Physics

PHY22M2 16

Operating Systems CSI22M1 14

Statistical Inference II STA22M2 16

3 1

Inorganic Chemistry III CHE31M3 16

Organic Chemistry III CHE31M4 8

Introduction to Artificial Intelligence

CSI31M1 14

Software Engineering I CSI31M2 14

Electromagnetism and Quantum Mechanics

PHY31M1 24

Linear Models STA31M1 16

2 Analytical Chemistry III CHE32M2 16

2

Physical Chemistry III CHE32M5 16

Environmental Chemistry – 2003

CHE3207 12

Data Management CSI32M1 14

Software Engineering II CSI32M2 14

Statistical Mechanics and Solid State Physics

PHY32M2 24

Sampling Theory STA32M3 16


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



4.2.9.1.5.3 Prerequisite Courses

Year Level

Module Code

Module Name Prerequisite

1 MAT11M1 Precalculus& Calculus I Faculty admission requirements

APM11M1 Introduction to Linear & Vector Alg. Faculty admission requirements

MAT12M1 Precalculus & Calculus II Faculty admission requirements

APM12M1 Linear Programming & Applied Computing

Faculty admission requirements

2 MAT21M1 Multivariate Calculus

Precalculus & Calculus I,Precalculus& Calculus II

MAT22M1 Ordinary Differential Equations

Precalculus & Calculus I,Precalculus & Calculus II

APM21M1 Numerical Analysis I

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 Eigenvalue Problems and Fourier Analysis

All Level I APM courses ,MAT22M1

APM22M2 Mechanics I All Level I APM courses, MAT21M1

3 MAT31M1 Real Analysis II

Multivariate Calculus, Real Analysis I, Linear Algebra I

MAT31M2 Linear Algebra II


APM31M1 Numerical Methods APM21M1, APM22M1

ATA31M2 Abstract Algebra


MAT32M2 Complex Analysis Multivariate Calculus, Real Analysis I, Linear


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



Algebra I

APM32M1 Mathematical Programming APM21M1, APM22M1

4.2.9.1.6 Award of Qualification

The qualification will be awarded after satisfaction of the programme requirements, including obtaining a minimum of 360 credits.

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.


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



4.2.9.2.1 Core and Foundation Modules

Year level

Semester Course/Module Code Credits

1A 1 Mathematical Methods I EAPM1M1 16 Integrated Mathematics I EMAT1M1 16

Foundation Computer Science Fundamentals ECSI1M1 16 2 Academic Literacy I EACL1M1 8

Mathematical Methods II EAPM1M2 16 Integrated Mathematics II EMAT1M2 16

Foundation Life Skills ELSK1M2 Year-long

Academic Literacy II EACL1M2 8 Introduction to Programming ECSI1M2 16

Total core credits


Total Credits

120

1B 1 Mathematical Methods III EXMM1M1 16

Integrated Mathematics III EIMT1M1 16

Foundation Introduction to Computer Architecture

EICA1M1 16

2 Mathematical Methods IV EMAM1M2 16

Integrated Mathematis IV EIMT1M2 16

Foundation Introduction to Programming II EIPR1M2 16



Total Credits 120 * Core syllabi are the same as those of the BSc programme.


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



4.2.9.2.2 Electives

Year level Semester Module Name Module Code Credits 1A 1 Extended General Chemistry I ECHE1M1 16

2 Extended General Physics II EXGP1M2 16 2 Extended Organic and Physical Chemistry I CHE1212 16

1B 1 Extended General Physics III EGPY1M2 16

1 Extended General Chemistry II CHE1113 16 1 Probability & Distribution Theory I STA11M1 16

2 Extended General Physics IV EGPH1M2 16

2 Extended Organic & Physical Chemistry II CHE1214 16

2 Statistical Inference I STA12M2 16

4.2.9.2.3 Prerequisite Courses

Module Code Module Name Prerequisite

EAPM1M1 Mathematical Methods I Admission requirements as in section 1.6

EAPM1M2 Mathematical Methods II Admission requirements as in section 1.6

EXMM1M1 Mathematical Methods III EAPM1M1, EAPM1M2

EMAM1M2 Mathematical Methods IV EAPM1M1, EAPM1M2

EMAT1M1 Integrated Mathematics I Admission requirements as in section 1.6

EMAT1M2 Integrated Mathematics II Admission requirements as in section 1.6

EIMT1M1 Integrated Mathematics III EMAT1M1, EMAT1M2

EIMT1M2 Integrated Mathematics IV EMAT1M1, EMAT1M2


Vertical


Horizontal

Within WSU

Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistical


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



Science.

Other Universities


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.


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


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.


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.


4.2.9.3.4.1 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.


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




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.


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 Core and Foundation Modules

Year level


1 1 Precalculus& Calculus I MAT11M1 16

Introduction to Linear & Vector Alg. APM11M1 16

Foundation Communication Skills CLT11M1 8

2 Precalculus& Calculus II MAT12M1 16

Linear Programming & Applied Computing

APM12M1 16

Integrated Mathematics II EMAT1M2 16 Foundation Computer Literacy CLT11M1 8


Total cedits 80


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



Year level


2

1

Multivariate Calculus MAT21M1 8



2




APM22M1 16

Total credits 64

Year level


3

1

Real Analysis II MAT31M1 16

Linear Algebra II MAT31M2 16

Numerical Methods APM31M1 16

2

Abstract Algebra ATA31M2 16



Total credits 96


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



4.2.9.3.5.2 Electives

Year level


1

1


Information Systems and Applications CSI11M1 8

Problem Solving CSI11M2 8


Probability & Distribution Theory I STA11M1 16

2




Probability & Statistical Inference I STA12M2 16

Total credits 40

Year level


2

1






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



1 Probability & Distribution Theory II STA21M1 16

2 Mechanics I APM22M2 16

2 2

Inorganic Chemistry II CHE22M3 16

Organic Chemistry II CHE22M4 16

Thermodynamics and Modern Physics PHY22M2 16

Operating Systems CSI22M1 14

Statistical Inference II STA22M2 16

Total credits 56

Year level


3 1

Inorganic Chemistry III CHE31M3 16


Introduction to Artificial Intelligence CSI31M1 14



PHY31M1 24

Linear Models STA31M1 16

2 Analytical Chemistry III CHE32M2 16


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



4.2.9.3.5.3 Prerequisite Courses

Level Module Code Module Name Pre-requisite

1

MAT11M1 Precalculus& Calculus I Admission requirements as in section 1.5

APM11M1 Introduction to Linear & Vector Alg.

Admission requirements as in section 1.5

MAT12M1 Precalculus& Calculus II Admission requirements as in section 1.5


Introduction to Linear & Vector Algebra

Level Module Code ModuleName Pre-requisite

2

MAT21M1 Multivariate Calculus Precalculus& Calculus I,Precalculus& Calculus II


Precalculus& Calculus I,Precalculus& Calculus II

APM21M1 Numerical Analysis I 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 Eigenvalue Problems and Fourier Analysis

All Level IAPM courses , MAT11M1, MAT12M1, MAT22M1

APM22M2 Mechanics I All Level I APM courses, MAT21M1

2

Software Engineering II CSI32M2 16


PHY32M2 12

Sampling Theory STA32M3 14

Total credits 24


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



Level Modulecode Modulename Pre-requisite

3

MAT31M1 Real Analysis II Multivariate Calculus, Real Analysis I, Linear Algebra I

MAT31M2 Linear Algebra II Multivariate Calculus, Real Analysis I, Linear Algebra I

APM31M1 Numerical Methods APM21M1, APM22M1

ATA31M2 Abstract Algebra Multivariate Calculus, Real Analysis I, Linear Algebra I

MAT32M2 Complex Analysis Multivariate Calculus, Real Analysis I, Linear Algebra I

APM32M1 Mathematical Programming APM21M1, APM22M1


The qualification will be awarded after satisfaction of the programme requirements, including obtaining a minimum of 360 credits..



Horizontal Articulation is possible with NQF Level 7 qualifications offered by WSU, e.g. BSc Applied Statistical Science.

Other Universities


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.


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




Level Semester Module Type Module Name Code Credits

1 A

1 Core Module

Integrated Mathematics I EAPM1M1 16

Mathematical Methods I EMAT1M2 16

Integrated Mathematics II

EAPM1M2 16

Mathematical Methods II EMAT1M1 16

1

Foundation

Computer Science Fundamentals

ECSI1M1 16

Academic Literacy I EACL1M1 8

2

Introduction to Programming I

ECSI1M2 16

Academic Literacy II ACL1212 8

(Year) Life Skills ELSK1M2 8

1&2 Total core

credits 120

1&2 Electives

required 0

1&2 Total credits 120


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



Level Semester Module Type Module Name Code Credits

1A

1

Core Module

Integrated Mathematics III

EIMT1M1 16

1

Mathematical Methods III EXMM1M1 16

2

Integrated Mathematics IV

EIMT1M2 16

2 Mathematical Methods IV

EMAM1M2 16

1 Foundation Introduction to Computer

Architecture EICA1M1 16

2 Introduction to

Programming II EIPR1M2 16

Total core credits

96

Electives required

24

Total credits 120


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



4.2.9.4.2 Electives

Level Semester Module Name Module code

Credits

1A

1 Extended General Physics I EXGP1M1 16

1 Extended General Chemistry I ECHE1M1 16

2 Extended General Physics II EXGP1M2 16

2 Extended Organic and Physical Chemistry I

CHE1212 16

Level 1b

1A

1 Extended General Physics III EGPY1M2 16

1 Extended General Chemistry II EGCH1M1 16

1 Probability & Distribution theory I STA11M1 16


2 Extended Organic and Physical Chemistry II

CHE1214 16

2 Statistical Inference I STA12M2 16

4.2.9.4.3 Prerequisite Courses

Level Module Name Pre-requisite

1

Integrated Mathematics I Admission requirements as in section 1.6

Integrated Mathematics II Admission requirements as in section 1.6

Integrated Mathematics III EMAT1M1, EMAT1M2

Integrated Mathematics IV EMAT1M1, EMAT1M2

Mathematical Methods I Admission requirements as in section 1.6

Mathematical Methods II Admission requirements as in section 1.6

Mathematical Methods III 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 with a major 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.


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.


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.


4.2.9.5.2.1 Academic and Research Oriented Study

The programme is mainly academic and research oriented 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.

Mathematical Methods IV EAPM1M1, EAPM1M2

Integrated Mathematics I Admission requirements as in section 1.6


CHE1212


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




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.


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. 4.2.9.5.3.1 Core and Foundation Modules

Level Semester Module type

Module Name Module code

Credits

1A

1

Foundation

Extended General Physics I

EXGP1M1 16

Extended General Chemistry I

ECHE1M1 16

2

Extended General Physics II

EXGP1M2 16


CHE1212 16

Level Semester Module type

Module Name Module code

Credits

1

1

Core

Probability & Distribution Theory I

STA11M1 16

2 Probability & Statistical Inference I

STA12M2 16

1 Foundation

Computer Literacy CLT11M1 8

1&2 Communication Skills COK11M0 8


Elective credits required

72


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



Total credits 120

Level Semester Module Name Code Credits

2

1 Probability & Distribution Theory II STA21M1 16

2 Statistical Inference II STA22M2 16

Total core credits

32


98

Total credits 120

Level Semester Module Name Code Credits

3

2

Sampling Theory & Methods STA32M3 16

Stochastic Processes & Time Series Forecasting

STA32M2 16

1 Linear Model & Multivariable Distribution theory

STA31M1 16

Total core credits

48


72

Total credits 120

4.2.9.5.3.2 Electives

Level Semester Module Name Module code

Credits

1

1


Information Systems and Applications

CSI11M1 8

Problem Solving and CSI11M2 8


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



Programming

1 General Physics I PHY11M1 16

Precalculus& Calculus I MAT11M1 16

2

Precalculus& Calculus II MAT12M1 16




1 Introduction to Linear & Vector Alg.

APM11M1 16

2 Linear Programming & Applied Computing

APM12M1 16

Year Level


2

1


Information Systems and Applications CSI11M1 8

Problem Solving and Programming CSI11M2 8


Precalculus& Calculus I MAT11M1 16

2

Precalculus& Calculus II MAT12M1 16




1 Introduction to Linear & Vector Alg. APM11M1 16

2 Linear Programming & Applied Computing

APM12M1 16


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



Level Semester Module Name Module Code

Credits

2

2




1


APM22M1 16

Mechanics I APM22M2 16





2

Multivariable Calculus MAT21M1 8

Inorganic Chemistry II CHE22M3 16

Organic Chemistry II CHE22M4 16

Thermodynamics and Modern Physics

PHY22M2 16

1 Operating Systems CSI22M1 14


Minimum total credits 56 56

Level Semester Module Name Code Name

Credits

3

1

Numerical Methods APM31M1 16

Linear Algebra II MAT31M2 16

Inorganic Chemistry III HE31M3 16


Introduction to Artificial Intelligence

CSI31M1 14


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



1



PHY31M1 24

Linear Models & Multivariable Distribution Theory

STA31M1 16

2

Analytical Chemistry III CHE32M2 16

Physical Chemistry III CHE32M5 16

Environmental Chemistry – 2003 CHE3207 12

Data Management CSI32M1 14

Software Engineering II (CSI32M2 14


PHY32M2 24



4.2.9.5.3.3 Pre-Requisite Courses

Module Prerequisite Concurrent

STA11M1 Admission Requirement MAT11M1

APM11M1

STA12M2 Admission Requirement MAT12M1

APM12M1

STA21M1 STA11M1; STA12M2; MAT11M1; MAT12M1; APM11M1; APM12M1

MAT21M1; MAT21M2; APM21M1

STA22M1 STA11M1; STA12M2; MAT11M1; MAT12M1; APM11M1; APM12M1

MAT22M1; MAT22M2

APM22M1

STA31M1 STA21M1; STA22M2 MAT31M1; MAT31M2;


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



APM31M1

STA32M2 STA21M1

STA22M2

MAT32M1; MAT32M2

APM32M1




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.


Level 1a (BSCEAS)

Module Name Code Credits Semester

Core

Integrated Statistics I ESTA1M1 16 1

Integrated Mathematics I EMAT1M1 16 1

Integrated Statistics II ESTA1M2 16 2

Integrated Mathematics II EMAT1M2 16 2

Foundation

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)

Total core credits 120 1&2

Electives required 0 1&2

Total credits 120 1&2

Level 1b (BSCEAS)


Core

Integrated Statistics III EIST1M1 16 1

Integrated Mathematics III EIMT1M1 16 1

Integrated Statistics IV EIST1M2 16 2


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



Integrated Mathematics IV EIMT1M2 16 2

Foundation

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

Total credits 120 1&2

4.2.9.6.2 Electives

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

1a


Extended General Physics I EXGP1M1 16 1

Extended General Chemistry I ECHE1M1 16 1

Extended General Physics II EXGP1M2 16 2


CHE1212 16 2

Level Semester

Module Name Module Code

Credits

1b

1 Introduction to Linear & Vector Algebra APM11M1 16

1 Extended General Physics III EGPY1M2 16

1 Extended General Chemistry II CHE1113 16

2 Linear Programming & Applied Computing APM12M1 16


2 Extended Organic and Physical Chemistry II

CHE1214 16


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



4.2.9.6.3 Pre-Requisite Courses

Module Code Module Name Pre-Requisite

ESTA1M1 Integrated Statistics I Admission requirements as in section 1.6

ESTA1M2 Integrated Statistics II Admission requirements as in section 1.6

EIST1M1 Integrated Statistics III ESTA1M1, ESTA1M2

EIST1M2 Integrated Statistics IV ESTA1M1, ESTA1M2

EMAT1M1 Integrated Mathematics I Admission requirements as in section 1.6

EMAT1M2 Integrated Mathematics II Admission requirements as in section 1.6

EIMT1M1 Integrated Mathematics III EMAT1M1, EMAT1M2

EIMT1M2 Integrated Mathematics IV EMAT1M1, EMAT1M2




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.


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



4.2.9.7 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.


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. o 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.

4.2.9.7.3 Programme Curriculum

The entire programme consists Computer Science modules and other complementary modules. Essential underpinnings of the programme 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.

The qualification will be awarded after satisfaction of the programme requirements, including obtaining a minimum of 360 credits

Y-Semester , Y-Year, F-Foundation, C- co-modules, Electives- E

Level

Semster

Module type


CREDITS

S/Y

F/C/E

PRE-REQUISITE

1 1 Core Modules

Information Systems & Applications

CSI11M1 8 S C Admission Requirements

Problem Solving 11M2


Computer Literacy And Web Appl


Communication Skills

COK11M0 8 Y F Admission Requirements

Pre-Calculus & Calculus

MAT11M1 16 S

C Admission Requirements

Plus 1 Additional Elective


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



1 1 Electives General Physics PHY11M1 16 S E Admission Requirements

Intro Linear &VectAlg

APM11M1 16 S E Admission Requirements

Probability & Distribution

STA11M1 16 S E Admission Requirements

Intro To Microeconomics

ECO11M1 16 S E Admission Requirements

Intro to Business Management

BMA11M1 16 S E Admission Requirements

Level Semster

Module type


Credits S/Y F/C/E Pre-requiasite

2 1 Core

Moule

Computer Literacy And Web Appl II

CSI12M3 8 S C CSI11M3

Intro. To Object-Oriented Programming

CSI12M1 8 S C CSI11M2

Computer Organisation & Architecture


Precalculus & Calculus II

MAT12M1 16 S Admission Requirements

Plus 1 Additional Elective

Electives General Physics PHY12M2 16 S E Admission Requirements

Linear Programming APM12M1 16 S E APM11M1

Statistical Inference STA12M2 16 S E Admission Requirements


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



Intro To Macro-Economics

ECO12M2 16 S E Admission Requirements

Management of the Enterprise

BMA12M2 16 S E Admission Requirements

2 2 Core Module

Programming In Java & Networking

CSI21M1 14 S C CSI11M2, CSI12M1

Data Communications


Plus 2 Additional Electives

2 2 Electives

Multivariate Calculus MAT21M1 8 S E MAT11M1, MAT12M1

Real Analysis I MAT21M2 8 S E MAT11M1, MAT12M1

General Physics OR

Mechanics And Waves

PHY11M1 Or

PHY21M1

16

16

S E

PHY12M1

Intro Linear & Vect Alg OR

Numerical Analysis 201

APM11M1 OR

APM21M1

16

16

S

S

E Admission Requirements

MAT11M1, MAT12M1, APM12M1

Probability & Distr OR

Probability Distribution Theory 201

STA11M1 Or STA21M1

16 S E Admission Requirements

STA11M1, STA12M2

Intro To Microeconomics Micro-Economics21M2

ECO11M1/ OR

ECO21M2

16

8

S E

ECO11M1 ,ECO12M1


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



Mathematical Economics

ECO21M3 8 S E ECO11M1 ,ECO12M1

Intro to Business Management

Principles of Management

BMA11M1 OR

BMA21M1

16

16

S E

BMA12M2

Level Semster

Module type


Credits S/Y

F/C/E

Pre-requiasite

2 2 Core Module

Operating Systems CSI22M1 14 S C CSI12M1,CSI12M2

Data Structures CSI22M2 14 S C CSI12M1,CSI12M2


2 2 Electives 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

Micro-Economics 21M2

ECO12M1 OR

ECO22M2

16

8

S E

ECO11M1 ,ECO12M1

Management of the Enterprise

Operations Management

BMA12M1 OR BMA22M2

16

16

S E

BMA11M1, BMA12M1

Level

Semster

Module type

Module Name

Module Code

CREDITS S/Y

F/C/E

PRE-REQUISITE

3

1 Core Module

Mechanics and Waves OR

Electromagnetism & Quantum Mechanics

PHY21M1 OR

PHY31M1

16

24

S

E PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2

Probability Distribution Theory 201 OR

Linear Models & Multi-Variable Distribution Theory

STA21M1 OR STA31M1

16 S E STA11M1, STA12M2

STA21M1, STA22M2

Micro- ECO21M2 8 S E ECO11M1


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



Economics 2012

,ECO12M1




BMA21M1 16 S E BMA11M1, BMA12M2

Numerical Methods

APM31M1 16 S E MAT21M1, MAT21M2, MAT22M1, MAT22M2, APM22M1, APM21M1

Real Analysis II

MAT31M1 16 S E MAT21M2,MAT22M2, MAT21M1

Linear Algebra II


3

2

Core Module

Intro to Artificial Intelligence

CSI31M1 14 S C CSI22M2, CSI21M1, MAT12M1

Electives

Software Engineering



Mechanics and Waves OR

Electromagnetism & Quantum Mechanics

PHY22M2 OR

PHY32M1

16

24

S E PHY11M1,PHY12M2, MAT11M1, MAT12M1PHY21M1, PHY22M2, MAT21M1, MAT21M2, MAT22M1, MAT22M2


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



Electives

Probability Distribution Theory 201 OR

Linear Models & Multi-Variable Distribution Theory

STA32M3 16 S E STA21M1, STA22M2

Micro-Economics 2012

STA22M2 OR

STA32M2

16

16

S E STA11M1, STA12M2

STA21M1, STA22M2


ECO 22M4 8 S E ECO11M1 ,ECO12M1



Numerical Methods

BMA22M2 OR

BMA32M1

16 S E BMA11M1, BMA12M2

BMA22M2, BMA21M1

Real Analysis II


Linear Algebra II

ATA31M2 16 S E MAT21M2,MAT22M2, MAT21M1

APM32M1 16 S E MAT21M1, MAT21M2, MAT22M1, MAT22M2, APM22M1, APM21M1

Database CSI32M1 14 S C CSI22M2,


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



Management Systems

CSI22M1, CSI21M1

Software Engineering II

CSI32M2

14

S C CSI31M2

4.2.9.7.3.1 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)

1 F=Foundation, C=Core , E=Elective

Year Level

Semester Module Name CODE CREDITS S/Y F/C/E PRE-REQUISITE

1 A 1 Computer Science Fundamentals

ECSI1M1 16 S C Admission Requirements

Integrated Maths I EMAT1M1 16 S C Admission Requirements

Life Skills I ELSK1M2 8 Y F Admission Requirements

Academic Literacy I EACL1M1 8 S F Admission Requirements

ELECTIVES

1 A 1 Mathematical Methods I EAPM1M1 16 S E Admission Requirements

Integrated Statistics I ESTA1M1 16 S E Admission Requirements

Extended General Physics EXGP1M1 16 S E Admission Requirements

Year Level

Semester Module Name CODE CREDITS

S/Y F/C/E

PRE-REQUISITE

1A 2 Introduction to Programming I

ECSI1M2 16 S C Admission Requirements


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



Integrated Maths II EMAT1M2 16 S C Admission Requirements

Academic Literacy I ACL1212 8 S F Admission Requirements

ELECTIVES

1A 2 Mathematical Methods II EAPM1M2 16 S E EAPM1M1

Integrated Statistics II ESTA1M2 16 S E Admission Requirements

Extended General Physics II EXGP1M2 16 S E Admission Requirements

Year Level

Semester Moule Name Moule Code CREDITS

S/Y F/C/E PRE-REQUISITE

1B 1 Introduction to Computer Architecture

EICA1M1 16 S C ECSI1M1

Integrated Maths III EIMT1M1 16 S C MAT111

Plus any two electives

ELECTIVES

Extended General Physics III

EGPY1M2 16 S E EMAT1M2, EMAT1M1, EXGP1M2 ,EXGP1M1

Mathematical Methods III

EXMM1M1 16 S E EAPM1M2

EIST1M1 16 S E ESTA1M2

Intro to Macroeconomics OR

Intro to Business

ECO11M1

BMA11M1

16 S E Admission Requirements


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



Management

Year Level Semester Moule Name Moule Code

CREDITS S/Y F/C/E

PRE-REQUISITE

1b 2 Intro to Programming II EIPR1M2 16 S C ECSI1M2

Integrated Maths IV EIMT1M2 16 S C EIMT1M1

Plus any two electives

ELECTIVES

Extended General Physics IV

EGPH1M2 16 S E EMAT1M2, EMAT1M1, EXGP1M2 ,EXGP1M1

Mathematical Methods IV EMAM1M2 16 S E EXMM1M1

Integrated Statistics IV EIST1M2 16 S E EIST1M1

ECO12M2

BMA12M2

16 S E ECO11M1

BMA11M1

Legend: Y: Year S: Semester F: Foundation C: Core E: Elective

STUDY LEVEL 2: SEMESTER 1

As for 2-year Main Stream programme


As for 3-year programme

Students are encouraged to take CSI12M3 as an elective


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




As for 3-year programme in 3nd year Level


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 Distribution of Credits Over the Levels

Study Level 1A: 60. (NQF level 5) Study Level 1B: 60. (NQF level 5) Study Level 2: 120. (NQF level 6) Study Level 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

Applied Statistics I APS11M1 16 I 1

FBML, FNS, EDUCATION

Applied Statistics II APS12M1 16 I 2 FBML, FNS, FEDS

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 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 Career Opportunities

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. 4.2.11.2 Minimum Admission Requirements

4.2.11.2.1 Bachelor of Science Honours

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 ATA31M2

Classical Analysis MAT4102 24 MAT31M1

Functional Analysis

MAT4103 24 MAT31M1

General Topology MAT4104 24 MAT31M1


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



Group Theory MAT4105 24 MAT31M1, ATA31M2

Measure Theory MAT4106 24 MAT31M1

Ring Theory MAT4107 24 MAT31M1, ATA31M2

Differential Equations

MAT4108 24 MAT22M1

Research Project (Compulsory)

MAT4109 30 Admission Requirements


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


4.2.11.3 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 Moule Code Credits Prequisition Code

Advanced Probability and distribution theory

STA 40M1 24 STA 21M1 & LinerModel & Multivariable Distribution Theory

STA31M1

Advanced Parametric statistical inference

STA40M2 24 STA 22M2 & LinerModel & Multivariable Distribution Theory

STA31M1


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



Advanced sampling theory & methods

STA40M3 24 LinerModel & Multivariable Distribution Theory

STA31M1

Advanced design and analysis of experiments

STA40M4 24 Sampling Theory Methods STA32M3

Advanced general linear model


STA31M1

Advanced Analysis of contingency tables


STA31M1

Advanced nonparametric statistical inference


STA31M1

Advanced Multivariate distribution theory


STA31M1

Advanced special topics: Time series analysis

STA40M9 24 Stochastic Processes & Time Series Forecasting

STA32M2

Honours project (compulsory)

STA40M 32


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


4.2.11.4 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 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.


Module Name Modul Code Credits Semester Course Type Pre-requisites

Research Project CSH42M0 30 1&2 Core Admission Requirements

Advanced OO Design and Programming

CSH41M1 15 1 Elective Admission Requirements

Advanced Data Communications and Networking

CSH41M2 15 1 Elective Admission Requirements

Research Methodology CSH41M4 15 1 Core Admission Requirements

Web Engineering CSH41M3 15 1 Elective Admission Requirements

Artificial Intelligence CSH42M2 15 2 Elective Admission Requirements

Database Systems CSH42M4 15 2 Elective Admission


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




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


4.2.11.5 Masters Programmes

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

Programmes offered Duration

Full-time

Duration

Part-time

MSc Mathematics 2yrs 4 yrs

MSc Applied Mathematics 2yrs 4 yrs

MSc Statistical Science 2yrs 4 yrs

MSc Computer Science * 2yrs 4 yrs

*Currently not offered.

Vertical

Vertical Articulation is possible with: PhD Mathematics, NQF Level 10

Horizontal

Within WSU

Requirements

Advanced Enterprise Java CSH42M1 15 2 Elective CSH41M1

Advanced Algorithms and Data Structures

CSH42M3 15 2 Core CSH41M1


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



Horizontal Articulation is possible with NQF Level 9 qualifications offered by WSU.

Other Universities


4.2.12 Syllabi Details for all Courses

4.2.12.1 Syllabi of Courses: Extended Programmes

Module Code Module Name NQF Level Credits Semester

EAPM1M1 Mathematical Methods I 5 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 50 min 13 160

Content / Syllabus

1. Coordinate Systems: Review of Coordinate Systems in 2 and 3 dimensions 2. Vectors: Introduction to vectors, Vector Operations, The Dot Product, The Cross

Product, Applications to Coordinate Geometry and Mechanics 3. Laboratory Work on Vectors 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%.


EAPM1M2 Mathematical Methods II 5 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 50 min 13 160

Content / Syllabus

1. Matrix Theory: Matrices and Matrix Operations, Determinants, Inverses. 2. Systems of Linear Equations: Introduction to Systems of Linear Equations,

Gaussian Elimination, Gauss-Jordan Elimination, Systems of Equations and Invertibility,

3. Laboratory Work on Linear Algebra with MATLAB


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





EXMM1M1 Mathematical Methods III 5 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 50 min 13 160

Content / Syllabus

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 Series-Parallel and Bridge Circuits, Postulates of Switching Circuits, Boolean Identities, Identity Elements, Inverses, and Cancellations.

8. Laboratory Work on Discreet Mathematics 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%.


EMAM1M2 Mathematical Methods IV 5 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 50 min 13 160

Content/ Syllabus

1. Linear programming: Introduction, LP Models, The Diet Problem, The Work- Scheduling 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 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%.


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




EMAT1M1 Integrated Mathematics I 5 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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)

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%.


EMAT1M2 Integrated Mathematics II 5 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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



EIMT1M1 Integrated Mathematics III 5 16 1

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Intergration and its rules, areas, volumes and rotations of curves, Differential Equations


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



Syllabus (first order, first degree).



EIMT1M2 Integrated Mathematics IV 5 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

Mathematical Induction: Principle of Mathematical Induction and its applications to standard proofs Sequences and Series: Arithmetic and Geometric sequences and series; Power series expansions; Taylor &Maclaurin series; Binomial series Complex Numbers: Cartesian and Polar co-ordinates and the conversion from one co-ordinate 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



ESTA1M1 Integrated Statistics I 5 16 1

Lectures per week

Pracs per week Tutorials per week Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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.


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





ESTA1M2 Integrated Statistics II 5 16 2

Lectures per week


Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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



EIST1M1 Integrated Statistics III

5 16 1

Lectures per week Pracs per week Tutorials per week Number of weeks Notional hours

4 x 50 min 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 .



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EIST1M2 Integrated Statistics IV

5 16 2


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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. Curvilinear regression, significance tests in simple linear regression. Introduction to non-parametric tests. The sign test, Wilcoxon's paired-sample test, Mann Whitney U-test



ECSI1M1 COMPUTER SCIENCE FUNDAMENTALS

5 16 1

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.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

and progression

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 (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 overall assessment of between 40 and 49%.


ECSI1M2 Introduction to Programming 1

5 16 2



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.


Assessment

and progression

rules

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).

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%.


Module Code Module Name NQF Level

Credits Semester

EICA1M1 Introduction to Computer Architecture

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 2 groups)

14 112

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.


Assessment

and progression

rules

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



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




Credits Semester

EIPR1M2 Introduction To Programming II

5 16 2


Number of weeks

Notional hours

2 x 2 hrs 1 x 3 hrs(x 2 groups) 2 x 2hrs (x 2 groups)

14 154

Content / Syllabus

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

Assessment

and progression

rules

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



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.


APM11M1 INTRODUCTION TO LINEAR AND VECTOR ALGEBRA

5 16 1

Lectures/ week Pracs/ week Tutorials/ week No. of weeks Notional hours

4 x 50 min 1 x 100 min 13


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



Content / Syllabus

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%.



5 16 2


4 x 50 min 1 x 100 min 13

Content / Syllabus

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 Work-Scheduling 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.



APM21M1 Numerical Analysis I

6 16 1


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




4 x 50 min 1 x 100 min 13

Content / Syllabus

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



APM22M1 Eigen-Value Problems and Fourier Analysis

6 16 1

Lectures per week Pracs per week Tutorials per week Number of weeks

Notional hours

4 x 50 min 1 x 100 min 13

Content / Syllabus

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: Sturm-Liouville Equation eigenfuctions& corresponding eigenvalues of Sturm-Liouville problem, Sturm-Liouville problem for equation y¢¢+ly =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




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



APM22M2 Mechanics I 6 16 1


4 x 50 min 1 x 100 min 13

Content / Syllabus

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

7 16 1


4 x 50 min 1 x 100 min 13

Content / Syllabus

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).



APM32M1 Mathematical Programming

7 16 2


4 x 50 min 1x 100 min 13

Content / Syllabus

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.



MAT11M1 Precalculus & Calculus I

5 16 1


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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.



MAT12M1 Precalculus & Calculus II

5 16 2


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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).



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




MAT21M1 Multivariate Calculus

6 8 1


2 x 50 min 1 x 50 min 13 80

Content / Syllabus

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.



MAT21M2 REAL ANALYSIS I 6 8 2


2 x 50 min 1 x 50 min 13 80

Content / Syllabus

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.




6 8 1




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



2 x 50 min 1 x 50 min 13 80

Content / Syllabus

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.



MAT22M2 Linear Algebra I 6 8 2



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.



MAT31M1 Real Analysis II 7 16 1


2 x 50 min 2x 50 min 13 160

Content / Syllabus

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.




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



MAT31M2 Linear Algebra II

7 16 1


2 x 50 min 2 x 50 min 13 160

Content / Syllabus

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.



ATA31M2 Abstract Algebra 7 16 2


2 x 50 min 2x 50 min 13 160

Content / Syllabus

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.



MAT32M2 Complex Analysis

7 16 2


2 x 50 min 2x 50 min 13 160

Content / Syllabus

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

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%.


STA11M1 Probability & Distribution Theory 1

5 16 1


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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.



STA12M2 Statistical Inference I

5 16 2


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

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


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





STA21M1 Probability & Distribution Theory II

6 16 1


4 x 50 min 1 x 100 min 13 160

Content / Syllabus

Combinatorial analysis, axioms of probability, conditional probability and stochastic inde-pendence. 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, De-Moivre-Laplace theorem. Poisson approximation to the binomial distribution.



STA22M2 Statistical Inference II

6 16 2


4 x 50 min 1x 100 min 13 160

Content / Syllabus

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 regression and correlation. Introduction to time series forecasting


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





STA31M1 Multivariable Distribution Theory & Linear Models

7 16 2


Number of weeks

Notional hours

4 x 50 min 1x 100 min 13 160

Content / Syllabus

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.



STA32M2 Time Series & Stochastic Processes 7 16 2


Number of weeks

Notional hours

4 x 50 min 1x 100 min 13 160

Content / Syllabus

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-


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



sonal variation; the use of regression models. Application of forecasting techniques.



Number of weeks

Notional hours


14 84

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

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). Re-examination (Not compulsory): To qualify for re-examination students must obtain an overall assessment of between 40 and 49%.


CSI 11M1 Introduction to Information Systems and Application

5 8 1


Number of weeks

Notional hours

1 x 2 hrs 1x2hrs 2 x 2hrs (x 2 groups)

14 84

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

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


Assessment

and progression

rules

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




CSI 12M1 Introduction to Object Oriented Programming

5 8 2


Number of weeks

Notional hours

1 x 2 hrs 1 x 3 hrs( x 2 groups) 1 x 1hrs (x 2 groups)

14 84

Content / Syllabus

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


Assessment

and progression



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



rules





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



CSI 11M2 Problem Solving 5 8 1


Number of weeks

Notional hours


14 84

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

CSI 12M2 Time Series & Stochastic Processes 5 8 2


Number of weeks

Notional hours

1 x 2 hrs 2 x 2hrs (x 2 groups)

14 84

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.


Assessment

and progression

rules

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




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



Structures, Relational Operators, Logical Operators and logical Expressions, Selection: if and if ….else

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


Assessment

and progression

rules





Credits Semester

CSI 21M1 Programming In Java & Networking

6 14 1


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

and progression

rules

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%.


Moule Code Module Name NQF Level

Credits Semester

CSI 21M2 Data Communications

6 14 1


Number of weeks

Notional hours

1 x 2 hr 1 x 2 hr 14 140

Content / Syllabus

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, Inter-network 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

and progression

rules



Re-examination (Not compulsory):


Credits Semester

CSI 22M1 Operating Systems 6 14 1

Lectures 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

and



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




Credits Semester

CSI 22M2 Data Structures 6 14 1


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

and progression

rules




progression

rules




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




Credits Semester

CSI31M1 Introduction to Artificial Intelligence

6 14 1


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

and progression

rules

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%.



CSI31M2 Software Engineering 1 6 14 1


Number of

Notional hours


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



weeks

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

and progression

rules

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).



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.


Credits Semester

CSI32M1 Database Management Systems

7 14 1


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



Lectures 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.


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

Assessment

and progression

rules





Credits Semester

CSI32M2 Software Engineering II 7 14 1


Number 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.


Entry Rules Applicant must have Passed all Second Year Modules, CSI31M1

Assessment

and progression

rules




4.2.12.3 Syllabi of Courses: Honours Programmes


MAT4101 Algebra 8 24 1


4 x 50 min 1x 100 min 13

Content / Syllabus

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 8 24 1


4 x 50 min 2 x 50 min 13

Content / Syllabus

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



MAT4103 Functional Analysis

8 24 1


4 x 50 min 2 x 50 min 13

Content / Syllabus

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.



MAT4104 General Topology

8 24 1


4 x 50 min 2 x 50 min 13

Content / Syllabus

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


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





MAT4105 Group Theory 8 24 1


2 x 50 min 1 x 50 min 13

Content / Syllabus

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.



MAT4106 Measure Theory 8 24 1


4 x 50 min 2 x 50 min 13

Content / Syllabus

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.



MAT4107 Ring Theory 8 24 1


4 x 50 min 2 x 50 min 13

Content / Isomorphism theorems, embedding theorems, polynomial rings, the division algorithm, unique factorisation domains, Euclidean domains, radical theory in commutative rings, theory of finite


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



Syllabus

fields, Galois theory.



MAT4108 Differential Equations

8 24 1

Lectures per week


Notional hours

4 x 50 min 2 x 50 min 13

Content / Syllabus

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.



STA4001 Advanced Probability and distribution theory

8 24 1

Lectures per week


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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; 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

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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 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%.


STA4003 Advanced sampling theory and methods

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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.



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




STA4004 Advanced design and analysis of experiments

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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



STA4005 Advanced general linear model 8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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



STA4006 Advanced Analysis of contingency tables

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / 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,


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



Syllabus

Log-linear models for contingency tables.



STA4007 Advanced nonparametric statistical inference

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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.



STA4008 Advanced Multivariate distribution theory

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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.



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




STA4009 Advanced special topics: Time series analysis

8 24 1


Number of weeks

Notional hours

2 x 50 min 1 x 50 min 13

Content / Syllabus

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.



STA4010 Honours project (compulsory)

Advanced special topics: Time series analysis

8 32 1


Notional hours

2 x 50 min 1 x 50 min 26

Content / Syllabus

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%.


CSH4203 Advanced Algorithm and Data Structure

8 15 1

Lectures per week


Notional hours

3 x 50 min 1 x 3 hrs 1 x 50 min 15 150

Content / Syllabus

Theory:


Entry Rules Applicant must have relevant programming experience at undergraduate level

Assessment

and progression

rules



Re-examination (None)




CSH41M3 Web Engineering 8 15 1


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




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.



Assessment

and progression

rules







CSH42M0 Research Project 8 30 1


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




Notional hours

1 x 50 min 30 300

Content / Syllabus

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

and progression

rules

Examination (None): Continuous Assessment (CA) (Compulsory): Two Seminar Presentation, One oral and system demonstration. Final Research Report. To qualify for course credit students must obtain an overall assessment of 50%.





CSH41M4 Research Methodology 8 15 1


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


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




Entry Rules Administration requirements.

Assessment

and progression

rules

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






CSH42M1 Advanced Enterprise Java 8 15 1

Lectures 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



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




Assessment

and progression

rules

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).


Re-examination (None):




CSH42M4 Database Systems 8 15 1


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


Entry Rules Applicant must have done an undergraduate Database Management Course

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


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



and progression

rules

and a re-examination (RA).






CSH41M1 Advanced Object-Oriented Programming and Design

8 15 1

Lectures 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 object-oriented 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.



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%.



CSH41M2 Advanced Data Communications and Networking

8 15 1

Lectures 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.



Assessment

and progression

rules







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




CSH42M2 Artificial Intelligence 8 15 1

Lectures 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



Assessment

and progression

rules






4.2.12.3 Syllabi of Service Modules


SPM11M1 Special Mathematics I 5 16 1

Lectures per week


Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Sets and basic notations, subsets and counting, operations on sets, Venn diagrams, introduction to counting numbers, integers, rational numbers, irrational numbers.


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



Syllabus

Addition, subtraction, multiplication and division of algebraic expressions, factors and factoring, simplification of fractions, integral and zero exponents, radicals. Definitions and examples of linear and quadratic functions and their graphs, solutions of a system of linear equations in two and three variables, solutions of quadratic equations, solutions of equations containing- radical signs, absolute values and equations in quadratic form, solution of a system of one linear and one quadratic equations, solutions of inequalities – linear, quadratic, rational and absolute values. Matrices and their basic properties, determinants of orders two and three matrices, solutions of systems of linear equations containing two or three unknowns using Cramer’s rule, inverse of a 2X2 matrix and its use to solve systems of linear equations with two variables. Permutations, combinations and Binomial Theorem.



APS12M1 Special Mathematics II

5 16 1

Lectures per week


Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

Definition and examples of exponential and logarithmic functions, graphs of exponential and logarithmic functions, exponential and logarithmic equations and their solutions. Analytic geometry of straight line and circle. Plane trigonometry, laws of sines and cosines and the solutions of triangles. Limits, derivative and its geometric interpretation, differentiation of polynomials and rational functions. Arithmetic and geometric sequences and series. Fractions, percentages, simple and compound interest. Linear inequalities and linear programming.



APS11MM1 Applied Statistics

5 16 1


Notional hours


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



4 x 50 min 1 x 100 min 13 160

Content / Syllabus

INTRODUCTION :Introduction to statistical concepts, Different kind of variables

COLLECTION OF DATA: Population and Sample, Data Types – Discrete and Continuous, Method of collecting data. PRESENTATION OF DATA: Frequency Distribution, Construction of Frequency Tables, Construction of Cumulative Frequency Tables, Graphical Representation of Distribution (Histogram, Ogive , Bar chart, Pie chart. MEASURES OF LOCATION AND DISPERSION: 1. Central Location (grouped and ungrouped data), Mean, Median, and Mode. 2 Measures of Dispersion (grouped and ungrouped data) Range, Interquartile Range, Mean Deviation, Quartile Deviation, Standard Deviation. CHEBYSHEV’S RULE. PROBABILITY: Basic Probabilities namely, Definition, Properties of probability, Probability concepts, Glossary probability terms and venn diagrams, Counting rules ,Law of total probability, Baye’s theorem, Mathematical Expectation, Probability Distribution- Binomial, Poisson, Hypergeometric, Uniform, and Normal. INDEX NUMBERS: Price index , Laspeyre's price index, Paasche's price index, Quantity index, Laspeyre's quantity index and Paasche's quantity index



APS12MM1 Applied Statistics 5 16 1

Lectures per week

Pracs per week Tutorials per week Number of weeks Notional hours

4 x 50 min 1 x 100 min 13 160

Content / Syllabus

REGRESSION ANALYSIS: Scatter diagrams, Linear Regression and Method of Least Squares

CORRELATION ANALYSIS: Pearson’s Correlation Coefficients and Determination

TIME SERIES: Definition, Components of time series, Trend analysis, Seasonal Analysis

SAMPLING DISTRIBUTION: Sampling and Sampling methods, Sampling distribution of the single sample statistic, Mean and Proportion. Confidence Interval Estimate for single population parameter Mean and Proportion. Confidence Interval Estimate for difference between two parameters that is Two population means and Two population proportions. HYPOTHESIS TESTING: Procedures in hypothesis testing, Test for Single population mean, Single population proportion, Difference between two population means, Difference between two population proportions, Population variance, Equality of variances, The Chi-Squared Test ,Goodness of fit, Test for independence and ANOVA


MODULES OFFERED BY PLATO CENTRE


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




CLT 11M1 Computer literacy

5 08 1

Lectures per week

Only for Concepts of Information

Technology Module


4 x 45 min

4 x 45 min 13 80

Content / Syllabus

Concepts of Information Technology

File Management

Ms Word

Ms Excel



CLT 12M2 Computer literacy

5 08 2

Lectures per week


4 x 45 min 13 80

Content / Syllabus

Ms PowerPoint

Ms Access

Internet



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




BOP 16M1 Computer and graphical communication

5 8 1

Lectures per week


Technology Module


6 x 45 min 6 x 45 min 13 80

Content / Syllabus


File Management

Ms Word

Ms Excel

Ms Powerpoint

Ms Access

Internet



HIN 11Z0 Hospitality information systems 5 06 1 & 2

Lectures per week : Only for Concepts of

Information Technology Module


Number of weeks

Notional hours


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



2 x 45 min 2 x 45 min 26 60

Content / Syllabus

Concepts of Information Technolog5y

File Management

Ms Word I

Ms Excel I

Assessment Continuous assessment (Tests based on all the 4 modules). A student must obtain 50% and above in all the tests in order to pass the module.


HIN 21Z2 HOSPITALITY INFORMATION SYSTEMS

5

06 2

Lectures per week


Number of weeks

Notional hours

3 x 45 min 13 60

Content / Syllabus

Ms Word II

Ms Excel II

Ms PowerPoint

Internet

Assessment Continuous assessment (3 Tests based on Ms Word II, Ms Excel II and Powerpoint). A student must obtain 50% and above in all the 3 tests in order to pass the module.


HIN 31Z1 Hospitality information systems 5

06 2

Lectures per week


Number of weeks

Notional hours


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



3 x 45 min 13 60

Content / Syllabus

Databases : Ms Access

1. DatabaseConceptsandgettingstartedwithAccess :Planningastructure,Fieldnames,Datatypesandfieldwidths,Fieldproperties,primarykey,Screenlayout,Databasewindow,Databaseobjectsandviews,Creatingandsavingadatabasefile

2.Creatingandmodifyingtables:Enteringrecordsonadatasheet,Switchingbetweendesignviewanddatasheetview,Correctingerrors3.Tablerelationships:Relationaldatabase:Displayrelationships,Relationshiptypes,Creatingrelationshipsbetweentables:one-oneandonetomany,EnforcingReferentialintegrity,Deleterelationships,Editingrelationships4.Creatingandmodifyingforms:Creatingforms,Movingbetweendifferentviews,Modifyingformlayout:formdesignview,InsertingImage/graphicsinaform

5.Retrievinginformation:Find/search;filter,Queries,Characteristicsofqueries,typesofqueries,Calculationsinaquery

6.Reports:Creatingareportusingreportwizards,Editingreports,deletingareport

7.Prepareoutputs:Preparation,Printing

Assessment Continuous assessment (Test, Marked Class Exercise & and an Assignment). A student must obtain 50% and above in all the 3 tasks in order to pass the module.


CNN12M2 Communication & computer skills

5

8 2

Lectures per week


Technology Module


Number of weeks

Notional hours

4 x 45 min 4 x 45 min 13 80

Content / Syllabus


File Management

Ms Word

Ms Excel


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



Ms Powerpoint

Ms Access

Internet

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


COL51M1 Computer literacy 5 08 1

Lectures per week


Technology Module


Number of weeks

Notional hours

4 x 45 min

4 x 45 min 13 80

Content / Syllabus


File Management

Ms Word

Ms Excel

Ms Power Point

Internet



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



4.3 DEPARTMENT OF CHEMICAL AND PHYSICAL SCIENCES 4.3.1 Information about the Department The Department offers undergraduate and postgraduate 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 students society. 4.3.5 Programmes in the Department Bachelor of Science (Chemistry)

Bachelor of Science Honours (Chemistry)

Master of Science (Chemistry)

4.3.6 Purpose of Qualification

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 phenomena. 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)

The 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 Career Opportunities

Chemical, agricultural, pharmaceutical, mining and textile industries. 4.3.9 Exit Level Outcomes of the Programme


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


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


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 Programme Information

4.3.10.1 Minimum Admission Requirements

4.3.10.1.1 Bachelor of Science (Chemistry)

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.

4.3.10.1.2 Bachelor of Science Honours (Chemistry)

Bachelor of Science in Chemistry or equivalent qualification.


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



4.3.10.1.3 Master of Science (Chemistry)

Bachelor of Science Honours (Chemistry) or equivalent qualification. 4.3.10.1.4 4.3.11 Undergraduate Programmes and General Programme Rules


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.


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.


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


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. 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

A minimum of 480 credits in approved programme modules passed at 50% or better.

4.3.13.2 BachelorofSciences(Chemistry)

A minimum of 360 credits in approved programme modules passed at 50% or better.


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



4.3.13.3 BachelorofScienceHonours(Chemistry)

A minimum of 120 credits in approved programme modules passed at 50% or better; including the project.


Presentation of research proposal at a 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 Bachelor of Science in Chemistry

BSc Honours (Chemistry).


Master of Science in Chemistry.


4.3.14.4 Docter of Philosophy

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: BSc Chemistry Extended Programme Curriculum

Year Level

Semester Course type

Course Code Credits

1

1

Foundation General Study Skills I Computer Literacy

GSS1111 CLT 11M1

8 8

Extended General Chemistry I ECHE1M1 16

Integrated Mathematics I EMAT1M1 16

Extended General Physics I EXGP1M1 16

Extended General Chemistry III ECHE1M3 16

Integrated Mathematics III MAT1113 16

Extended General Physics III EGPY1M2 16


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



Year Level

Semester Course type

Course Code Credits

Foundation English for Academic Purposes ELS1205 8

Elective Applied Statistics APS11M1 16

2

Extended General Chemistry II ECHE1M2 16

Extended General Chemistry IV ECHEIM4 16

Integrated Mathematics IV EIMT1M2 16

Extended General Physics IV EGPH1M2 16

Foundation General Study skills GSS1212 8

Computer literacy CLT1102 8

Elective Applied Statistics APS12M2 16

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


Table 2: BSc Chemistry 3 year Programme Curriculum

Year Level

Semester Course Code Credits

1


1

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


2 General Chemistry II CHE12M1 16 Pre-calculus and calculus II MAT12M1 16 General Physics II PHY12M2 16

2b 3 Analytical Chemistry II CHE21M2 16 Physical Chemistry II CHE21M5 16 Multivariate Calculus MAT21M1 8


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



Year Level

Semester Course Code Credits

Real Analysis I MAT21M2 8 Mechanics and Waves PHY21M1 16

4

Inorganic Chemistry II CHE22M3 16 Organic Chemistry II CHE22M4 16 Ordinary Differential Equations MAT22M1 8 Linear Algebra I MAT22M2 8 Thermodynamics and Modern Physics PHY22M2 16

3c

5 Inorganic Chemistry III CHE31M3 16 Organic Chemistry III CHE31M4 16

6 Analytical Chemistry III CHE32M2 16 Physical Chemistry III CHE32M5 16 Research, Report and Seminar CHE31M1 16

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 Prerequisite

Analytical Chemistry II General Chemistry Level I

Mathematics AND Physics Level I Physical Chemistry II Inorganic Chemistry Organic Chemistry II Inorganic Chemistry III Inorganic Chemistry Level II

Mathematics AND/OR Physics

Organic Chemistry III Organic Chemistry Level II Analytical Chemistry III Analytical Chemistry Level II Physical Chemistry III Physical Chemistry Level II


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



Module/Course name Prerequisite

Research, Report and Seminar

All prescribed Chemistry module/courses Level II

Level II

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

Year Level Semester Course Code Credits

1

1 Organic Chemistry IV CHE42M4 1 Physical Chemistry IV CHE42M5 16

2

Inorganic Chemistry IV CHE41M3 16 Analytical Chemistry IV CHE41M2 16 Honours Dissertation & Research CHE42M8 64


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 BSc Chemistry (3 year Programme)

Year Level Module type Module Name Module Code

Credits

1 Core Module

GENERAL CHEMISTRY I CHE11M1 16

GENERAL CHEMISTRY II CHE12M1 16

PRECALCULUS & CALCULUS I MAT11M1 16


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



PRECALCULUS & CALCULUS II MAT12M1 16

GENERAL PHYSICS I PHY11M1 16

GENERAL PHYSICS I PHY12M1 16

COMPUTER LITERACY CLT11M1 8

COMPUTER LITERACY CLT12M2 8

COMMUNICATION SKILLS COK11M0 8

Total credits 120

1 ELECTIVES

PLANT FORM & FUNCTION BSP11M1 8

ANIMAL FORM & FUNCTION BSP11M2 8

ANIMAL DIVERSITY EADI1M1 8

CELL BIOLOGY, & GENETICS DEVELOPMENT

BSP12M2 16

PLANT DIVERSITY BSP12M4 8

INTRODUCTION TO ENVIRONMENTAL TECHNIQUES

GEO11M1 16

INTRODUCTION TO ENVIRONMENTAL TECHNIQUES

GEO12M1 16

INTRODUCTION TO PHYSICAL ENVIRONMENT

GEO11M2 16

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

Year Level Module type


Credits


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



2

Core Modules

ANALYTICAL CHEMISTRY II CHE21M2 16

PHYSICAL CHEMISTRY II CHE21M5 16

INORGANIC CHEMISTRY II CHE22M3 16

ORGANIC CHEMISTRY II CHE22M4 16

MULTIVARIATE CALCULUS MAT21M1 8

ORDINARY DIFFERENTIAL EQUATIONS MAT22M1 8

LINEAR ALGEBRA I MAT22M2 8

Total credits 88

2 ELECTIVES MECHANICS AND WAVES PHY21M1 16

THERMODYNAMICS, ATOMIC AND NUCLEAR

PHY22M2 16

REAL ANALYSIS I MAT21M2 8

BIOCHEMISTRY BSP22M4 16

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


Credits

3 Core Module

SEMINAR/PRACTICAL PRESENTATION CHE31M1 16

INORGANIC CHEMISTRY CHE31M3 16

ORGANIC CHEMISTRY CHE31M4 16

ANALYTICAL CHEMISTRY CHE32M2 16

PHYSICAL CHEMISTRY CHE32M5 16


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



Total credits 80


Credits

3 ELECTIVES

ELECTROMAGNETISM & QUANTUM MECHANICS

PHY31M1 24

SOLID STATE & STATS PHYSICS PHY32M2 24

REAL ANALYSIS II MAT31M1 16

LINEAR ALGEBRA II MAT31M2 16

ABSTRAC ALGEBRA MAT32M1 16

COMPLEX ANALYSIS MAT32M2 16

GEOGRAPHICAL INFO SYSTEMS GEO31M1 16

GEOGRAPHICAL INFO SYSTEMS GEO32M1 16

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


Year Level CORE MODULES MODULE DESCRIPTION/ SEMINAR/PRESENTATION

CORE MODULES credits

4 SEMINAR/PRESENTATION ANALYTICAL CHEMISTRY

CHE41M1 16


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



ANALYTICAL CHEMISTRY INORGANIC CHEMISTRY

CHE42M2 16

INORGANIC CHEMISTRY ORGANIC CHEMISTRY

CHE41M3 16

ORGANIC CHEMISTRY PHYSICAL CHEMISTRY

CHE41M4 16

PHYSICAL CHEMISTRY PROJECT/DISSERTATION

CHE42M5 40

PROJECT/DISSERTATION CHE42M8 CHE42M8

Total credits 120

4.3.17.2 Programmes Detailed Curricula

4.3.17.2.1 General Chemistry Detailed Curriculum


CHE11M1 GENERAL CHEMISTRY I 5 16 1

Contact hours Lectures/Tutorials per week Practicals per week

Number of weeks

Notional hours

5 (4 lectures + 1 tutorial) 1(3 hours) 12 160

Content or Syllabus

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

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 and Learning and Teaching Number Hours Total


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



Teaching Breakdown

Session

Lectures & Tutorials (4L + 1T)

12 5 60

Practicals 12 3 36

Total 96

Assessment

Breakdown

Assessment Sessions Number Hours Total

Tests 2 2 4

Assignments 2

Practical reports 12

Examination 1 3 3

Supp-examination 1 3 3

Total 7

Projected self study time breakdown

Self study Sessions Number Hours Total

Private study 57

Grand Total 160

Continuous Assessment (CA)

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 5 16 1


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




Number of weeks

Notional hours

5 (4 lectures + 1 tutorial) 1(3 hours) 12 160

Content or Syllabus

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

and

Teaching

Breakdown

Learning and Teaching Session

Number Hours Total

Lectures & Tutorials (4L + 1T)

12 5 60

Practicals 12 3 36

Total 96

Assessment

Breakdown


Tests 2 2 4

Assignments 2

Practical reports 12

Examination 1 3 3


Total 7


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





Private study (include assignments and self study)

57

Grand Total 160





4.3.17.2.2 Analytical Chemistry Detailed Curriculum

Module Code


CHE21M2 ANALYTICAL CHEMISTRY II 6 16 1


Number of weeks

Notional hours

4 hours (at least 1 hour tutorial) 6 hours 12 160

Content or Syllabus

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

and

Teaching

Breakdown


Number Hours Total

Lectures & Tutorials 12 4 48

*Practicals 6 6 36

Total 84

Assessment

Breakdown


Tests (All levels) 2 2 4

Assignments 2

Practical reports 6

Examination 1 3 3


Grand Total 7



Private study 69*

Grand Total 160






CHE32M2 ANALYTICAL CHEMISTRY III 7 16 2

Contact hours Lectures/Tutorials per week Pracs per week

Number of weeks

Notional hours


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




Content or Syllabus

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.

Module Outcomes

Learning

and

Teaching

Breakdown


Number Hours Total


Practicals 12 6 36

Total 84

Assessment

Breakdown


Tests 2 2 4

Assignments 2

Practical reports 6

Examination 1 3 3




Private study 59

Grand Total 160

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


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



Assessment (CA)



Module Code Module Name NQF Level Credits Semester CHE41M2 ANALYTICAL CHEMISTRY IV 8 16 1 Contact hours Lectures/Tutorials per week Practicals per

week Number of weeks Notional hours

3 lectures plus 1 tutorial/practical 16 180

Content or Syllabus

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 Teaching Breakdown

Learning and Teaching Session Number Hours Total Lectures & Tutorials/Pract 20 5 100 Total 100

Assessment Breakdown

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 Total 20


Self study Sessions Number Hours Total Private study 1 h a day every week for 12

weeks 60

Grand Total 180 Continuous Assignments 10%,Ttests: 40% and Laboratory Project+ practical mark 50%


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



Assessment (CA)

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

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 Inorganic Chemistry Detailed Curriculum


CHE22M3 INORGANIC CHEMISTRY II 7 16 1


Number of weeks

Notional hours

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



Number Hours Total


Practicals 12 6 72

Total 120

Assessment

Breakdown



Assignments 2

Practical reports 6

Examination 1 3 3


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




Grand Total 7



Private study 33

Grand Total 160




Examination Supplementary

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


CHE31M3 INORGANIC CHEMISTRY III 7 16 1


Number of weeks

Notional hours

4 hours (at least 1 hour tutorial): 6 hours 12 160

Content or Syllabus

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


Practicals 12 6 72

Total 120


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



Assessment

Breakdown



Assignments 2

Practical reports 6

Examination 1 3 3


Grand Total 7



Private study 33

Grand Total 160






Credits Semester

CHE41M3 INORGANIC CHEMISTRY IV 8 16 1


Number of weeks

Notional hours


Content or Syllabus

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



Number Hours Total


Total 48

Assessment

Breakdown



Assignments 2

Examination 1 3 3


Grand Total 7



Private study 33

Grand Total 160



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


4.3.17.2.4 Organic Chemistry Detailed Curriculum


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




CHE22M4 ORGANIC CHEMISTRY II 6 16 2


Number of weeks

Notional hours


Content or Syllabus

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

Breakdown


Number Hours Total


Practicals 12 6 72

Total 120

Assessment

Breakdown



Assignments 2

Practical reports 6

Examination 1 3 3


Grand Total 7



Private study 33

Grand Total 160


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








Credits Semester

CHE31M4 ORGANIC CHEMISTRY III 7 16 1


Number of weeks

Notional hours

6 hours (at least 1 hour tutorial)

6 hours 12 160

Content or Syllabus

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



Number Hours Total


Practicals 12 6 72

Total Year 120

Assessment Assessment Sessions Number Hours Total


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



Breakdown Tests 2 2 4

Assignments 2

Practical reports 6

Examination 1 3 3


Grand Total 7



Private study 33

Grand Total 160





4.3.17.2.5 Physical Chemistry Detailed Curriculum


CHE21M5 PHYSICAL CHEMISTRY II 6 16 1


Number of weeks

Notional hours

4 hours ( + at least 1 hour tutorial)

6 hours 12 160

Content or Syllabus

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. 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.



Number Hours Total


Practicals 12 6 72

Total 120

Assessment

Breakdown



Assignments 2

Practical reports 6

Examination 1 3 3


Grand Total 7



Private study 33

Grand Total 160


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








Credits Semester

CHE32M5 PHYSICAL CHEMISTRY III 7 16 1


Number of weeks

Notional hours

4 hours (+ at least 1 hour tutorial)

6 hours 12 160

Content or Syllabus

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 Thermodynamics of the rigid Rotor.

Learning

and


Number Hours Total



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



Teaching

Breakdown

Practicals 12 6 72

Total 120

Assessment

Breakdown

Assessment Sessions Number Hours

Tests (All levels) 2 2

Assignments 2

Practical reports 6

Examination 1 3

Supp-examination 1 3

Grand Total


Self study Sessions Number Hours

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 of at least 40% to qualify for a supplementary


CHE41M5 PHYSICAL CHEMISTRY IV 8 16 1


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




Number of weeks

Notional hours

4 hours ( + at least 1 hour tutorial)

6 hours 12 160

Content or Syllabus

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.

Learning and

Teaching

Breakdown


Number Hours Total


Total 60

Assessment

Breakdown



Assignments 2 4 8

Literature/Practical projects 2 5 10

Examination 1 3 3


Total 30



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 4.3.18.1 Purpose of Qualification

4.3.18.1.1 Bachelor of Science (Physics with Mathematics)

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 Bachelor of Science (Physics with Chemistry)

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 Bachelor of Science Honours (Physics)

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 Master of Science (Physics)

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.


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4.3.18.3 Career Opportunities Research in diverse institutions, education and industry. 4.3.18.4 Exit Level Outcomes of the Programme


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.


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.


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.


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 Programme Information 4.3.18.5.1 Minimum Admission Requirements

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 Bachelor of Science (Physics with Mathematics)

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 a 3 year B Sc degree, Certificate should indicate “qualified for degree” and include a minimum achievement rating of 4 starting from 55 % and above in English, Mathematics, Physical Science and in 2 other content subjects, preferably IT (CAT), etc. A certificate in Advanced Mathematics is optional.


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4.3.18.5.1.3 Bachelor of Science (Physics with Chemistry)

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 a 3 year BSc degree, Certificate should indicate “qualified for degree” and a minimum achievement rating of 4 starting from 55 % and above 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 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


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.


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


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.


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.


This is a one year course.


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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. 4.3.18.8.5 Doctor of Philosophy 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


1A

1 Extended General Physics I EXGP1M1 16 Integrated Mathematics I EMAT1M1 16 Computer Science Fundamentals ECSI1M1 16

Foundation Academic Literacy I EACL1M1 8

2

Extended General Physics II EXGP1M2 16

Integrated Mathematics II EMAT1M2 16 Introduction to programming I ECSI1M2 16

Foundation Academic Literacy II ACL1212 8 Life Skills ELSK1M2 8

1B 1 Extended General Physics III EGPY1M2 16 Integrated Mathematics III MAT1113 16 Introduction to Computer architecture CSI1113 16

Elective 16

2


Integrated Mathematics IV EIMT1M2 16

Introduction to programming II CSI1214 16

Elective 16 Electives for level 1B, Semesters 1 and 2


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Semester Module Name Module Code Credits 1 Probability & Distribution Theory I STA11M1 16

Introduction to Vector & Linear Algebra APM11M1 16 2 Statistical Inference I STA12M2 16

Linear Programming & Applied Computing APM12M1 16 4.2.9.1.2 BSc (Physics with Mathematics)

Year level


1 1 General Physics I PHY11M1 16 Pre-calculus and calculus I MAT11M1 16 Information Systems and Applications CSI11M1 8 Problem Solving CSI11M2 8 Communication Skills 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

Foundation Computer Literacy II CLT12M2 8


2 1 Mechanics and Waves PHY21M1 16 Multivariate Calculus MAT21M1 8 Ordinary Differential Equations MAT22M1 8

Elective 32 2 Thermodynamics and Modern Physics PHY22M2 16

Real Analysis I MAT21M2 8 Linear Algebra I MAT22M2 8

Elective 32 3 1 Electromagnetism and Quantum Mechanics PHY31M1 24

Linear Algebra II MAT31M2 16 Elective 32


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2 Statistical mechanics and Solid State Physics PHY32M2 24 Complex Analysis MAT32M2 16

Elective 16 Electives for level 2, Semesters 1 and 2


1 Probability & Distribution Theory I STA11M1 16 Introduction to Vector & Linear Algebra APM11M1 16 Data Communication & Networking CSI2102 14

2 Statistical Inference I STA12M2 16 Linear Programming & Applied Computing APM12M1 16 Data Structures CSI2202 14

Electives for level 3, Semesters 1 and 2


1

Numerical analysis 201 APM21M1 16 Real analysis II MAT31M1 16 Introduction to artificial intelligence CSI3101 14 Software engineering CSI3102 14 Probability distribution theory STA21M1 16

2

Eigen value problems APM22M1 16 Abstract Algebra MAT32M1 16 Database management systems CSI3201 14 Internet applications CSI3202 14 Statistical inference II STA22M2 16

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

Year level


1A 1 Extended General Physics I EXGP1M1 16 Integrated Mathematics I EMAT1M1 16


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Extended General Chemistry I ECHE1M1 16 Foundation Academic Literacy I EACL1M1 8

2 Extended General Physics II EXGP1M2 16 Integrated Mathematics II EMAT1M2 16 Extended Chemistry II ECHE1M2 16

Foundation Academic Literacy II ACL1212 8 Life Skills LSK1012 8

1B

1

Extended General Physics III EGPY1M2 16 Integrated Mathematics III EIMT1M1 16

Extended General Chemistry III ECHE1M3 16

Foundation Computer Literacy I CLT1111 8

Elective 16

2


Integrated Mathematics IV EIMT1M2 16 Extended General Chemistry IV ECHE1M4 16

Foundation Computer Literacy II CLT1212 8 Electives for level 1B, Semester 1

Semester Module Name Module Code Credits 1 Probability & Distribution Theory I STA11M1 16 1 Introduction to Vector & Linear Algebra APM11M1 16

4.3.18.10.1.2 Bachelor of Science (Physics with Chemistry)

Year level


1 1

General Physics I PHY11M1 16 Pre-calculus & Calculus I MAT11M1 16 General Chemistry I CHE11M1 16

Foundation Computer Literacy CLT11M1 8 Communication Skills COK11M0 8


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2 General Physics II PHY12M2 16 Pre-calculus & Calculus II MAT12M1 16 General Chemistry II CHE12M1 16

Foundation Computer Literacy CLT12M2 8

English for Academic purposes II ELS1205 8

2 1

Mechanics and Waves PHY21M1 16 Multivariate Calculus MAT21M1 8 Ordinary Differential Equations MAT22M1 8 Physical Chemistry II # CHE21M5 16

Elective 16

2

Thermodynamics and Modern Physics PHY22M2 16 Real Analysis I MAT21M2 8 Linear Algebra I MAT22M2 8 Inorganic Chemistry II # CHE22M3 16

Elective 16

3

1 Electromagnetism and Quantum Mechanics PHY31M1 24

Inorganic Chemistry III # CHE31M3 16 Elective 32

2 Statistical mechanics and Solid State Physics PHY32M2 24 Physical Chemistry III # CHE32M5 16

Elective 16 Electives for level 2, Semesters 1 and 2


1

Probability & Distribution Theory I STA11M1 16 Introduction to Vector & Linear Algebra APM11M1 16 Introduction to Info. Systems CSI11M1 8 Problem solving CSI11M2 8



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2

Statistical Inference I STA12M2 16 Linear Programming & Applied Computing APM12M1 16 Introduction to Programming CSI12M1 8 Computer Org. & Architecture CSI12M2 8 Organic Chemistry II CHE22M4 16

Electives for level 3, Semesters 1 and 2


1

Numerical analysis 201 APM21M1 16 Real analysis II MAT31M1 16 Organic Chemistry III CHE31M4 16 Probability distribution theory STA21M1 16

2

Eigen value problems APM22M1 16 Abstract Algebra MAT32M1 16 Analytical Chemistry III 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 Bachelor of Science Honours (Physics)


1

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

4.3.18.10.1.4 Master of Science (Physics)



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1 & 2 Masters Thesis in Physics

PHY5004

180

4.3.18.11 Articulation

4.3.18.11.1 Bachelor of Science in Physics (with Chemistry or Mathematics)

Bachelor of Science Honours in Physics or related discipline.


Master of Science in Physics or related discipline.


PhD in Physics or related discipline 4.3.18.12 Module Descriptions

4.3.18.12.1 Undergraduate modules

Module Code

Module Name

NQF Level Credits Semester

EXGP1M1 EXTENDED GENERAL PHYSICS I 5 16 1 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 150 min 1 x 60 min 15 160 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. Supplementary Examination : To qualify for this, a student must obtain an OM of 40% to 49%


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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

Module Name

Module Name


EXGP1M2 EXTENDED GENERAL PHYSICS II 5 16 2 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 150 min 1 x 60 min 15 160 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


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Module Code

Module Name


EGPY1M2 EXTENDED GENERAL PHYSICS III 5 16 1 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 150 min 1 x 60 min 15 160 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 Co-requisite: MAT1113

Module Code

Module Name


EGPH1M2 EXTENDED GENERAL PHYSICS IV 5 16 2 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 150 min 1 x 60 min 15 160 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


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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

Module Code

Module Name


PHY11M1 GENERAL PHYSICS I 5 16 1 Lectures per week


Notional hours

4 x 45 min 1 x 180 min 1 x 60 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.


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Code Course


PHY12M2 GENERAL PHYSICS II 5 16 1 Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 1 x 50 min 15 160 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.

Module Code Module Name


PHY21M1 MECHANICS & WAVES 6 16 1 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 180 min 2 x 60 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


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the ratio 3:2.

Pre-requisites: PHY11M1 , PHY12M2, MAT11M1, MAT12M1 Co-requisites: MAT21M1, MAT22M1



PHY22M1 THERMODYNAMICS & MODERN PHYSICS

6 16 2

Lectures per week


Number of weeks

Notional hours

4 x 50 min 1 x 180 min 2 x 40 min 15 160 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

Code Modules NQF Level Credits Semester PHY31M1 ELECTROMAGNETISM &

QUANTUM MECHANICS 7 24 1

Lectures per week

Laboratory sessions per week Tutorials per week

Number of weeks

Notional hours


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



4 x 45 min 2 x 180 min 2 x 60 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

Module Code Module Code NQF Level Credits Semester PHY32M2 STATISTICAL MECHANICS &

SOLID STATE PHYSICS 7 24 2

Lectures per week

Laboratory sessions per week Tutorials per week

Number of weeks

Notional hours

4 x 50 min 2 x 180 min 2 x 50 min 15 240 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

Module Code

Module Name


PHY41M1 CLASSICAL MECHANICS 8 24 1 Lectures per week

Tutorials per week Number of weeks

Notional hours

6 x 45 min 2 x 60 min 15 240 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

Moule Code

Course Name NQF Level Credits Semester

PHY41M2 MECHANICAL BEHAVIOURS OF MATERIALS

8 24 1

Lectures per week


Notional hours


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



4 x 45 min 2 x 60 min 15 240 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

Module Code Module Name NQF Level Credits Semester PHY42M3 ADVANCED

ELECTROMAGNETISM 8 24 2

Lectures per week


Notional hours

6 x 45 min 2 x 60 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

Code

Course NQF Level Credits Semester

PHY42M4 QUANTUM & STATISTICAL PHYSICS

8 24 2

Lectures per week


Notional hours

4 x 45 min 2 x 60 min 15 240 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


NQF Level Credits Semesters

PHY4205 PROJECT 8 32 1 & 2 Contact time per week

Seminars Number of weeks

Notional hrs

4 hours 3 for the year 24 320 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.

Module Code

Moule Name NQF Level Credits Semester

PHY11M3 PHYSICS FOR LIFE SCIENCES I 5 16 1 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 180 min 1 x 60 min 15 160


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



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 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

Module Code


PHY12M4 PHYSICS FOR LIFE SCIENCES II 5 16 1 Lectures per week


Number of weeks

Notional hours

4 x 45 min 1 x 180 min 1 x 60 min 15 160 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.

GEO12M01 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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Documents

Faculty of Natural Sciences 2016 - Walter Sisulu University · The Faculty of Natural Sciences comprises the Department of Biological and Environmental Sciences, ... while the Eastern