School of Computing prospectus 2012 - Walter Sisulu University

Walter Sisulu University 

PROSPECTUS 2012 

Faculty of Science, Engineering 

and Technology 

www.wsu.ac.za 

School of Computing

FACULTY OF SCIENCE, ENGINEERING AND 

TECHNOLOGY 

SCHOOL OF COMPUTING 

PROSPECTUS 2012 

1 

2012 

PROSPECTUS

TABLE OF CONTENTS 

1 Introduction by the Director of School ....................................................................... 5 

2 School Departments ................................................................................................5 

3 Academic Administration Contact Details ................................................................... 6 

4 Merger of Legacy Institutions ................................................................................... 6 

5 Two Tier Governance Structure................................................................................. 7 

6 Student Societies .....................................................................................................7 

7 Academic Focus of the School .................................................................................. 7 

7.1 School Vision and Mission ........................................................................................ 7 

7.1.1 Vision of the School .................................................................................................7 

7.1.2 Mission of the School ...............................................................................................7 

8 Informaion Application to all Undergraduate Programmes in the School ....................... 7 

8.1 Admission Rules ......................................................................................................7 

8.2 Progression Rules ....................................................................................................8 

8.2.1 National Diploma: Information Technology (Extended Programme) ............................. 8 

8.2.2 National Diploma: Information Technology (All specializations) and 

BSc (Computer Science)........................................................................................... 8 

8.2.3 BSc (Computer Science) (Extended Programme) ........................................................ 8 

8.3 Exit Rules ...............................................................................................................8 

8.3.1 Completion Rules ....................................................................................................8 

8.3.2 Exclusion Rules .......................................................................................................8 

8.3.2.1 ND: IT (Extended Programme) and BSc (Computer Science) (Extended Programme) ... 8 

8.3.2.2 ND: IT (All specializations) and BSc (Computer Science) ............................................ 9 

9 The Extended Curriculum Programme ....................................................................... 9 

10. School Staff ............................................................................................................9 

10.1 School Academic Directorate .................................................................................... 9 

10.2 Departmental Staff ..................................................................................................9 

10.2.1 Department of Applied Informatics ........................................................................... 9 

10.2.1.1 Academic Staff ........................................................................................................9 

10.2.1.2 Administrative & Academic Support Staff ................................................................. 10 

10.2.2 Department of Computer Science ........................................................................... 10 

10.2.2.1 Academic Staff ...................................................................................................... 10 


10.2.3 Department of Information Technology ................................................................... 10 

10.2.3.1 Academic Staff ...................................................................................................... 10 


11 Departments and Programmes ............................................................................... 11 

11.1 Programmes offered by the Department of Computer Science .................................. 11 

11.1.1 Bachelor of Science in Computer Science Programme............................................... 11 

11.1.2 Bachelor of Science in Computer Science Extended Curriculum Programme ............... 16 

11.1.3 Courses in the BSc Computer Science Programmes .................................................. 18 

Computer Architecture & Organization .................................................................... 18 

Computer Literacy and Web Applications I............................................................... 19 

Computer Literacy and Web Application II ............................................................... 19 

Computer Science Fundamentals ............................................................................ 20 

Data Communication & Networking ........................................................................ 20 

Data Structures ..................................................................................................... 21 

Database Management Systems ............................................................................. 22 

Descriptive Statistics, Probability & Distribution Theory ............................................ 22 

Descriptive Statistics, Probability & Distribution Theory ............................................ 23 

Eigen-Value Problems and Fourier Analysis .............................................................. 23 

Electromagnetism & Quantum Mechanics ................................................................ 24 

Extended General Physics I .................................................................................... 24 


2

Extended General Physics II ................................................................................... 25 

Extended General Physics III .................................................................................. 26 

Extended General Physics IV .................................................................................. 26 

General Physics I ................................................................................................... 27 

General Physics II ................................................................................................. 28 

Introduction to Artificial Intelligence ....................................................................... 28 

Introduction To Computer Architecture .................................................................... 29 

Introduction to Information Systems ....................................................................... 30 

Introduction to Object Oriented Programming ......................................................... 30 

Introduction to Problem Solving ............................................................................. 31 

Introduction to Programming 1 ............................................................................... 32 

Introduction To Programming II ............................................................................. 32 

Java Programming ................................................................................................. 33 

Linear Algebra I .................................................................................................... 33 

Mechanics & Waves ............................................................................................... 34 

Multivariate Calculus .............................................................................................. 34 

Multivariable Distribution Theory & Linear Models .................................................... 34 

Numerical Analysis I .............................................................................................. 35 

Operating Systems ................................................................................................ 35 

Ordinary Differential Equations ............................................................................... 36 

Precalculus & Calculus I ......................................................................................... 36 

Precalculus & Calculus II ........................................................................................ 37 

Probability & Distributions II ................................................................................... 37 

Real Analysis I ...................................................................................................... 38 

Software Engineering 1 .......................................................................................... 38 

Software Engineering II ......................................................................................... 39 

Statistical Inference I ............................................................................................. 40 

Statistical Inference II ........................................................................................... 40 

Statistical Mechanics & Solid State Physics .............................................................. 41 

Thermodynamics and Modern Physics ..................................................................... 42 

11.1.4 Bachelor of Science Honours in Computer Science Programme ................................. 42 

11.1.4.1 Description of Programme ...................................................................................... 42 

11.1.4.2 Bachelor of Science Honours in Computer Science Programme ................................. 43 

11.1.5 Courses in the BSc Honours Programme ................................................................. 44 

Advanced Algorithm and Data Structure .................................................................. 44 

Advanced Programming ......................................................................................... 45 

Database Systems ................................................................................................. 45 

Enterprise Java...................................................................................................... 46 

Research Methodology ........................................................................................... 47 

Research Project ................................................................................................... 47 

Web Computing .................................................................................................... 48 

11.2 Department of Information Technology ................................................................... 48 

11.2.1 Programmes Offered by the Department of Information Technology .......................... 49 

11.2.2 National Diploma: Information Technology Programmes ........................................... 49 

11.2.2.1 National Diploma: IT (Business Applications) ........................................................... 49 

11.2.2.2 National Diploma: IT (Communication Networks) ..................................................... 52 

11.2.2.3 National Diploma: IT (Software Development) ......................................................... 54 

11.2.2.4 National Diploma: IT (Support Services).................................................................. 55 

11.2.2.5 National Diploma: IT (Web & Application Development) ........................................... 58 

11.2.2.6 National Diploma: IT (EXTENDED CURRICULUM) ..................................................... 59 

11.2.3 Courses in the National Diploma: Information Technology Programme ...................... 62 

Applied Statistics 2 ................................................................................................ 62 

Business Analysis 2 ................................................................................................ 62 

Business Analysis 3 ................................................................................................ 63 

Communication Networks 2 .................................................................................... 64 

3 


PROSPECTUS

Communication Networks 3 .................................................................................... 64 

Development Software 1 ........................................................................................ 65 



Distributed Systems 2 ............................................................................................ 67 

Emerging Technologies 3 ....................................................................................... 68 

Enterprise Systems Technologies 3 ......................................................................... 68 

Graphical User Interface Design 1 ........................................................................... 69 

Information Systems 1 ........................................................................................... 70 



Information Technology Skills 1 .............................................................................. 72 

Internet Programming 3 ......................................................................................... 72 

IT Electronics 2 ..................................................................................................... 73 

Management Information Systems 3 ....................................................................... 74 

Project Management 3 ........................................................................................... 74 

Support Services 2 ................................................................................................ 75 

Support Services 3 ................................................................................................ 76 

System Software 1 ................................................................................................ 76 

System Software 2 ................................................................................................ 77 

Technical Programming 1 ....................................................................................... 78 

Technical Programming 2 ....................................................................................... 78 

Web Management 3 .............................................................................................. 79 

11.2.4 Courses in the Extended Curriculum of the National Diploma: IT Programme ............. 80 

11.2.4.1 Enrichment Modules Integrated Into The National Diploma Regular Courses ............. 80 

11.2.4.2 Courses ................................................................................................................ 80 

Development Software 1 ext-year2 ......................................................................... 80 

Information Systems 1 ext-year1 ............................................................................ 81 

Information Systems 1 ext-year2 ............................................................................ 81 

Information Technology Skills 1 ext-year 1 .............................................................. 82 

Information Technology Skills 1 ext-year 2 .............................................................. 82 

System Software 1 ext-year1 .................................................................................. 83 

System Software 1 ext-year2 .................................................................................. 84 

11.2.5 Bachelor of Technology: Information Technology Programme ................................... 84 

11.2.5.1 Description of Programme ...................................................................................... 84 

11.2.5.2 Programme Information ......................................................................................... 84 

11.2.5.3 Bachelor of Technology: Information Technology (Communication Networks) ............ 84 

11.2.5.4 Bachelor of Technology: Information Technology (Software Development) ................. 87 

11.2.6 Courses in the BTech: Information Technology Programmes ..................................... 89 

Advanced Communication Networks IV ................................................................... 89 

Advanced Development Software IV ....................................................................... 89 

Application Technology IV ...................................................................................... 90 

Communication Networks IV .................................................................................. 90 

Computer Security IV............................................................................................. 91 

Database Systems IV ............................................................................................ 91 

Development Software IV ...................................................................................... 92 

Functional Management IV ..................................................................................... 92 

Functional Management IV ..................................................................................... 92 

Operating Systems IV ............................................................................................ 93 

Project IV ............................................................................................................. 93 

Project Management IV ......................................................................................... 94 

Research Methodology IV....................................................................................... 94 

Software Engineering IV ........................................................................................ 95 


4

1 INTRODUCTION BY THE DIRECTOR OF SCHOOL 

Our modern society’s reliance on computing is exceptional, as is the speed at which computing 

technology is developing and changing. Constant innovation and improvement in software 

performance and security are paramount. So too is the design and maintenance of our software 

systems and protocols. Career prospects for computer science and information technology 

graduates are excellent as the majority of businesses worldwide require personnel skilled in 

programming, systems analysis and design, and the management of computer resources. 

Computing skills play an increasingly vital role in almost all occupations, and contribute to 

productivity gains, innovation and employment growth across all South African and international 

industries. This is leading to exciting career opportunities. The industry is now taking a frontrow 

seat in the development of innovative solutions to many of society’s most pressing issues, 

such as climate change and management of water resources. Many new jobs have been created 

in the past decade and the long-term career prospects for diplomates and graduates continue 

to strengthen. 

Dr C Marsh 

2 SCHOOL DEPARTMENTS 

The School of Computing includes the Departments of Applied Informatics, Computer Science 

and Information Technology. It offers undergraduate programmes at the National Diploma, 

BTech and BSc levels and a postgraduate programme in BSc Computer Science Honours. Applied 

Informatics is a service department which does not offer any specific programmes but provide 

service to many other programmes in other Schools. The departments within the School of 

Computing offer Extended Programmes at National Diploma and BSc levels. The following is a 

summary of programmes that are offered by the School of Computing. 

DEPARTMENT PROGRAMMES OFFERED DURATION DELIVERY SITES 

Department of 

Computer Science 

Department 

of Information 

Technology 

BSc (Computer Science) 3yrs Mthatha 

BSc (Computer Science with Study 

Level 1 Curriculum Extended) 

5 

4yrs Mthatha 

BSc (Honours) (Computer Science) 1yr Contact HoD 

Computer 

Science 

N Dipl: Information Technology 

with the following specializations: 

Business Applications 

Communication Networks 

Software Development 

Support Services 

3yrs 

Ibika 

Ibika 

Potsdam 

Potsdam 

Chiselhurst 

Chiselhurst 

Ibika 


PROSPECTUS

DEPARTMENT PROGRAMMES OFFERED DURATION DELIVERY SITES 

N Dipl: Information Technology with 

Study Level 1 Curriculum Extended 

with the following specializations: 





B Tech: Information Technology* 

(Full Time) with the following 

specialisations: 

6 

4yrs 

Ibika 

Ibika 

Potsdam 

Potsdam 

Chiselhurst 

Chiselhurst 

Ibika 


Ibika Chiselhurst 

Software development 

Ibika Chiselhurst 

*These programmes will be offered at Ibika & Chiselhurst subject to adequate student numbers 

3 ACADEMIC ADMINISTRATION CONTACT DETAILS 

Director of School 

School of Computing 

Tel: 043 7094087 

Email: umtshizana@wsu.ac.za 

Fax: 043 7094091/3 

Head of Department 

Applied Informatics 

Chiselhurst, College St, Ibika & Potsdam 

Tel: 043 7085207 

Email: nmlomo@wsu.ac.za 

Fax: 043 7085425 


Nelson Mandela Drive 

Tel: 047 5022684 

Email: ckabuya@wsu.ac.za 

Fax: 047 5022269 

Information Technology 

Chiselhurst, Ibika and Potsdam 

Tel: 043 7094043 

Email: jlukose@wsu.ac.za 

Fax: 043 7094091/3 

4 MERGER OF LEGACY INSTITUTIONS 

Walter Sisulu University was formed on 1 July 2005 through the merger of Border Technikon, 

Eastern Cape Technikon and the University of the Transkei (Unitra). This newly merged 

comprehensive higher education institution has positioned itself as a developmental university. 


1yr

5 TWO TIER GOVERNANCE STRUCTURE 

The programmes offered at the Buffalo City (Potsdam, College Street and Chiselhurst) and Ibika 

(Butterworth), campuses are managed by a Head of the Department (HOD), who is assisted on 

the other delivery site by a Site HOD. HODs report to the Director of the School of Computing, 

who as academic head, oversees the academic programmes within the respective departments. 

6 STUDENT SOCIETIES 

The Walter Sisulu University Computer Society (WSUCS) is independently managed by the 

students with guidance from the SRC and the School management. The society offers a range of 

educational activities to its members including an annual educational tour to relevant business 

and industry. The WSUCS is actively engaged in community development programmes. These 

activities enhance leadership and organizational qualities as well as help to unleash other 

potential talents of students 

7 ACADEMIC FOCUS OF THE SCHOOL 

The academic focus of the School is to offer programmes specifically aimed at preparing 

students for the workplace by offering training that will enable diplomates and graduates to 

demonstrate competence, knowledge and judgment in addressing discipline related problems. 

7.1 School Vision and Mission 

7.1.1 Vision of the School 

The School of Computing is aiming at contributing to the achievement of local, provincial and 

national goals of social and economic upliftment by being a leading provider of expertise in 

connectivity technologies and research; by promoting scientific thinking, and by supporting 

entrepreneurship and the development of SMMEs 

7.1.2 Mission of the School 

The mission of the School of Computing is to offer relevant, community-focused programs and 

research in an innovative, developmental and accessible learning environment. It also aims at 

developing highly-skilled graduates and scientists who are employable, entrepreneurial, and 

who will contribute towards sustainable development of the country. 

8 INFORMATION APPLICABLE TO ALL UNDERGRADUATE 

PROGRAMMES IN THE SCHOOL 

8.1 Admission Rules 

• Prospective students will need at least a National Senior Certificate (NSC) or equivalent 

school-leaving certificate for admission to a diploma programme and must ensure that four 

of their seven subjects are from the designated list for a degree programme. 

• Apart from this, there are also specific subject requirements for some programmes. See in 

programme descriptions below. 

7 


PROSPECTUS

• In addition to each programme’s NSC or Matric entry requirements, applicants for the 

School of Computing will be required to sit placement tests and may also be required to 

present themselves for an interview. 

• The combination of the prospective student’s NSC and placement results will determine 

whether the student is admitted to the programme and then will also determine whether 

the student is placed in either the mainstream programme or the extended programme. 

• There are limits to the number of students that can be admitted to each programme. 

Meeting the minimum admission requirements does not guarantee acceptance into a 

programme. 

8.2 Progression Rules 

8.2.1 National Diploma: Information Technology (Extended Programme) 

Candidates shall only be allowed to register for courses of the second year of the programme 

provided they have passed at least two (2) courses of the first year of the programme. 

Candidates shall only be allowed to register for courses of the third year of the programme 

provided they have accumulated at least 90 credits of which 45 credits are from second year 

courses and all pre-requisite courses are met. 

8.2.2 National Diploma: Information Technology (All specializations) and 

BSc (Computer Science) 

Candidates shall be allowed to progress from one level to the next provided they have completed 

all core and pre-requisite courses and have obtained a minimum of at least 60 credits at the 

previous level. 

8.2.3 BSc (Computer Science) (Extended Programme) 

Candidates shall be allowed to progress from one level to the next provided they have completed 

all core and pre-requisite courses and have obtained a minimum of at least 60 credits at the 

previous level. 

8.3 Exit Rules 

8.3.1 Completion Rules 

As per Faculty Prospectus 

8.3.2 Exclusion Rules 

8.3.2.1 ND: IT (Extended Programme) and BSc (Computer Science) (Extended 

Programme) 

• Maximum duration of programme is four (4) years plus two (2) additional years. 

• A first year student who does not obtain 50% of the first year credits will be excluded from 

the programme on academic grounds. 

• Candidates who have not completed all of the foundational courses after three (3) years 

full-time study, will not be permitted to re-register for the qualification. 


8

8.3.2.2 ND: IT (All specializations) and BSc (Computer Science) 

• Maximum duration of programme is three (3) years plus two (2) additional years. 

• A first year student who does not obtain 50% of the first year credits will be excluded from 

the programme on academic grounds. 

9 THE EXTENDED CURRICULUM PROGRAMME 

Extended curriculum programmes lead to the same qualifications as the mainstream programmes. 

Extended curriculum programmes have been developed for all undergraduate programmes in 

the School of Computing, in order to enhance student development and to improve chances 

of successfully completing the diplomas and 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. 

10 SCHOOL STAFF 

10.1 School Academic Directorate 

Director : Vacant 

School Officer : Vacant 

Secretary : Ms U Mtshizana, ND: OMT (WSU) 

10.2 Departmental Staff 

10.2.1 Department of Applied Informatics 

10.2.1.1 Academic Staff 

Lecturer & HOD : Ms T Ngqondi, ND: IT (BT), BTech: IT (PETech), MTech: IT 

(NMMU), Adv Cert. Proj. Mgt. (UFH) 

Lecturer : Dr K. Sibanda, MScEd (Jose Varona, Cuba), MSc (NUST, 

Zimbabwe), PhD: Computer Science (UFH) 

Lecturer : Mr H Chibwe, BSc (Zambia), MSc (Birmingham,UK) 

Lecturer : Mr A Kantore, ND: IT (BT), BTech:IT (NMMU) 

Jnr. Lecturer : Mr V Tiso, ND: IT (BT) 

Jnr. Lecturer : Mr M Zamane, ND: FIS (BT), BTech: FIS (PETech); BTech: CMA 

Jnr. Lecturer : Mr S Tshemese, ND: IT (BT) 

Jnr. Lecturer & Site Co-od : Ms T Kangaphi, ND: IT (BT) 

Jnr. Lecturer : Ms G Phingilili, ND: IT, BTech: IT (ECT), 

Information Systems (Hons) (UFH) 

Lecturer & Site Co-od : Ms L Tuntulwana, ND: IT, BTech: IT (ECT) 

Lecturer : Ms P Vitshima, ND: IT, BTech: IT 

Lecturer : Ms K Poswa, ND: IT (ECT) 

Lecturer : Ms N Buka, ND: IT, BTech IT (ECT) 

Lecturer : Mr L Mafanya, ND: IT (BT), BTech: (Tswane University) 

9 


PROSPECTUS

10.2.1.2 Administrative & Academic Support Staff 

Academic Secretary : Ms N Mlomo, NHC: IT (BT) 

Laboratory Tech : Ms B Xala, ND: IT (ECT) 

Laboratory Tech : Mr M Wetu, ND: IT, Cert Proj Mgt Plan 

10.2.2 Department of Computer Science 


Lecturer & HOD : Mr C Kabuya, BSc (Hons) (UNZA), MSc (UZ) 

Senior Lecturer : Vacant 


Lecturer : Mr S Nyika, BSc (Hons) (Cuba), MSc (NUST, Zimbabwe) 

Lecturer : Mr E Mupela, MSc (Varna, Bulgaria) MSc.(Shanga) 

Lecturer : Mr L Tinarwo, BSc, BSc (Hons), MSc (Fort Hare) 

Lab Assistant : Mrs N Zilwa, BSc , BSc (Hons) (WSU) 


Laboratory Technician : Vacant 

Secretary : Vacant 

10.2.3 Department of Information Technology 


Associate Director : Vacant 

Senior Lecturer & HOD : Mr JM Lukose, MComp Mgt (North Maharashtra) 

Senior Lecturer : Mr M Sasikumar, MSc (Kerala, India), PGDE (Ife), PGDCA, Dip Data 

(UNISA), Assessor Cert. 


Seniour Lecturer : Vacant 


Lecturer : Mr C Boamah-Abu, BSc (UST-Ghana), BSc (Hons) (Rhodes) 

Lecturer & BTech Co-od : Mr B Ndovie, Dip: Civ Eng, BSc (Zambia); PGDip, MSc Comp Sci 

(Essex) 

Lecturer & Site Co-od : Mr M Jaza, BSc, BSc (Hons) (Fort Hare) 

Lecturer : Mr A Luyt, BSc, BEd (Rhodes), Dip. Data: (UNISA), UED (Rhodes) 

Lecturer : Ms MC Mokoka, ND: IT (Tswane University), BSc Langston 

Lecturer : Mr J Samudzi, BSc (Lesotho), B Ed (Rhodes) 

Lecturer : Mrs L van der Merwe, BSc (Stellenbosch), Assessor Cert. 

Lecturer : Vacant 

Lecturer : Vacant 

Lecturer : Mr T Tuyikeze, ND: IT (BT), BTech: IT (PE Tech), 

MTech: IT (NMMU) 

Lecturer & Site Co-od : Mr T Ngetu, ND: IT (BT), BTech: IT (TUT) 

Lecturer : Mr P Mwansa, ND: IT, BTech: IT (ECT) 


10

Lecturer : Ms D Pillai, MSc (Zululand) 

Lecturer : Mr Y Murugan, BSc (Hons) (Fort Hare) 

Lecturer : Mr G Mwansa, BSc (Zambia), MSc (IT) (UNAM), Cert. Mgt Services 

(IMS, UK), CCAI 

Lecturer : Mr P Tamba Tamba, BSc Hons (Zululand), M Tech: IT (DUT) 

Lecturer : Mr R Ngandu, BSc, BSc (Hons) (Rhodes) 

Lecturer : Mr A Mwanza, BSc, MSc Comp. Sc. (NUST), CCAI, 

CCNA, CCNP (ISCW, ONT) 

Junior Lecturer : Mr E Frauenstein, ND: IT (BT), BTech: IT (ECT) 

Temp Lecturer & Ext Prog Co-od : Ms N Hlungulu, ND: IT (BT), BTech: IT (ECT) 

Temp Lecturer & Ext Prog Co-od : Ms S Twetwa, ND: IT, BTech IT (ECT) 

Temp Lecturer : Mr A Wakeni, BSc, BSc (Hons) (Fort Hare) 

Temp Lecturer : Mr M Majova, ND,IT (WSU), BTech: IT (WSU) 

Temp Lecturer : Ms G Motlhoki, BCom (North West University), BCom(Hons) (North 

West University) 

Temp Lecturer : Mr A Fosu, BSc (KNUST) (Ghana), BSc (Hons) Fort Hare 

Temp Lecturer : Mr S Fernandez, MCA (Bangalore University) 

Temp Lecturer : Mr T Mhlauli, B Tech: IT (WSU) 


Academic Secretary : Ms A Ndaliso, ND:Office Admin (ECT) 

Laboratory Tech : Mr Z Skenjana, ND: IT (ECT) 

Laboratory Tech : Ms N Pakkies, BTech: IT (WSU) 

Laboratory Tech : Vacant 

11 DEPARTMENTS AND PROGRAMMES 

11.1 Programmes offered by the Department of Computer Science 

The Department of Computer Science offers BSc and BSc Honours programmes in line with the 

requirements of South African Qualifications Authority (SAQA), the Council for Higher Education 

(CHE) and Higher Education Quality Committee (HEQC). Its programs are 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 

manufacturing industries. 

11.1.1 Bachelor of Science in Computer Science Programme 

DESCRIPTION OF THE PROGRAMME 

11.1.1.1 NAME OF PROGRAMME 

Bachelor of Science in Computer Science 

11.1.1.2 PURPOSE STATEMENT 

To provide basic knowledge towards further training to become computer 

scientists. 

11 


PROSPECTUS

11.1.1.3 RATIONALE OF PROGRAMME 

Computer scientists are required locally, nationally, and internationally in the 

scientific, business and manufacturing industries. 

11.1.1.4 CAREER OPPORTUNITIES 

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. 

11.1.1.5 EXIT LEVEL OUTCOMES 

The qualifying learner should have the ability to: 

1) Work in a broad range of positions involving tasks from theoretical work to software 

development and demonstrate: 

a) an intellectual understanding of, and an appreciation for, the central role of algorithms 

and data structures; 

b) an understanding of computer hardware from a software perspective, for example, 

use of the processor, memory, disk drives, display, etc. 

c) those fundamental programming skills to permit the implementation of algorithms and 

data structures in software; 

d) those skills that are required to design and implement larger structural units that 

utilize algorithms and data structures and the interfaces through which these units 

communicate; 

e) an understanding of software engineering principles and technologies so as to ensure 

that software implementations are robust, reliable, and appropriate for their intended 

audience. 

2) Understand the possibilities and limitations of what computer technology (software, 

hardware, and networking) can and cannot do. There are three levels: 

a) an understanding of what current technologies can and cannot accomplish; 

b) 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; 

c) an awareness of the impact on individuals, organizations, and society of deploying 

technological solutions and interventions. 

3) 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. 

4) Understand the essential concept of process, in at least two meanings of the term: 

a) process as it relates to computing especially program execution and system operation; 

b) process as it relates to professional activity especially the relationship between product 

quality and the deployment of appropriate human processes during product development. 


12

11.1.1.6 PROGRAMME CURRICULUM 

BACHELOR OF SCIENCE IN COMPUTER SCIENCE 360 CREDITS OVER 3 YEARS 

DELIVERY SITE: NELSON MANDELA DRIVE 

COURSE DEPT CODE CREDITS S/Y F/C/E PRE-REQUISITE 

STUDY LEVEL 1: 

SEMESTER 1 

Intro Information Systems CSI1101 8 S C Admission Requirements 

Problem Solving CSI1102 8 S C Admission Requirements 

Computer Literacy & Web 

Applications 

CSI1103 8 S C Admission Requirements 

Communication Skills EDU1001 8 Y F Admission Requirements 

Pre-Calculus & Calculus or 

Applied Maths 

Plus 1 Additional Elective 

ELECTIVES 

MAT1101 

APM1101 

16 

16 

13 

S 

S Admission Requirements 

Physics PHY1101 16 S E Admission Requirements 

Applied Maths APM1101 16 S E Admission Requirements 

Statistics STAT1101 16 S E Admission Requirements 

Economics ECO1101 16 S E Admission Requirements 

Business Management BMA1101 16 S E Admission Requirements 


SEMESTER 2 

Computer Literacy & Web 

Applications 


Intro to OO Programming CSI1201 8 S C CSI1101, CSI1102 

Computer Organisation & 

Architecture 

Plus 1 Additional Elective 

ELECTIVES 


Physics PHY1202 16 S E Admission Requirements 

Applied Maths APM1201 16 S E Admission Requirements 

Statistics STAT1202 16 S E Admission Requirements 

Economics ECO1202 16 S E Admission Requirements 

Business Management BMA1202 16 S E Admission Requirements 


SEMESTER 1 

Java Programming CSI2101 14 C All core modules from 

Study Level 1 

Data Communications & 

Networking 

Plus 2 Additional Electives 

ELECTIVES 

CSI2102 14 C 

Maths MAT21011 8 S E MAT1101 

Maths MAT2102 8 S E 

Physics PHY1/2101 16 S E Pre-requisite at Study 

Level 1 


PROSPECTUS

Applied Maths APM1/2101 16 S E 

Statistics STA1/2101 16 S E 

Economics ECO1/2101 16 S E 

Business Management BMA1/2101 16 S E 


SEMESTER 2 

Maths MAT1201 16 S C All core modules 

from Study Level 1 

Operating Systems CSI2201 14 S C 

Data Structures CSI2202 14 S C 


ELECTIVES 

Maths MAT2201 8 S E Pre-requisite at 

Study Level 1 

Maths MAT2202 8 S E 

Physics PHY2202 16 S E 

Applied Maths APM2201 16 S E 

Statistics STA2202 16 S E 




SEMESTER 1 

Intro to Artificial Intelligence CSI3101 14 S C All core modules 

from Study Level 2 

Software Engineering CSI3102 14 S C 


ELECTIVES 


Level 2 





SEMESTER 2 

Data Management CSI3201 14 S C All core modules from 

Study Level 2 

Software Engineering II CSI3202 14 S C 


ELECTIVES 


Level 2 





14

11.1.1.7 UNDERPINNING KNOWLEDGE 

The entire programme must consist of at least 50% Computer Science. Essential 

underpinnings may be abstract, for example, formal theory rooted in mathematics, or 

they may address professional values and principles. Regardless of their form or focus, 

the underpinnings must highlight those essential aspects of the discipline that remain 

unaltered in the face of technological change. The discipline’s foundation provides a 

touchstone that transcends time and circumstance, giving a sense of permanence and 

stability to its educational mission. Students must have a thorough grounding in that 

foundation. 

11.1.1.8 ADMISSION REQUIREMENTS 

11.1.1.8.1 National Senior Certificate (NSC) 

NSC achievement rating of at least 4 (50-59%) in Mathematics and English as a home 

language or first additional language level and 4 (50-59%) in either Physical Science 

or Biology. 

11.1.1.8.2 GRADE 12/ MATRIC 

Applicants must have obtained full Matriculation Exemption, Conditional Exemption or 

Mature Age Exemption if the Candidate is 23 years on the year of registration with the 

following subjects: 

English First Language E(HG)/D(SG) or 

English Second Language D(HG)/C(SG) 

Mathematics E(HG)/D(SG) 

Physical Science or Biology E(HG)/D(SG) 

11.1.1.8.3 PLACEMENT TESTS 

NBT 

Completion of NBTS Mathematics, Physical Science and English tests. Points awarded 

for final school results and NBTs tests determine placement of student into 3 year or the 

Extended 4 year Programme. 

11.1.1.8.4 RECOGNITION OF CREDITS FROM OTHER INSTITUTIONS 

Not more than 50% of subjects in the Diploma will be exempted in this way 

All exit level subjects be done in the department. One exit level subject may be 

recognized 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 

11.1.1.9.1 DISTRIBUTION OF CREDITS OVER THE LEVELS 

Level 1: 120. (NQF level 5) 



11.1.1.10 PROGRAMME RULES 

11.1.1.10.1 PROMOTION RULES 

11.1.1.10.2 EXIT RULES 

11.1.1.10.2.1 COMPLETION 

11.1.1.10.2.2 EXCLUSION 

All core and pre-requisite courses must be completed. 

A minimum of 60 credits must be obtained at the previous level 

All courses and modules must be completed. 

Maximum 3 years plus two additional years allowed. 

* Electives – Recommended electives are listed, however, students at any level may select any 

other electives subject to the time-table and prerequisites. 

15 


PROSPECTUS

11.1.2 Bachelor of Science in Computer Science Extended Curriculum Programme 


11.1.2.1 NAME OF PROGRAMME 

Bachelor of Science in Computer Science Extended Curriculum 

11.1.2.2 PURPOSE STATEMENT 

The purpose of the programme is to improve the success and graduation rates of 

students from disadvantaged backgrounds within the Bachelor of Science: Computer 

Science programmes offered by the School of Computing. 

In order to achieve its purpose the programme aims to: 

Provide students “at risk” with a viable platform to successfully undertake computing 

studies at tertiary education level. 

Provide students from disadvantaged backgrounds with an adequate level of foundational 

competence which is based on specific and discipline-related computing knowledge. 

Improve the retention and throughput of disadvantaged students entering the mainstream 

programmes. 

Provide a learning environment where the gap in terms of disadvantaged learner needs 

and the learner support required are bridged. 

BACHELOR OF SCIENCE IN COMPUTER SCIENCE with STUDY LEVEL 1 EXTENDED 

CURRICULUM 

360 CREDITS OVER 4 YEARS 

DELIVERY SITE: NELSON MANDELA DRIVE 


STUDY LEVEL EXTENDED 1A: SEMESTER 1 


Fundamentals 


Integrated Maths I MAT1111 16 S C Admission Requirements 

General Study Skills GSS1111 8 S F Admission Requirements 

Life Skills I LSK1111 8 Y F Admission Requirements 

Academic Literacy I ACL1111 8 S F Admission Requirements 

ELECTIVES 

Extended General Physics PHY1111 16 S E Admission Requirements 

STUDY LEVEL EXTENDED 1A: SEMESTER 2 

Introduction to Programming I CSI1212 16 S C Admission Requirements 

Integrated Maths II MAT1212 16 S C Admission Requirements 

General Study Skills GSS1212 8 S F Admission Requirements 

Life Skills I LSK1212 8 S F Admission Requirements 

Academic Literacy I ACL1212 8 S F Admission Requirements 

ELECTIVES 

Extended General Physics II PHY1212 16 S E Admission Requirements 


16

STUDY LEVEL EXTENDED 1B: SEMESTER 1 

Introduction to Computer 

Architecture 

CSI1113 16 S C All core modules from 

Study Level Extended 1A 

Integrated Maths III MAT1113 16 S C 

Plus any two electives 

ELECTIVES 

Extended General Physics III PHY1113 16 S E Pre-requisite at Study 

Level Extended 1A 

Applied Math APM1101 16 S E Admission Requirements 

Stats STA1101 16 S E Admission Requirements 

Economics OR 

Business Management 

ECO1101 

BMA1101 

STUDY LEVEL EXTENDED 1B: SEMESTER 2 

16 S E Admission Requirements 

Intro to Programming II CSI1214 16 S C All core modules from 

Study Level Extended 1A 

Integrated Maths III MAT1113 16 S C 

Plus any two electives 

ELECTIVES 

Extended General Physics IV PHY1214 16 S E Pre-requisite at Study 

Level Extended 1A 

Applied Math APM2101 16 S E 

Stats STA2102 16 S E 

Economics OR 

Business Management 

ECO1202 

BMA1202 

16 S E 

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

STUDY LEVEL 2: SEMESTER 1 

As for 3-year programme 







17 


PROSPECTUS

11.1.2.5 ADMISSION REQUIREMENTS, UNDERPINNING KNOWLEDGE 

AND PROGRAMME RULES 

As for 3-year programme with the following additions: 

Maximum duration of programme is four (4) years plus two (2) 

additional years. 

A first year student who does not obtain 50% of the first year credits 

will be excluded from the programme on academic grounds. 

Candidates who have not completed all of the foundational courses 

after three (3) years full-time study, will not be permitted to re-register 

for the qualification. 

11.1.2.6 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) 

11.1.3 Courses in the BSc Computer Science Programmes 

Note: For courses in Economics and Business Management please refer to the prospectus of the 

Faculty of Business Management Sciences and Law. 

Computer Architecture & Organization 

Module Code Module Name NQF Level Credits Semester 

CSI 1202 Computer Architecture & 

Organization 

Lectures per 

week 

Pracs per week Tutorials 

per week 

1 x 2 hrs 2 x 2hrs (x 2 

groups) 

Content / 

Syllabus 

18 

5 8 2 

Number 

of weeks 

14 84 

Notional 

hours 

Theory: General concepts, CPU structure, Processor design, ALU, Bus and 

Register operations, Number systems, Floating point numbers, Alphanumeric 

codes, BCD, binary arithmetic – positive and negative values. Design Logic, 

Boolean algebra, Logic gates. Combinational Logic circuits, flip-flops, Multiplexers 

and decoders, Counters and registers. Memory and storage techniques, Storage 

devices, virtual memory and memory management. i/o addressing and interrupts, 

microprocessors, RISC, CISC technology. Introduction to assembly language 

programming. 

Entry rules MATRICULATION: Qualified for degree. At least 3 in mathematics and 2 in 

English and 2 in life orientation. 

Assessment 

and progression 

rules 

Admission criteria 


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). 

Re-examination (Not compulsory): To qualify for re-examination students 

must obtain an overall assessment of between 40 and 49%.

Computer Literacy and Web Applications I 


CSI 1103 Computer Literacy and Web 

applications I 

Lectures per 

week 


per week 

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

groups) 

Content / 

Syllabus 

19 

5 8 1 

Number 


14 84 

Notional 

hours 

Theory: Touch Typing using any open source typing tutor software. Basic Computer 

Concepts, The term Computer, the Components of a computer, advantages and 

disadvantages of using a computer, The purpose of a network, the WWW and the 

Internet. The uses of internet, Computer software, categories of computers, Types 

of computers, computer applications in society. Antivirus, viruses, Trojan horses 

and worms. The material is presented in a series of weekly lectures and tutorials. 

Computer Skills training will be given in the practical laboratory sessions of this 

course. Assignments which emphasize the use of computers will be given. These 

could be assignments in Microsoft word, Excel, PowerPoint, Excess. Also some 

practicals to demonstrate a network must be given such as making a Lan with say 

a few computers where students actually prepare UTP cables, RJ45 connectors 

and do crimping using the crimping tools and construct a working network. 

Entry rules MATRICULATION: Qualified for degree. At least 3 in mathematics, 2 in 


Assessment 


rules 



Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments(20%) 



40%(EA). 


must obtain an overall assessment of between 40 and 49%. 

Computer Literacy and Web Application II 


CSI 1203 Computer Literacy and Web 

Application II 

Lectures per 

week 


per week 

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

groups) 

Content / 

Syllabus 

5 8 2 

Number 


14 84 

Notional 

hours 

Theory: The Internet and the WWW, HTML, XML, Any Visual .NET Application 

Entry rules MATRICULATION: Qualified for bachelors. At least 3 in mathematics, 2 in 



PROSPECTUS

Assessment 


rules 


Computer Science Fundamentals 


Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments(20%) 



40%(EA). 




CSI 1111 COMPUTER SCIENCE 

FUNDAMENTALS 

Lectures per 

week 

Practicals per week Tutorials 

per week 

20 

5 16 1 

Number 


4 x 1 hr 2 x 1 hr 14 160 

Content / 

Syllabus 

Entry rules Admission criteria 

Assessment 


rules 

Data Communication & Networking 

Notional 

hours 

Theory: 1.Fundamentals of IS: Data, Information, Importance and Requirements 

of IS. 2. Information Systems and Organizations: Types and Characteristics 

of Information Systems from an Organizational 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. 

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). 

Students with CA less than 40% are not allowed to sit for the examination (EA). 


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%. 



Code Module Name NQF Level Credits Semester 

CSI 2102 DATA COMMUNICATION & 

NETWORKING 

Lectures per week Practicals per week Tutorials 

per week 

6 14 1 

Number 


1 x 2 hr 1 x 2 hr 14 140 


Notional 

hours

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, Internetwork 

Protocols, Inter-network Operation, Transport Protocols, Network 

Security, Distributed Applications 

Practicals: Consist of 14 tutorials chosen from each section of content covered. 

Entry Rules Pre-requisites: CSI1101, CSI1102, CSI1201and CSI1202, MAT1101, CSI1102, 

CSI1203 and MAT1201 or APM1101, APM1201 

Assessment 


rules 

Data Structures 


overall assessment (OA) is 60%. 


examination (EA) to the overall assessment (OA) is 40%. 

Re-examination (Not compulsory): 


CSI 2202 DATA STRUCTURES 6 14 1 


per week 

21 

Number 


1 x 2 hr 1 x 2 hr 14 140 

Notional 

hours 

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. 



Assessment 


rules 


overall assessment (OA) is 60%. 





PROSPECTUS

Database Management Systems 


CSI3201 Database Management Systems 7 14 1 

Lectures per week Pracs per week Tutorials 

per week 

22 

Number 


3 x 50 min 1 x 3 hrs 1 x 50 min 14 140 

Notional 

hours 

Content / Syllabus Theory: File Systems and Databases, The Relational Database Model, Structured 

Query Language (SQL), Entity Relationship (E-R) Modeling, Normalisation of 

Database Tables, Database Design, Transaction Management and Concurrency 

Control, Distributed Database Management System, Object-Oriented Databases, 

Database Administration, Database and The Internet. 

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

Entry Rules Applicant must have Passed all Second Year Modules, CSI2202, CSI2102 

Assessment 


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). 



40%(EA). To qualify for course credit students must obtain an overall assessment 

of 50%. 



Descriptive Statistics, Probability & Distribution Theory 


APM1101 Descriptive Statistics, Probability 

& Distribution Theory 


per week 

5 16 1 

4 x 50 min 1 x 100 min 13 

Number 


Notional 

hours 

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. 

Assessment Year mark (DP) will be obtained assessments based on assignments and tests. 

Final mark will be obtained from the Year Mark (DP) x 40% + Exam Mark x 

60%. 

SCHOOL OF COMPUTING

Descriptive Statistics, Probability & Distribution Theory 


STA1101 Descriptive Statistics, Probability 

& Distribution Theory 


per week 

23 

5 16 1 

4 x 50 min 1 x 100 min 13 

Number 


Notional 

hours 

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. 


Final mark will be obtained from the Year Mark (DP) x 40% + Exam Mark x 60%. 

Eigen-Value Problems and Fourier Analysis 


APM2201 Eigen-Value Problems and Fourier 

Analysis 


per week 

6 16 1 

4 x 50 min 2 x 50 min 13 

Number 


Notional 

hours 

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-Liouville eigenfunctions, 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 



60%. 


PROSPECTUS

Electromagnetism & Quantum Mechanics 

Code Course NQF Level Credits Semester 

PHY3101 Electromagnetism & Quantum 

Mechanics 

Lectures per week Laboratory sessions per week Tutorials 

per week 

24 

7 24 1 

Number 

of 

weeks 

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

Notional 

hours 

Content / 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 polarizations, linear isotropic and 

homogeneous media, electric and magnetic fields due to polarized 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. 

Entry Assumptions/Pre-requisites: PHY2101, PHY2202, MAT2101, MAT2102, MAT2201, MAT2202 

Co-requisites: None 

Extended General Physics I 


PHY1111 Extended General Physics I 5 16 1 


per week 

Number 


4 x 50 min 1 x 150 min 1 x 50 min 15 160 

Content / Syllabus: Science – a way of knowing; Measurements in Physics; Kinematics; 

Dynamics; Kinetic Theory, Properties of Matter & Modern Physics 


Notional 

hrs

Assessment: Continuous Assessment mark: To qualify for examinations, student must 

attain 40% continuous assessment mark ( CAS 100% = 50% from major tests + 

30% from practicals + 20% from tutorials, other assessments & assignments). 

The contribution of CAS mark to Semester mark is 60%. 

Examination Mark: 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 semester mark is 40%. 

Overall Semester mark: 60% CAS + 40% Exam mark. 

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 

semester mark of 40% - 49% 

Entry Assumptions/Pre-requisites: 

NSC – qualified to progress to a diploma course - achievement rating of 3(40-49%) or better in 4 

recognized content 20 credit subjects including Mathematics & Physical science. Rating 2 in English & 

Life Skills. 

Matriculation: Senior Certificate with a minimum of E(HG)/D(SG) in Mathematics & Physical Science. 

E(SG) in English. 

Other requirements: Minimum achievement of 3 in NBT tests in English, Mathematics & Science. 

Co-requisite: MAT1111 

Extended General Physics II 


PHY1212 Extended General Physics II 5 16 2 


per week 

25 

Number 


4 x 50 min 1 x 150 min 1 x 50 min 15 160 

Notional 

hrs 

Content / Syllabus: Thermodynamics; Magnetism, Static & Current Electricity; Electromagnetism; 

Wave theory, Longitudinal Sound waves; Electromagnetic waves, Light & 

Optics 


attain 40% continuous assessment mark ( CAS 100% = 50% from major 

tests + 30% from practicals + 20% from tutorials, other assessments & 

assignments). The contribution of CAS mark to Semester mark is 60%. 


100%. 










PROSPECTUS


NSC – qualified to progress to a diploma course - achievement rating of 3(40-49%) or better in 4 

recognized content 20 credit subjects including Mathematics & Physical science. Rating 2 in English & 

Life Skills. 

Matriculation: Senior Certificate with a minimum of E(HG)/D(SG) in Mathematics & Physical Science. 

E(SG) in English. 

Other requirements: Minimum achievement of 3 in NBT tests in English, Mathematics & Science. 


Extended General Physics III 


PHY1113 Extended General Physics III 5 16 1 


per week 

26 

Number 


4 x 50 min 1 x 150 min 1 x 50 min 15 160 

Notional 

hrs 

Content / 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 






100%. 










A pass in PHY1111, PHY1212, MAT1111 & MAT1212 

Co-requisite : MAT1113 

Extended General Physics IV 


PHY1214 Extended General Physics IV 5 16 2 


per week 

Number 


4 x 50 min 1 x 150 min 1 x 50 min 15 160 

Notional 

hrs 

Content / Syllabus: Wave motion; Sound waves; Superposition & standing waves; Electric fields; 

Gauss’s law; Electric potential; Capacitance & Dielectrics; Direct current 

circuits; Magnetism 

SCHOOL OF COMPUTING






100%. 










A pass in PHY1111, PHY1212, MAT1111 & MAT1212 


General Physics I 


PHY 1101 General Physics I 5 16 1 


per week 

27 

Number 


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

Notional 

hrs 

Content / 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 (CASS 100% = 50% from Major Tests + 30% Practical Assessment + 

20% 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%-49%. 


PROSPECTUS

General Physics II 


PHY 1202 General Physics II 5 16 1 


per week 

28 

Number 


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

Notional 

hrs 

Content / 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 (CASS 100% = 50% from Major Tests + 30% Practical Assessment + 

20% 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%-49%. 

Entry Assumptions/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. 

Introduction to Artificial Intelligence 


CSI3101 Introduction to Artificial 

Intelligence 


per week 

6 14 1 

Number 


weeks 

3 x 50 min 1 x 3 hrs 1 x 50 min 14 140 

Notional 

hours 

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. 


SCHOOL OF COMPUTING


Assessment 


rules 

Introduction To Computer Architecture 


assignments (AA), three tutorial assignments (TA), a practical assessment 

(PA), an examination (EA) and a re-examination (RA). 

Examination (Compulsory): One examination (EA). The contribution of 

the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) 

+ 40%(EA). To qualify for course credit students must obtain an overall 

assessment of 50%. 

Re-examination (Not compulsory): To qualify for re-examination 

students must obtain an overall assessment of between 40 and 49%. 


CSI 1113 Introduction To Computer 

Architecture 


per week 

2 x 2 hrs 2 x 2hrs (x 

2 groups) 

29 

5 16 1 

Number 


weeks 

14 112 

Notional 

hours 

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. 


physics and 2 in English and 2 in life orientation. 

Assessment 


rules 

REQUIRED NSC SUBJECTS (Compulsory): Mathematics, English and 

Physical Science. 

RECOMMENDED: IT, CAT 

OTHER (NBT): 3 in mathematics, 

Continuous Assessment (CA) (Compulsory): Two Assignments(40%), 

Two Tests (40%) and 12 tutorial assessments(20%) 



+ 40%(EA). 




PROSPECTUS

Introduction to Information Systems 


CSI 1101 Introduction to Information 

Systems 


per week 

1 x 2 hrs 0 2 x 2hrs (x 

2 groups) 

30 

5 8 1 

Number 


weeks 

14 84 

Notional 

hours 

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 


rules 



Two Tests (40%), 12 tutorial assessments(20%) 



+ 40%(EA). 



Introduction to Object Oriented Programming 


CSI 1201 Introduction to Object Oriented 

Programming 


per week 

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

2 groups) 

5 8 2 

Number 


weeks 

14 84 

Notional 

hours 

Content / Syllabus Theory: Classes, Objects and data abstraction, Inheritance, polymorphism, 

Pointers, virtual functions, templates, exception handling. 

Entry rules Admission criteria 

SCHOOL OF COMPUTING

Assessment 


rules 

Introduction to Problem Solving 


Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical 

assessments(20%) 



+ 40%(EA). 




CSI 1102 Introduction to 

Problem solving 


per week 

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

2 groups) 

31 

5 8 1 

Number 


14 84 

Notional 

hours 

Content / Syllabus Theory: The Basics of a C++ Program, Data Types, Arithmetic Operators 

and Operator Precedence Expressions, Type Conversion, Input, Increment 

and decrement Operators, Output Preprocessor directives, Creating a 

C++ Program. Input/Output, I/O Streams and Standard I/O devices, Using 

predefined functions in a program, Input failure, Control Structures, Relational 

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

Switch structures, Control structures , Looping, User defined functions, Value 

returning functions, Void functions without parameters, Void functions with 

parameters, Value parameters, Reference variables as parameters, Value and 

reference parameters and memory allocation, Scope of an identifier, Global 

variables, Static and automatic variables, Function overloading, Functions with 

default parameters, User defined simple data types, namespaces and the string 

type, Enumeration type, Arrays and strings, Applications of arrays (searching 

and sorting), List processing, Bubble sort, Selection sort, Insertion sort, Binary 

search, Vector type (class), Records, Pointers, linked lists 

Entry rules MATRICULATION: Certified for degree. At least 3 in mathematics, 2 in 


Assessment 


rules 

REQUIRED NSC SUBJECTS (Compulsory): Mathematics, English 

RECOMMENDED: IT, CAT 

OTHER (NBT): 3 in mathematics, 


Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical assessments(20%) 



+ 40%(EA). 




PROSPECTUS

Introduction to Programming 1 


CSI 1212 Introduction to Programming 1 5 16 2 


per week 

32 

Number 


4 x 1 hr 2 x 1 hr 14 160 

Notional 

hours 

Content / Syllabus Theory: 1. Object oriented and structured programming, polymorphism and 

inheritance, programming languages, basics of a C++ program. 2. Data types, 

declarations, input and output, assignments, operators (arithmetic, logical, 

relational) 3.Conditional and switch statements, while and for loops, control 

statements. 4. Functions with return type void, function overloading. 5. Input 

from a file, output to a file, reading to the end of the file, arrays. 

Practicals: Consist of 14 practicals chosen from each section of content 

covered. 

Entry 

rules 

Assessment 


rules 

MATRICULATION: A good National Senior Certificate Pass. Rating of 2 

(30-39%) in LOTL/ English, 2 (30-39%) in Life Orientation, 3 (40-49%) in 

Mathematics, 3 (40-49%) in IT/CAT, Life Sciences, Geography or Physical 

Science, 2 (30-39%) in NBT (English, Mathematics, Science). 


Introduction To Programming II 

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 (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%. 




CSI 1214 Introduction To Programming II 5 16 2 


per week 

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

2 groups) 

Number 


14 154 

Notional 

hours 

Content / Syllabus Theory: Classes, Objects and data abstraction, Inheritance, polymorphism, 

Pointers, virtual functions, templates, exception handling. 

Entry rules MATRICULATION: Qualified for diploma. At least 3 in mathematics, 2 in 

physics and 2 in English and 2 in life orientation. 

SCHOOL OF COMPUTING

Assessment 


rules 

Java Programming 



Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical 

assessments(20%) 



+ 40%(EA). 




CSI 2101 JAVA PROGRAMMING 6 14 1 


per week 

33 

Number 


1 x 2 hr 1 x 2 hr 14 140 

Notional 

hours 

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. 



Assessment 


rules 

Linear Algebra I 

Continuous Assessment (CA) (Compulsory): The contribution of CA to 

the overall assessment (OA) is 60%. 


the examination (EA) to the overall assessment (OA) is 40%. 



MAT2202 Linear Algebra I 6 8 2 


per week 

Number 


weeks 

2 x 50 min 1 x 50 min 13 80.7 

Notional 

hours 

Content / Syllabus Further properties of matrices and determinants, real vector spaces, basis 

and dimension, linear transformations, eigenvalues, diagonalization. 


PROSPECTUS

Assessment Year mark (DP) will be obtained assessments based on assignments and 

tests. Final mark will be obtained from the Year Mark (DP) x 40% + Exam 

Mark x 60%. 

Mechanics & Waves 


PHY2101 Mechanics & Waves 6 16 1 


per week 

34 

Number 


weeks 

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

Notional 

hrs 

Content / 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. 




Entry Assumptions/Pre-requisites: PHY1101, PHY1202, MAT1101, MAT1201 

Co-requisites: MAT2101, MAT2201 

Multivariate Calculus 


MAT2101 Multivariate Calculus 6 8 1 


per week 

2 x 50 min 1 x 50 min 13 

Number of 

weeks 

Notional 

hours 

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. 



60%. 

Multivariable Distribution Theory & Linear Models 


STA3101 Multivariable Distribution 

Theory & Linear Models 


per week 

7 16 2 

4 x 50 min 1x 100 min 13 


Number 


weeks 

Notional 

hours

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 Variants. 

Linear Models: Concepts related to linear models; point and interval estimation; 

hypothesis testing; violation of assumptions; applications of linear models. 



60%. 

Numerical Analysis I 


APM2101 Numerical Analysis I 6 16 1 


per week 

4 x 50 min 1 x 100 min 13 

35 

Number 


weeks 

Notional 

hours 

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 



60%. 

Operating Systems 


CSI 2201 OPERATING SYSTEMS 6 14 1 


per week 

Number 


weeks 

1 x 2 hr 1 x 2 hr 14 140 

Notional 

hours 


PROSPECTUS

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 organization and management, storage allocation. 

Virtual memory concepts, paging and segmentation, address mapping. Virtual 

storage management, page replacement strategies. File organization: blocking 

and buffering, file descriptor, directory structure File and Directory structures, 

blocks and fragments, directory tree, UNIX file structure. 

Practicals: Consist of 14 tutorials chosen from each section of content covered. 

Entry Rules Pre-requisites: CSI1101, CSI1102, CSI1201and CSI1202, MAT1101, 

CSI1102, CSI1203 and MAT1201 or APM1101, APM1201 

Assessment 


rules 

Ordinary Differential Equations 

Continuous Assessment (CA) (Compulsory): The contribution of CA to 

the overall assessment (OA) is 60%. 





MAT2201 Ordinary Differential Equations 6 8 1 


per week 

2 x 50 min 1 x 50 min 13 

36 

Number 


weeks 

Notional 

hours 

Content / Syllabus Second order linear differential equations with constant coefficients, nonhomogeneous 

equations, special methods for particular integrals, variation of 

parameters, higher order differential equations, solution in series, applications. 



60%. 

Precalculus & Calculus I 


MAT1101 Precalculus & Calculus I 5 16 1 


per week 

4 x 50 min 1 x 100 min 13 


Number 


weeks 

Notional 

hours

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. 



Mark x 60%. 

Precalculus & Calculus II 


MAT1201 Precalculus & Calculus II 5 16 2 


per week 

4 x 50 min 1 x 100 min 13 

37 

Number 


weeks 

Notional 

hours 

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). 



Mark x 60%. 

Probability & Distributions II 


STA2101 Probability & Distributions II 6 16 1 


per week 

4 x 50 min 1 x 100 min 13 

Number 


weeks 

Notional 

hours 

Content / Syllabus Combinatorial analysis, axioms of probability, conditional probability and 

stochastic independence. Introduction to the concept of a random variable. 

More detailed treatment of discrete probability distribution, Introduction to 

mathematical expectation and moment generating functions, Jointly distributed 

random variables, independent random variables, marginal and conditional 

distributions. The bivariate normal distribution, Functions of random variables; 

sums of random variables, The central limit theorem. Chebychev’s inequality, 

De-Moivre-Laplace theorem. Poisson approximation to the binomial distribution. 



Mark x 60%. 


PROSPECTUS

Real Analysis I 


MAT2102 Real Analysis I 6 8 2 


per week 

2 x 50 min 1 x 50 min 13 

38 

Number 


weeks 

Notional 

hours 

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. 



60%. 

Software Engineering 1 


CSI3102 Software Engineering I 6 14 1 


per week 

Number 


weeks 

3 x 50 min 1 x 3 hrs 1 x 50 min 14 140 

Notional 

hours 

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, ssadm: data flow diagrams, entity relationship modeling (logical 

data models), modeling with uml: 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. 


Entry rules MATRICULATION: Faculty rules apply 


OTHER (specify): Applicant must have Passed all Second Year Modules, 

CSI2202, CSI2102

Assessment 


rules 

Exclusion from 

module 

Software Engineering II 










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. 


CSI3202 Software Engineering II 7 14 1 


per week 

39 

Number 


weeks 

3 x 50 min 1 x 3 hrs 1 x 50 min 14 140 

Notional 

hours 

Content / Syllabus Theory: Software Engineering principles revisited, Downstream software 

Computing activities, Internet software Architectures and Technologies, 

N-Tier Architectures, CORBA, J2EE 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. 



Assessment 


rules 











PROSPECTUS

Statistical Inference I 


STA1202 Statistical Inference I 5 16 2 


per week 

4 x 50 min 1 x 100 min 13 

40 

Number 


weeks 

Notional 

hours 

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 



Mark x 60%. 

Statistical Inference II 


STA2202 Statistical Inference II 6 16 2 


per week 

4 x 50 min 1x 100 min 13 

Number 


weeks 

Notional 

hours 

Content / Syllabus Estimation: Properties of good estimators. Unbiased estimators. Consistent 

estimators. Maximum like¬lihood, 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 Neyman-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 



60%. 

SCHOOL OF COMPUTING

Statistical Mechanics & Solid State Physics 


PHY3202 Statistical Mechanics & Solid 

State Physics 

Lectures per week Laboratory sessions per week Tutorials 

per week 

41 

7 24 2 

Number 


weeks 

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

Notional 

hrs 

Content / 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: quantized 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: 

polarization, 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 


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. 

Entry Assumptions/Pre-requisites: PHY2101, PHY2202, MAT2101, MAT2102, MAT2201, MAT2202 

Co-requisites: None 


PROSPECTUS

Thermodynamics and Modern Physics 


PHY2202 Thermodynamics and Modern 

Physics 


per week 

42 

6 16 2 

Number 


weeks 

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

Notional 

hrs 

Content / 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, quantization 

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). 




Entry Assumptions/Pre-requisites: PHY1101, PHY1202, MAT1101, MAT1201 

Co-requisites: MAT2101, MAT2201 

11.1.4 Bachelor of Science Honours in Computer Science Programme 

11.1.4.1 Description of Programme 

The Bachelor of Computer Science (Honours) program is taken over one full-time year or 

two part-time years. Entry to the honours program is possible for graduates of other cognate 

disciplines. Enquiries regarding admission should be directed to the Course Coordinator of the 

program. This one year program 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 program are required to complete a project and 

directed electives in computer science. 

Computer Science Honours is a one-year 120 credit program made up of six 15-credit coursework 

modules and an individual, supervised project worth 30 credits. 

SCHOOL OF COMPUTING

At the discretion of the Director of School, two of the coursework modules may be external to 

Computer Science modules. 

As a general guide, full-time students are required to take four modules in the first semester 

and two modules and the project in the second semester. In all cases, modules are examined 

by continuous assessment. 

11.1.4.2. Bachelor of Science Honours in Computer Science Programme 


11.1.4.2.1 NAME OF PROGRAMME 

Bachelor of Science Honours in Computer Science 

11.1.4.2.2 PURPOSE STATEMENT 

The Computer Science program provides students with the advanced skills needed 

for careers involving the design, configuration, and implementation of computer 

systems and software. Topics studied during the program 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 

11.1.4.2.3 RATIONALE OF PROGRAMME 

Computer scientists are required locally, nationally, and internationally in the 

scientific, business and manufacturing industries. An honours degree also naturally 

leads to a research higher degree at master or doctorate level. 

11.1.4.2.4 CAREER OPPORTUNITIES 

Computer Science honours graduates enjoy excellent career prospects as the 

majority of businesses countrywide require personnel skilled in programming, 

computer networks and the database management of computer resources. 

Graduates with an honours degree have a distinct advantage. Students with 

honours can go to more interesting research and development positions in the ICT 

industries because of their extra skills. 

11.1.4.2.5 EXIT LEVEL OUTCOMES 

By the end of the programme learners should be able to: 

1. Create complex software applications and perform detailed systems analysis. 

2. Perform basic research with minimal assistance. 

11.1.4.2.6 PROGRAMME CURRICULUM 

Course Code Course Title Credits Course 

Type 

CSH4200 Research Project 30 Core 

Semester 1: Any three modules including CSH4104 

CSH4101 Advanced Programming (C# ,Java) 15 Elective 

CSH4102 Data Communications and Networking 15 Elective 

CSH4104 Research Methodology 15 Core 

CSH4103 Web Computing 15 Elective 

43 


PROSPECTUS

Semester 2: Any three modules including CSH4203 

CSH4202 Artificial Intelligence 15 Elective 

CSH4204 Database Systems 15 Elective 

CSH4211 Advanced Enterprise Java 15 Elective 

CSH4203 Advanced Algorithms and Data Structures 15 Core 

11.1.4.2.7 ADMISSION REQUIREMENTS 

An E- Applicants must have successfully completed the Bachelor of Computer 

Science or equivalent programme in a cognate discipline with a minimum 60% 

pass. 

11.1.5 Courses in the BSc Honours Programme 

The modules making up the Honours program may vary from year to year. 

Advanced Algorithm and Data Structure 


CSH4203 Advanced Algorithm and Data 

Structure 

Lectures per 

week 


per week 

44 

8 15 1 


weeks 

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

Content / 

Syllabus 

Notional 

hours 

Theory: 1 Frames and Topologies, LAN Features, Building WANs, sensor and Ad 

hoc 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. 


Entry Rules Applicant must have relevant programming experience at undergraduate level 

Assessment 

and 

progression 

rules 


module 



assignments (AA), three tutorial assignments (TA), a practical assessment (PA), an 

examination (EA) and a re-examination (RA). 


examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). 

To qualify for course credit students must obtain an overall assessment of 50%. 

Re-examination (Not compulsory): To qualify for re-examination students must 

obtain an overall assessment of between 40 and 49%. 

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.

Advanced Programming 


CSH4101 Advanced Programming 8 15 1 

Lectures per 

week 


per week 

45 


weeks 

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

Content / 

Syllabus 

Notional 

hours 

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; Recursion; Stream- based file I/O, serialization, 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 

Database Systems 


assignments (AA), three tutorial assignments (TA), a practical assessment (PA), an 

examination (EA) and a re-examination (RA). 


examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) + 40%(EA). 





CSH4202 Database Systems 8 15 1 


per week 


weeks 

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

Notional 

hours 

Content / Syllabus Theory: Introduction and Link up: 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 optimization, Distributed databases: Distribution 

architectures, Distribution design, Distributed query processing and optimization 

, Distributed concurrency control , Distributed reliability protocols, New 

distribution architectures Object-oriented databases, Data Mining : Exploring 

Data, classification, Association analysis, cluster Analysis 


Entry Rules Applicant must have done an undergraduate Database Management Course 


PROSPECTUS

Assessment 


rules 


module 

Enterprise Java 














CSH4211 Enterprise Java 8 15 1 


per week 

46 


weeks 

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

Notional 

hours 

Content / Syllabus Theory: Introduction to Distributed Systems, Java Remote Method Invocation, 

JNDI, Java Message Service. - Java, IDL and Object Request Brokers.- Java 

Database Connectivity.- XML and Java.- JavaMail API; EJB ARCHITECTURE.- 

The EJB Architecture.- Stateless Session EJBs.- Entity EJBs: How to implement 

a container-managed entity EJB.- Gluing EJBs ,Together.- Message-Driven EJBs; 

SERVLETS AND JSPS.- 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.- Bean-managed Persistence.- Stateful Session EJBs.- JEE Connector 

Architecture.- From Java to SVG.- Web Services; DESIGN.- JEE Patterns, AJAX, 

Google Web toolkit 



Assessment 


rules 


module 













course from another university for credit.

Research Methodology 


CSH4104 Research Methodology 8 15 1 


per week 

47 


weeks 

3 x 50 min 1 x 3 hrs 15 150 

Notional 

hours 

Content / Syllabus Theory: Communication and presentation skills, project management, 

scientific and technical writing, experimental design and validation 



Assessment 


rules 


module 

Research Project 














CSH4200 Research Project 8 30 1 


per week 


weeks 

1 x 50 min 1 x 3 hrs 30 300 

Notional 

hours 

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 thesis and presented in a seminar. Additional 

instruction and assistance in thesis preparation, seminar preparation delivery 

will be given. 




PROSPECTUS

Assessment 


rules 


module 

Web Computing 





examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) 









CSH4103 Web Computing 8 15 1 


per week 

48 


weeks 

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

Notional 

hours 

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 


rules 


module 













course from another university for credit.

11.2 Department of Information Technology 

The Information Technology Department offers the National Diploma: Information Technology 

and BTech: Information Technology in different specializations. The National Diploma first 

level of study is common to all the different specializations on all the delivery sites. Students 

undertake their specialisation from their second year of study. The extended programme 

component is common to all the specializations. Students proceed to the second level of study 

in their chosen specialization after completing the extended program component. 

The Department of Information Technology strives towards improving its leadership role in the 

higher education sector with specific reference to the IT industry. It promotes excellence in 

appropriate research and application of technology and offers career orientated diploma and 

B.Tech programmes, in line with the requirements of South African Qualifications Authority 

(SAQA), the Council for Higher Education (CHE) and Higher Education Quality Committee 

(HEQC). Its programs are designed to be relevant to the socio-economic needs of the region 

and the continent in general. 

11.2.1 Programmes Offered by the Department of Information Technology 

11.2.2 National Diploma: Information Technology Programmes 

11.2.2.1 National Diploma: IT (Business Applications) 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Business Applications) 


11.2.2.1.3 RATIONALE 

To provide basic knowledge that is required for the creation and customization 

of total integrated IT solutions to business problems and management of those 

systems. 

Business analysts and information systems developers/specialists are required locally, 

nationally, and internationally in any business organization/industries. 


Programmers, business analysts, information systems specialists, computer/IT 

technician, support service specialists with numerous entrepreneurial opportunities. 


49 


PROSPECTUS


Analyse and design software solutions to industry related Information Technology 

problems. 

Utilise the required technical skills to effectively implement the designed solutions in a 

distributed IT environment. 

Utilise the required technical skill to design and implement solutions in data 

communications, networks and the internet environment. 

Demonstrate the effective utilisation of business and management skills to bridge the 

gap between the IT discipline and the business functional areas in industry. 

Demonstrate the ability to use hardware to its full potential by understanding the 

technical operation of hardware and to control it on a low level. 

Demonstrate the ability to provide support services. 


NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Business Applications) 360 CREDITS 

OVER 3 YEARS 

DELIVERY SITE: IBIKA & CHISELHURST 

STUDY LEVEL 1: ONE YEAR FULL TIME 

COURSE DEPT CODE CREDITS S/Y F/C 

Development Software 1 DEVS1/0 /DEV1120 30 Y C 

Information Systems 1 INSY1/0 /INF1120 30 Y C 


Skills 1 

SITH1/0 /ITB1110 30 Y F 

System Software 1 SYST1/0 /SYS1130 30 Y F 


Applied Statistics 2 APST2/0 30 Y F 


Business Analysis 2 BANL2/0 30 Y C 

Business Accounting 1 BACC1/0 30 Y C 


Management Information 

Systems 3 

MINS3/0 30 Y C 


Business Analysis 3 BANL3/0 30 Y C 

Enterprise Systems 

Technologies 3 

Y: Year S: Semester F: Foundation C: Core 


ENST3/0 30 Y C 

50

11.2.2.1.7 UNDERPINNING KNOWLEDGE 

Knowledge to analyse and design business systems to provide decision support 

on appropriate technology for acquiring and processing knowledge essential for 

innovation, and for betterment of organizational responsiveness, effectiveness 

and /or efficiency. 


11.2.2.1.8.1 NATIONAL SENIOR CERTIFICATE (NSC) 

Minimum statutory NSC requirements for diploma entry must be met i.e. NSC 

achievement rating of 3 (Moderate Achievement, 40-49%) or better in four 

recognised NSC 20-credit subjects. 

COMPULSORY NSC SUBJECTS : NSC achievement rating of at least 4 (50-59%) 

in English as a home language or first additional language level and either 4 (50- 

59%) in Mathematical Literacy or 3 (40-49%) in Mathematics 

11.2.2.1.8.2 GRADE 12/ MATRIC 

11.2.2.1.8.3 FET COLLEGE 

Applicants must have obtained full Matriculation Exemption, Conditional Exemption 

or Mature Age Exemption if the Candidate is 23 years on the year of registration 

with the following subjects: 




An N3 certificate with C symbols for at least four subjects including Mathematics 

and English as well the languages requirements for the Senior Certificate. 

11.2.2.1.8.4 INTERNATIONAL STUDENTS 

Applications from international students are considered in terms of the 

institutional equivalence reference document and (where required) submission 

qualification to SAQA for benchmarking in terms of HEQF 

11.2.2.1.8.5 MATURE AGE ENDORSEMENT 

(as per General Prospectus G1.6) 

11.2.2.1.8.6 PLACEMENT TESTS 

NBT 

Completion of NBT Numeracy and English tests. Points awarded for final school 

results and NBTs tests determine placement of student into 3 year or the 

Extended 4 year Programme. 

11.2.2.1.8.7 RECOGNITION OF CREDITS FROM OTHER INSTITUTIONS 

Not more than 50% of subjects in the Diploma will be exempted in this way 

All exit level subjects should be done in the department. One exit level subject 

may be recognized 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. 

11.2.2.1.9 DISTRIBUTION OF CREDITS OVER THE LEVELS 

Study Level 1: CREDITS 120 (NQF level 5) 

Study Level 2: CREDITS 120 (NQF level 5/6) 

Study Level 3: CREDITS 120 (NQF level 6) 

51 


PROSPECTUS

11.2.2.1.10 PROGRAMME RULES 

11.2.2.1.10.1 PROMOTION RULES 

11.2.2.1.10.2 EXIT RULES 

11.2.2.1.10.2.1 COMPLETION 

11.2.2.1.10.2.2 EXCLUSION 

All core and pre-requisite courses must be completed. 

A minimum of 60 credits must be obtained at the previous level 

All courses and modules must be completed. 

Maximum 3 years plus two additional years allowed. 

A first year main stream student who does not obtain at least 60 credits (2 

subjects) will be excluded from the program on academic grounds. 

11.2.2.2 National Diploma: IT (Communication Networks) 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Communication Networks) 



To provide the basic knowledge that is required to design, develop, implement 

and manage reliable and cost effective computer networks for the purpose of 

communication and information sharing in an organization. 

Computer network specialists/administrators/technicians are required locally, nationally, 

and internationally in any business organization/industries. 


Network Technician, network administrator, support service specialist, computer/IT 

technician with numerous entrepreneurial opportunities. 




problems. 

utilise the required technical skills to effectively implement the designed solutions in a 

distributed IT environment. 

utilise the required technical skill to design and implement solutions in data 

communications, networks, and the internet environment. 

demonstrate the effective utilisation of business and management skills to bridge the gap 

between the IT discipline and the business functional areas in industry. 

demonstrate the ability to use hardware to its full potential by understanding the technical 

operation of hardware and to control it on a low level. 

demonstrate the ability to provide support services. 


52


NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (COMMUNICATION NETWORKS) 360 

CREDITS OVER 3 YEARS 

DELIVERY SITE: IBIKA & CHISELHURST 


COURSE DEPT CODE CREDITS S/Y F/C PRE-REQUISITE 

Development 

Software 1 

Information 

Systems 1 

Information 

Technology Skills 1 

DEVS1/0 DEV1120 30 Y C Admission 

Requirements 

INSY1/0 INF1120 30 Y C Admission 

Requirements 

SITH1/0 ITB1110 30 Y F Admission 

Requirements 

System Software 1 SYST1/0 SYS1130 30 Y C Admission 

Requirements 


Communication 

Networks 2 

CNET2/0 30 Y C System Software 1 

IT Electronics 2 ITEL2/0 30 Y F Admission 

Requirements 

Technical 

Programming 1 

PROT1/0 30 Y C Development 


Distributed Systems 2 DSYS2/0 30 Y C Systems Software 1 


Communication 

Networks 3 

Emerging 


Technical 

Programming 2 

Project 

Management 3 

CNET3/0 30 Y C Communication 

Networks 2 

ETEC3/0 30 Y C Distributed Systems 

2 

PROT2/0 

TPT2110 

30 Y C Technical 

Programming 1 

PMGT3/0 30 Y C Communication 

Networks 2 

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

11.2.2.2.7 UNDERPINNING KNOWLEDGE, DISTRIBUTION OF CREDITS & PROGRAMME 

RULES 

As for National Diploma: Information Technology (Business Applications) above 


11.2.2.2.8.1 NATIONAL SENIOR CERTIFICATE (NSC) 

Minimum statutory NSC requirements for diploma entry must be met i.e. NSC 

achievement rating of 3 (Moderate Achievement, 40-49%) or better in four recognised 

NSC 20-credit subjects. 

COMPULSORY NSC SUBJECTS 

NSC achievement rating of at least 4 (50-59%) in English as a home language or first 

additional language level and 3 (40-49%) in Mathematics 

53 


PROSPECTUS

11.2.2.2.8.2 GRADE 12/ MATRIC 

11.2.2.2.8.3 FET COLLEGE 

Applicants must have obtained full Matriculation Exemption, Conditional Exemption or 

Mature Age Exemption if the Candidate is 23 years on the year of registration with the 

following subjects: 




An N3 certificate with C symbols for at least four subjects including Mathematics and 

English as well the languages requirements for the Senior Certificate. 

11.2.2.2.8.4 INTERNATIONAL STUDENTS 

Applications from international students are considered in terms of the institutional 

equivalence reference document and (where required) submission qualification to 

SAQA for benchmarking in terms of HEQF. 

11.2.2.2.8.5 MATURE AGE ENDORSEMENT 

(as per General Prospectus G1.6) 

11.2.2.2.8.6 PLACEMENT TESTS 

NBT 

Completion of NBT Numeracy and English tests. Points awarded for final school results 

and NBTs tests determine placement of student into 3 year or the Extended 4 year 

Programme. 

11.2.2.3 National Diploma: IT (Software Development) 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Software Development) 


To provide the basic knowledge that is required for the design and production 

of reliable and cost effective software products and systems that meet specified 

needs. 



Programmer, systems developer, database administrator, systems analyst, 

support specialist with numerous entrepreneurial opportunities. 

54

11.2.2.3.4 OUTCOMES 


Analyse and design software solutions to industry related Information 

Technology problems. 

Utilise the required technical skills to effectively implement the designed 

solutions in a distributed IT environment. 

Utilise the required technical skill to design and implement solutions in data 


Demonstrate the effective utilisation of business and management skills to 

bridge the gap between the IT discipline and the business functional areas in 

industry. 

Demonstrate the ability to use hardware to its full potential by understanding 

the technical operation of hardware and to control it on a low level. 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (SOFTWARE DEVELOPMENT) 360 CREDITS OVER 

3 YEARS 

DELIVERY SITE: IBIKA & POTSDAM 



Development Software 1 DEV1120 

DEVS1/0 

Information Systems 1 INF1120 

INSY1/0 

30 Y C Admission 

Requirements 

30 Y C Admission 

Requirements 



Skills 1 

ITB1110 

SITH1/0 

System Software 1 SYST1/0 

SYS1130 



DEVS2/0 


INSY2/0 

Technical Programming 1 PTP1120 

PROT1/0 

Graphic User Interface 

Design 1 

GUD1110 

GUID1/0 



DEVS3/0 


INSY3/0 

55 

30 Y F Admission 

Requirements 


Requirements 

30 Y C Development 


30 Y C Information 

Systems 1 




Requirements 



30 Y C Information 

Systems 2 


PROSPECTUS

Technical Programming 2 TPT2110 

PROT2/0 

System Software 2 SYS2120 

SYST2/0 


30 Y C Technical 

Programming 1 

30 Y C System Software 

1 

11.2.2.3.6 UNDERPINNING KNOWLEDGE, ADMISSION REQUIREMENTS, 

DISTRIBUTION OF CREDITS & PROGRAMME RULES 

As per ND: Information Technology (Business Applications) above 

11.2.2.4 National Diploma: IT (Support Services) 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Support Services) 



To provide the basic knowledge that is required to identify and design solutions for 

various end users and their needs including software packages, maintenance of the 

computer equipments and develop user’s own computer applications. 

End user support technicians/developers are required locally, nationally, and 

internationally in business organizations/industries. 


Computer hardware technicians/maintenance specialist, developer, Computer 

operators, database developers, support specialist/help desks with numerous 

entrepreneurial opportunities. 





problems. 

Utilise the required technical skills to effectively implement the designed solutions in 

a distributed IT environment. 

Utilise the required technical skills to design and implement solutions in data 


Demonstrate the effective utilisation of business and management skills to bridge 

the gap between the IT discipline and the business functional areas in industry. 




56


NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (SUPPORT SERVICES) 360 CREDITS 

OVER 3 YEARS 

DELIVERY SITE: POTSDAM 



Development 


Information 

Systems 1 

Information 

Technology Skills 1 

DEV1120 30 Y C Admission Requirements 

INF1120 30 Y C Admission Requirements 

ITB1110 30 Y F Admission Requirements 

System Software 1 SYS1130 30 Y C Admission Requirements 


Support Services 2 SUP2110 30 Y C Admission Requirements 

Information 

Systems 2 

Graphical User 

Interface Design 1 

Communication 

Networks 2 


INF2120 30 Y C Information Systems 1 

GUD1110 30 Y F Admission Requirements 

CNT2110 30 Y C System Software 1 


Support Services 3 SUP3110 30 Y C Support Services 2 

Information 

Systems 3 

INF3120 30 Y C Information Systems 2 

Systems Software 2 SYS2120 30 Y C Systems Software 1 

Communication 

Networks 3 

CNT3110 30 Y C Communication Networks 

2 





57 


PROSPECTUS

11.2.2.5 National Diploma: IT (Web & Application Development) 

Note: This programme is being phased out and will only be offered at third year level 2011 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (Web and Application Development) 



To provide the basic knowledge that is required to design, create, build and maintain 

enterprise wide web solutions for organizations and business. 

Web designers, developers and maintenance specialists are required locally, nationally, 

and internationally in business organizations/industries. 


Web designers/developers/specialists, database developers, computer/IT technician, 

support service specialists with numerous entrepreneurial opportunities. 



Analyse and design software solutions to industry related Web and Information 

Technology problems. 

Utilise the required technical skills to design and implement solutions in a distributed 

Internet environment. 

Demonstrate the effective utilisation of business and management skills to bridge the 




Demonstrate the ability to provide Web services. 

11.2.2.5.6 PROGRAMME 

CURRICULUM 

NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (WEB AND APPLICATION 

DEVELOPMENT) 360 CREDITS OVER 3 YEARS 

DELIVERY SITE: POTSDAM 




Internet 

Programming 3 

Web Management 

3 

Information 

Systems 3 

INT3120 30 Y C Internet 

Programming 2 

WEB3120 30 Y C Web Management 

2 

INF1130 30 Y C Information 

Systems 2 






58

11.2.2.6. National Diploma: IT (EXTENDED CURRICULUM) 



NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (EXTENDED CURRICULUM) 


The purpose of extending the curriculum is to improve the success and graduation rates 

of students from disadvantaged backgrounds within the National Diploma: Information 

Technology programmes offered by the School of Computing. 

In order to achieve its purpose the programme aims to: 

• Provide students “at risk” with a viable platform to successfully undertake computing 

studies at tertiary education level. 

• Provide students from disadvantaged backgrounds with an adequate level of 

foundational competence which is based on specific and discipline-related computing 

knowledge. 

• Improve the retention and throughput of disadvantaged students entering the 

mainstream programmes. 

• Provide a learning environment where the gap in terms of disadvantaged learner 

needs and the learner support required are bridged. 

The programme will contain, but is not limited to the following enrichment areas: 

• Academic Literacy - will provide learners with the ability to attend to their academic 

needs, manage their academic behaviour, manage their time, and exercise 

personal choices with respect to their academic studies that are both reflective and 

independent. 

• Life Skills – will provide learners with the skills necessary to deal with topical 

psychological and social factors as both an individual and a student. 

• Maths Literacy – will provide learners with the necessary foundation to seek to 

improve their numeric skills by making use of daily examples to instill mathematical 

principles. 

• Communication in English – will provide learners with the effective methods for 

improving interpersonal communication. The importance of this area arises from 

the fact that the majority of information technology related business transactions in 

South Africa are done in English, and does not diminish the importance of any one 

mother tongue. 

• Information Literacy – will capacitate learners in competencies like locating, sifting, 

sorting and evaluating various information sources in order to select what is required 

and present it in a useful way. 


IT specialists are required locally, nationally, and internationally in the ICT and allied 

industries. 


Programmer, systems developer, database administrator, systems analyst, support 

specialist with numerous entrepreneurial opportunities. 

59 


PROSPECTUS



• Analyse and design software solutions to industry related Information Technology 

problems. 

• Utilise the required technical skills to effectively implement the designed solutions in 

a distributed IT environment. 

• Utilise the required technical skill to design and implement solutions in data 


• Demonstrate the effective utilisation of business and management skills to bridge the 


• Demonstrate the ability to use hardware to its full potential by understanding the 


• Demonstrate the ability to provide support services. 


NATIONAL DIPLOMA: INFORMATION TECHNOLOGY (EXTENDED CURRICULUM 

PROGRAMME) 360 CREDITS OVER 4 YEARS 

DELIVERY SITE: CHISELHURST, IBIKA & POTSDAM 

STUDY LEVEL 1A: ONE YEAR FULL TIME 



Skills Extended Year 1 

Information Systems 1 

Extended Year 1 

System Software 1 


*STUDY LEVEL 1B: ONE YEAR FULL TIME 

Development Software 1 



Skills 1 Extended Year 2 






EITS110/ ITB11E0 20 Y F Admission 

Requirements 

EINS110/ INF11E0 20 Y F Admission 

Requirements 

ESYS110/SYS11E0 20 Y F Admission 

Requirements 

EDEV121/ DEV12E1 30 Y F Information 

Technology Skills 


System Software 

1 Extended Year 1 

EITS121/ITB12E1 10 Y F Information 

Technology Skills 


EINS121/INF12E1 10 Y F Information 

Systems 1 


ESYS121/SYS12E1 10 Y F System Software 

1 Extended Year 1 

60

STUDY LEVEL 2: ONE YEAR FULL TIME (120 Credits) 

According to one of the following specializations: 





Web & Application development 

STUDY LEVEL 3: ONE YEAR FULL TIME (120 Credits) 

According to one of the following specializations chosen in Study LEVEL 2: 





Web & Application development 


11.2.2.6.6 ADMISSION REQUIREMENTS, PROGRAMME RULES 

As for National Diploma: Information Technology (Business Applications) 

above 

11.2.2.6.7 PROGRESSION RULES AND EXCLUSION RULES 

Candidates shall only be allowed to register for courses of the second year 

of the programme provided they have passed at least two (2) courses of the 

first year of the programme. 

Candidates shall only be allowed to register for courses of the third year of 

the programme provided they have accumulated at least 90 credits of 

which 45 credits are from second year courses and all pre-requisite courses 

are met. 

Maximum duration of programme is four (4) years plus two (2) additional 

years. 

A first year student who does not obtain 50% of the first year credits will be 

excluded from the programme on academic grounds. 

Candidates who have not completed all of the foundational courses after 

three (3) years full-time study, will not be permitted to re-register for the 

qualification. 

11.2.2.6.8 DISTRIBUTION OF CREDITS 

Study Level 1A: 60 

Credits NQF Level 5 

Study Level 1B: 60 


Study Level 2: 120 

Credits NQF Levels 5/6 

Study Level 3: 120 


61 


PROSPECTUS

11.2.3 Courses in the National Diploma: Information Technology Programme 

Applied Statistics 2 

Course Code Course Name NQF Level Credits Year 

APST1/0 Applied Statistics 2 5 30 1 


per week 


weeks 

5x45 min 0 2x45 min. 25 300 

Notional 

hours 

Content / Syllabus Mathematics (sets, relations, functions, basic logic, and graphs and trees for 

IT) 

Statistics and probability in Information Technology. 

Entry Rules Admission Requirements 

Assessment 


rules 

Business Analysis 2 

Duly Performed (DP): Average of Summative assessments. To qualify for 

examination students must obtain a Duly Performed of 40%. The contribution 

of the duly performed (DP) to the overall assessment (OA) is 40%. 

Examination (EA): One paper based examination. To qualify for Overall 

Assessment (OA) students must obtain an examination mark of 40%. The 

contribution of the examination (EA) to the overall assessment (OA) is 60%. 

Overall Assessment or Final Mark (OA): OA = 40%(DP) + 60%(EA). 

To qualify for course credit students must obtain an overall assessment of 

50%. 

Re-examination: To qualify for re-examination students must obtain an 

overall assessment of between 40 and 49%. 


BANL2/0 Business Analysis 2 5 30 1 


per week 


weeks 

5x45 min 1x45 min. 1x45 min. 25 300 

Notional 

hours 

Content / Syllabus 1. Introduction to Business Management. The Enterprise and its 

Environments. 3. The Enterprise and its field of business. 4. Choice of 

a form of Enterprise and Establishment procedures. 5. Different levels 

of management. 6. Introduction To E-Business And E-Commerce, 7. 

E-Commerce Fundamentals. 8. E-Business Infrastructure, 9. E-Environment, 

10. E-Business Strategy, 11. Supply Chain Management, 12. E-Procurement, 

13. E-Marketing, 14. Customer Relationship Management 


62

Entry Rules Admission criteria 

Assessment 


rules 

Business Analysis 3 









50%. 




BANL 3/0 Business Analysis 3 6 30 1 


per week 


weeks 

3 x 45 min 4 x 45min 0 25 300 

Notional 

hours 

Content / Syllabus Theory: Financial Management module - Fundamentals of Financial 

Management, Working capital management and short-term planning, Longterm 

financial management. MS Excel Module - Visual presentation of data, 

Measures of central tendency, Measures of dispersion, Linear regression 

and correlation analysis, Time series analysis and forecasting, Data analysis 

(Inference), Sampling and Sampling Distributions, Confidence interval 

estimation, Regression analysis, Uncertainty (measuring and modeling), 

Elementary Probability, Probability Distributions, Waiting lines and Queuing 

theory. 

Entry Rules Business Analysis 2 

Assessment 


rules 









50%. 



63 


PROSPECTUS

Communication Networks 2 


CNET2/0 Communication Networks 2 6 30 1 


per week 


weeks 

4 x 40 min 2 x 40min 1 x 40 min 25 300 

Notional 

hours 

Content / Syllabus 1. Communicating over the Network. 2. OSI Layers 3. Ethernet. 4. Planning 

and Cabling Networks. 5. Configuring and Testing Network. 6. Routing and 

Packet Forwarding. 7. Routing Protocols 8. VLSM and CIDR 9. Routing Table 

10. Basic Switch configuration 11.Basic Switch management 12. Designing 

Local Area Networks 13. Virtual Local Area Network and VTP 14. Spanning 

Tree Protocols 15. Introduction to Wireless Routing and Switching 

Entry Rules Systems Software 1 

Assessment 


rules 

Communication Networks 3 









50%. 




CNET3/0 Communication Networks 3 7 30 1 


per week 


weeks 

3 x 45 min 3 x 45 min 1 x 45 min 25 300 

Notional 

hours 

Content / Syllabus Theory: 1. Introduction to Wide Area Networks 2.Wide Area Network 

technologies 3.Introduction to Network Security 4.Access Control Lists and 

Internet Protocol Addressing 5. Quality of Service 6. Advanced Routing 

Practical(Lecturer led): On completion of this module, learners should be able 

to design and implement Virtual Local Area Networks and implement small 

networks across a range of applications and understand quality of service. 

Tutorials (lecturer led): Tutorials are done on the theory mentioned above. 


64

Entry Rules Communication Networks 2 

Assessment 


rules 










50%. 


DEV1120 

DEVS1/0 

Development Software 1 5 30 1 


per week 

2 x 45 min 3 x 45 mins 

(lecturer led) 

2 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Theory: 1. The Software Development Environment 2. General Problem 

Solving 3. Pseudocode 4. Problem Solving Tools & Simple Selection 5. Using 

Visual Basic Console Application 6. Advanced Selection, Iteration and VB 

functions 

Tutorials (lecturer led): Paper based exercises pertaining to theory. 

Practicals (lecturer led): Computer based exercises pertaining to theory. 


Assessment 


rules 









50%. 



65 


PROSPECTUS



DEVS2/0 

DEV2130 



per week 

2 x 45 min 4 x 45 mins 


1 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus 1. Introduction To Visual Basic .Net, .Net Framework And VB IDE 2. Basic 

Data Types And Vb.Net Controls. 3. Debugging and Error handling in Vb.Net. 

4. User Interface Design. 5. User Defined Procedures/Functions. 6. Files, 

Directories And Streams. 7. Web Forms and XML web services 8. Accessing 

Databases In Vb.Net 

Entry Rules Development Software 1 

Assessment 


rules 










50%. 




DEVS 3/0 

DEV3130 



per week 

Number 


4 x 45 min 3 x 45 min 0 25 300 

Notional 

hours 

Content / Syllabus 1. Database Programming using ADO.NET. 2. Advanced Data Updating 

Using Vb.Net 2005. 3. Writing Reports using Crystal Reports. 4. Internet 

Applications using ASP.NET (Web Forms and controls). 5. Web Services. 6. 

Adding Help files to VB.NET. 


66


Assessment 


rules 

Distributed Systems 2 









50%. 




DSYS2/0 Distributed Systems 2 6 30 1 


per week 


weeks 

4 x 45 min 3 x 45 min (Lecturer Led) 0 25 300 

Notional 

hours 

Content / Syllabus Operating Systems Internal Functionality (memory management, process(o)r 

management and file management), Introduction & Architecture Of Distributed 

Computing System, Principles & Paradigms With Distributed Systems, OSI 

Model & Communication In A Distributed System And Communication Models, 

RPC & Client-Server Stubs, Different Types Of Communication, Shell Scripting 

in Linux 

Entry Rules Systems Software 1 

Assessment 


rules 











67 


PROSPECTUS

Emerging Technologies 3 


ETEC3/0 Emerging Technologies 3 7 30 1 


per week 

Number 


3 x 45 min 3 x 45 min 1 x 45 min 25 300 

Notional 

hours 

Content / Syllabus Theory: 1. Wireless 2. Network Security 3. Mobile Computing 4. Real-time 

applications 

Practical(Lecturer led): On completion of this module, learners should 

understand cutting edge technologies. 

Tutorials (lecturer led): Tutorials are done on the theory mentioned above. 

Entry Rules Distributed Systems 2 

Assessment 


rules 

Enterprise Systems Technologies 3 









50%. 


ENST3/0 Enterprise Systems 



per week 

3 x 45 min 3 x 45 min 


6 30 1 

1 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Enterprise Information Systems and Technology Background 

Data Input and Output Capabilities 

Enterprise Resource Planning 

Enterprise Information Systems Life Cycle and ERP Systems Development 


68

Entry Rules Business analysis 2 

Assessment 


rules 

Graphical User Interface Design 1 









50%. 




GUD1110 

GUID1/0 

Graphical User Interface 

Design 1 


per week 

2 x 45 min 3 x 45 mins 


5 30 1 

2 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus 1. Characteristics of Graphical and non-graphical user interface 2.The user 

interface design process 3.The principles of good screen design 4. Introduction 

to HCI 5. Interaction design basics in various application domains 6.Usability 

guidelines, standards and principles 7.Components of GUI/Web interfaces 8. 

Emerging Technologies in I/O devices 


Assessment 


rules 









50%. 

Re-examination: To qualify for re-examination students must obtain an overall assessment of 

between 40 and 49%. 

69 


PROSPECTUS



INF1120 

INSY1/0 

INFORMATION SYSTEMS 1 5 30 1 


per week 

3x45 min 2x45 min 2 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Theory: Module 1: Information Systems and the Internet , Module 2: 

Software, Module 3: Information Processing Cycle, Module 4: Communication 

Networks , Module 5: Computer Security, Ethics and Privacy, Module 6: 

Relational Databases, Module:7 Careers in Information Systems / Technology 

Practical: Module 1:Typing, Internet(WWW), E-mail and FTP, Module 2: 

Calculator paint and File Management, Module 3: Word Processor, Module 4: 

PowerPoint, Module 5: Spreadsheet, Module 6: Access 


Assessment 


rules 










50%. 




INSY2/0 

INF2120 

Information Systems 2 6 30 1 


per week 

Number 


4 x 45 min 3 x 45 min 0 x 45 min 25 300 

Notional 

hours 

Content / Syllabus Theory: 1. The Systems Development Environment, 2. Systems Planning, 

3. Systems Analysis: Determining Systems Requirements, 4. Systems 

Analysis: Modeling System Requirements, 5. Database Systems, 6. Designing 

Databases, 7. Evaluating Alternatives For Requirements, Environment, And 

Implementation, 8. Designing The User Interface, 9. Systems Implementation, 

10. Systems Analysis: Modeling System Requirements, 11. Database Systems, 

12. Designing Databases 


70

Entry Rules Information Systems 1 

Assessment 


rules 










50%. 




INSY3/0 

INF3120 

Information Systems 3 6 30 1 


per week 


weeks 

4 x 45 min 3 x 45 min 0 x 45 min 25 300 

Notional 

hours 

Content / Syllabus 1. Entity Relationship (ER) Modeling, 2. Advanced Data Modeling, 3. Transaction 

Management And Concurrency Control, 4. Distributed Database Management 

Systems, 5. The Data Ware House, 6. Database Design Using MySQL, 7. 

SQL Server 2005: Databases And Application Development, 8. It Project 

Management, 9. E-Commerce And Internet (Excluded on Potsdam Campus) 

Entry Rules Information Systems 2 

Assessment 


rules 









50%. 



71 


PROSPECTUS

Information Technology Skills 1 


SITH1/0 

ITB1110 


Skills 1 


per week 

4 x 45 min 3 x 45 min 


5 30 1 

Content / Syllabus 1. Academic Skills 2. Communication Skills 

3. Legal issues in IT 

4. Entrepreneurship 

5. Introduction to Maths & Stats as applied to Business 

6. Introduction to Logical Reasoning 

7. HIV/AIDS 


Assessment 


rules 

Internet Programming 3 


weeks 

25 300 

Notional 

hours 









50%. 




INT3120 Internet Programming 3 6 30 1 


per week 


weeks 

3 x 45 min 4 x 45min 0 25 300 

Notional 

hours 

Content / Syllabus Design of web based programs using php as the base language. Programs 

to run on the Apache web server, Design and building of data bases using 

mySQL Links to Web 3, Construction of dynamic web based data bases. 


72

Entry Rules Internet Programming 2 

Assessment 


rules 

IT Electronics 2 









50%. 




IT ELECTRONICS II 6 30 1 


per week 


weeks 

3 x 45 min 3 x 45 min 1 x 45 min 25 300 

Notional 

hours 

Content / Syllabus IT Mathematics : 1. Binary Review, 2. Computer Codes, 3. Zoned Decimal 

and Packed Decimal Formats, 4. Computer Arithmetic, 5. Representation 

of Numbers in the Computer, 6. Methods of proof, 7. Theory of Sets, 8. 

Fundamentals of logic, 9. Algebraic Structures, 10.Functions 

Computer Architecture : 1. Digital Logic, 2. Digital Systems, 3. Machine 

Level Representation of Data, 4. Assembly Level Machine Organization, 

5. Memory System Organization and Architecture, 6. Interfacing and 

Communication, 7. Alternative Architectures. 


Assessment 


rules 









50%. 

73 


PROSPECTUS

Management Information Systems 3 


MINS3/0 Management Information 

Systems 3 


per week 

6 30 1 


weeks 

3 x 45 min 3 x 45min 1 x 45 min 25 300 

Notional 

hours 

Content / Syllabus Commercial Law: Sale and Acquisition of Goods, Credit and Security, 

Consumer Credit and protection, Company law, close corporations, law of 

partnerships, information technology legislation issues 

E-Commerce: Web-based tools for Electronic Commerce, Implementing 

Security for Electronic Commerce, Electronic Payment Systems , B2B Strategies, 

Impacts and Issues of Electronic Commerce, Design and Implementation of a 

web-based trading software 

Entry Rules Business Analysis 2 

Assessment 


rules 

Project Management 3 









50%. 




PMAN3/0 Project Management 3 7 30 1 


per week 


weeks 

4 x 40 min 2 x 40min 1 x 40 min 25 300 

Notional 

hours 

Content / Syllabus Theory : 1. Project Management Overview, 2. PM in IT Context, 3. Project 

Integration 4. Project Management of Scope, Time, Cost, Quality, Human 

Resource, Communications and Risk. 

Practical : Network Project 


74

Entry Rules Communication Networks 2 

Assessment 


rules 

Support Services 2 









50%. 




SUP2110 Support Services 2 6 30 1 


per week 

2 x 45 min 3 x 45 min 


2 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Legal, ethical and professional issues in information security. Risk 

management and security planning. Security Technology: Firewalls, VPNs, 

Intrusion detection, Access control. Physical security. Security implementation 

and maintenance 


Assessment 


rules 









50%. 

Re-examination: To qualify for re-examination students must obtain an overall assessment of 

between 40 and 49%. 

75 


PROSPECTUS

Support Services 3 


SUP3110 Support Services 3 6 30 1 


per week 

3 x 45 min 4 x 45 min 


Number 


0 25 300 

Notional 

hours 

Content / Syllabus Theory: 

Help-desk technology. Computer user support principles. Information Center 

Principles and Administration. Industrial Trends in Support Services. Project. 

Entry Rules Support Services 2 

Assessment 


rules 










50%. 




SYST1/0 

SYS1130 

System Software 1 5 30 1 


per week 

2x45 min 2x45 min 2x45 min. 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Theory: 1. Introduction to the personal computer 2.Number Systems 3. Safe lab 

procedures and tools to use 4. Computer assembly 5. Preventative maintenance 

and troubleshooting 6. Fundamentals of operating systems 7. Fundamental 

laptops and portable devices 8. Printers and scanners 9. Networks 10. Security 

11. Communication skills 

Tutorials (lecturer led): N/A 

Practicals (lecturer led): Computer based exercises pertaining to theory 


76


Assessment 


rules 










50%. 




SYS2130 

SYST2/0 

System Software 2 5 30 1 


per week 

Number 


4 x 45 min 3 x 45 min (Lecturer Led) 0 25 300 

Notional 

hours 

Content / Syllabus Theory 1. History and Evolution of Operating systems 2. Memory Management 

3. Process(or) Management 4. File Management 5. Device Management 

6. Introduction to Virtual Machine technologies 7. Server Administration 

(Proprietary & Open Source Environments) 8. User and Group Supervision 9. 

Printer Services 10. Troubleshooting techniques 11. Introduction to System 

Security 

Entry Rules System Software 1 

Assessment 


rules 









50%. 



77 


PROSPECTUS

Technical Programming 1 


PROT1/0 

PTP1130 

Technical Programming 1 5 30 1 


per week 

2 x 45 min 3 x 45 mins 


2 x 45 min 



weeks 

25 300 

Notional 

hours 

Content / Syllabus Theory: 1. Basic elements of C++ 2. Understand the usage of input and 

output streams 3. control structures and describe their usage 4. Use of arrays 

in a program 5. Functions/methods 6. Overview of Java 7. Object-oriented 

Programming Concepts 8. Review of Programming elements in relation to Java 

9. Basic Input and Output in Java 

Tutorials (lecturer led):.Same topics discussed in theory classes. Learners 

broken down into smaller groups to discuss these topics with examples. 

Practical (lecturer led):.Learners get to work on their individual and group 

projects. These projects demonstrate the Learner’s understanding of how to 

apply the Design Guidelines discussed in Theory Classes. 


Assessment 


rules 

Technical Programming 2 







Overall Assessment or Final Mark (OA): OA = 40 %( DP) + 60 %( EA). 


50%. 




PROT2/0 

PTP2120 

Technical Programming 2 6 30 1 


per week 

3 x 45 min 4 x 45 mins 



weeks 

0 25 300 

Notional 

hours 

Content / Syllabus 1. Object Oriented Programming 2. Control Structures 3. Data Structures 

4. Inheritance and Aggregation 5. Interfaces and Packages, 6. Exceptions, 7. 

File Management, Streams and I/O 8. Graphical User Interface –Containers 9. 

GUI-Layout 10. JDBC Database Connectivity 11. Threads 


78

Entry Rules Technical Programming 1 

Assessment 


rules 

Web Management 3 









50%. 




WEB3120 Web Management 3 6 30 1 


per week 

Number 


3 x 45 min 4 x 45min 0 25 300 

Notional 

hours 

Content / Syllabus Implementation of the principles of XHTML in the design of pages. 

Construction of simple flash movie files using macromedia studio. Design and 

build a website using a package such as dream weaver. 

Entry Rules Web Management 2 

Assessment 


rules 









50%. 



79 


PROSPECTUS

11.2.4 Courses in the Extended Curriculum of the National Diploma: IT Programme 

11.2.4.1 Enrichment Modules Integrated Into The National Diploma Regular 

Courses 

Academic Literacy and Communication in English 

Deals with the English language proficiency and will provide learners with the ability to attend 

to their academic needs, manage their academic behaviour, manage their time, and exercise 

personal choices with respect to their academic studies that are both reflective and independent 

Information Literacy 

Provides the means to capacitate learners in competencies like locating, sifting, sorting and 

evaluating various information sources in order to select what is required and present it in a 

useful way. 

Communication in English 

Provides learners with effective methods for improving interpersonal communication. The 

importance of this area arises from the fact that the majority of Information Technology related 

business transactions in South Africa are done in English, and does not diminish the importance 

of any one mother tongue. 

Life Skills 

Equips students with life management skills, personal finance, encourages them to be 

responsible citizens and will provide learners with the skills necessary to deal with topical 

psychological and social factors as both an individual and a student. 

Mathematical Literacy 

Deals with the application of mathematics in everyday life activities and in business. The 

objective of the course is to make students aware of the systematical approach in IT subjects 

such as Development Software and to serve as a basis for the more specialised fields of study. 

11.2.4.2 Courses 

Development Software 1 ext-year2 


DEV12E1 / 

EDEV121 

Lectures per 

week 

4 x 45 min 4 x 45 mins 






per week 

80 

5 30 1 

4 X 45 mins 



weeks 

25 600 

Notional 

hours

Content / 

Syllabus 

Core subject 

Learners are taught how to analyse problems and how to write logically correct 

algorithmic solutions using pseudocode and the VB.Net (Console Application) 

programming language. Learners are introduced to the concept of the Program 

Development Cycle and taught how to use some of the tools associated with each 

stage. 

Note: Foundational provision is in the form of additional time. 

Theory: 1. The Software Development Environment 2. General Problem Solving 

3. Pseudocode 4. Problem Solving Tools & Simple Selection 5. Using Visual Basic 

Console Application 6. Advanced Selection, Iteration and VB functions 

Tutorials (lecturer led): Paper based exercises pertaining to theory. 

Practicals (lecturer led): Computer based exercises pertaining to theory. 

Entry Rules Information Technology Skills Extended Year 1 and System Software 


Information Systems 1 ext-year1 

Module Code Module Name NQF Level Credits Year 

EINS110/ 

INF11E0 

INFORMATION SYSTEMS I 



per week 

5 20 1 

Number 


2 x 45 min 2 x 45 min 0 25 180 

Enrichment module 

2 x 45 min 

0 0 25 80 

Notional 

hours 

Content / Syllabus Information Systems course, in the first year, teach students to effectively use 

some common application software that are used in office and business. It 

includes a word processor (Microsoft Word), a spreadsheet (Microsoft Excel), 

and presentation software (Microsoft Powerpoint). The students will also 

learn how to use internet effectively to access information and will use e-mail 

for communication. 

Note: Foundational provision is in the form of additional time and includes 

Life Skills enrichment. 

Theory: Theory: 1. Module 1: Information Systems and the Internet , 

Module 2: Software, Module 3: Information Processing Cycle. 

Practical: Module 1: Typing, Internet(WWW), E-mail and FTP, Module 2: 

Calculator paint and File Management, Module 3: Word Processor, Module 4: 

Powerpoint 

Information Systems 1 ext-year2 


EINS121 / INF12E1 INFORMATION SYSTEMS I 



per week 

5 10 1 


weeks 

2 x 45 min 3 x 45 min 0 25 200 

Enrichment module 

3 x 45 min 

0 0 25 120 

81 

Notional 

hours 


PROSPECTUS

Content / Syllabus In the second year of this course, learners will be taught the basic principles 

of computer processing. The students will be aware of various IT professions 

and the skills required in each of these specialized fields. The learners will 

be aware of the various types of threats to computer systems and will know 

the basic precautions to be taken to use the computer system in a secure 

environment. The learners will appreciate the impact of computers on the 

modern society and how computers could be used to improve the lives of 

people. Learners will use a relational database and spreadsheet. 


Information Literacy enrichment. 

Theory: 1. Communication networks, 2. Database management, 3. Computer 

security, ethics & privacy, 4. Careers in information systems / technology 

Practical: 1. Spreadsheet, 2. Databases(Relational databases) 

Information Technology Skills 1 ext-year 1 


ITB11E0/EITS110 IT SKILLS 1 Extended Year 

1 


per week 

2 x 45 min 0 2x 45 min 


Enrichment Module 

(6 x 45) 

5 20 1 


weeks 

25 180 

0 0 25 250 

Notional 

hours 

Content / Syllabus The course concentrates on developing specific skills in an IT environment. It 

covers study skills and research skills, oral and written communication skills. 

The students will learn how to work effectively in a group, how to manage 

stress and conflict and will also gain a general understanding of the various 

legal aspects that are applicable in the IT industry. Students will also be 

introduced to logical reasoning needed in problem solving in the IT context. 


Academic Literacy and Communication in English enrichment. 

1. Academic Skills 2. Communication Skills 

3. Legal issues in IT 


Information Technology Skills 1 ext-year 2 


ITB12E1/EITS121 IT SKILLS 1 Extended Year 

2 


per week 

2 x 45 min 0 1 x 45 min 



82 

5 10 1 

Number 


25 120 

Notional 

hours

Content / Syllabus The course will reinforce the skills students have learnt during the first year 

and will cover entrpreneurship and the basic business principles in an IT 

environment. Students will also be introduced to Maths and Stats as applied 

to business. The final module covers the issues of HIV/AIDS. 

Note: Foundational provision is in the form of additional time . 


5. Entrepreneurship 

6. Introduction to Maths & Stats as applied to Business 

7. HIV/AIDS 

System Software 1 ext-year1 


ESYS110/SYS11E0 System Software 

1 Extended 

5 20 1 

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

hours 

Core subject 

3 x 45 min 

Enrichment Module 

8x45 min 

Core subject 

1 x 45 min 

0 25 180 

0 0 25 350 

Content / Syllabus Systems software course makes students aware of the relationship between 

hardware and the software. The course mainly deals with the hardware 

concepts. Students will be taught to identify the various hardware components 

that make up a computer system and explain the purpose and characteristics 

of each of them. They will be taught to assemble a computer using the 

individual components. Learners will also learn the basic precautions to be 

taken when handling and using these components. The course will also 

include the concepts of basic preventive maintenance and troubleshooting. 

Students will learn how to upgrade theomputer systems to have multimedia 

capabilities. They will also learn the basic concepts of networking of computer 

systems. 

Note: Foundational provision is additional time and Mathematical Literacy 

enrichment. 

Theory: Module1: Introduction to the Personal Computer, Module2: 

Numbering Systems, Module3: Safe Labs Procedures and tool used, 

Module4: Computer Assembly –step by step, Module5: Basic of Preventative 

Maintenance and Troubleshooting and Module 6. Fundamental operating 

Systems Module8: Multimedia Capabilities, Module9: Network Fundamentals, 

Module10: Advanced Hardware. 

Practicals: Online Practicals and Labs (Simulation program: to assembly a 

computer) 

83 


PROSPECTUS

System Software 1 ext-year2 


ESYS121/ 

SYS12E1 

System Software Extended 

Year 2 


per week 

5 10 1 


weeks 

2 x 45 min 1 x 45 min 0 25 120 

Notional 

hours 

Content / Syllabus In the second year, the course covers the concept of multimedia computer 

systems. Students will learn how to upgrade the computer systems to have 

multimedia capabilities. They will also learn the basic concepts of networking 

of computer systems. They will learn the various types of topologies and will 

be able to select a particular topology for specific environments. They will 

be able to install, maintain and troubleshoot various peripheral devices like 

printers along with an existing computer system. 

Note: Foundational provision is in the form of additional time. 

Theory: Module8: Multimedia Capabilities, Module9: Network Fundamentals, 

Module10: Advanced Hardware, Module11: Printers and Printing, Module12: 

Upgrading PC components, Module13: Preventative Maintenance Safety, 

Module14: Troubleshooting PC hardware, Module15:Troubleshooting Software 

11.2.5 Bachelor of Technology: Information Technology Programme 

11.2.5.1 Description of Programme 

The Bachelor of Technology: Information Technology programme is taken over one full-time 

year or two part-time years in two specializations: Communications Networks or Software 

development. This one year programme is normally undertaken by students with an excellent 

academic record in the National Diploma: Information Technology 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. 

11.2.5.2 Programme Information 

The Bachelor of Technology: Information Technology is a one-year 120 credit programme made 

up of eight 12-credit coursework modules and an individual, supervised project worth 24 credits. 

11.2.5.3 Bachelor of Technology: Information Technology (Communication 

Networks) 



Bachelor of Technology: Information Technology (Communication Networks) 



Thee programme provides students with the advanced skills needed for careers 

involving the design, configuration and implementation of computer networks. 

84


Information Technologists are required locally, nationally, and internationally in the 

scientific, business and manufacturing industries. A BTech degree also naturally leads 

to a research higher degree at master or doctorate level. 


Graduates enjoy excellent career prospects as the majority of businesses countrywide 

require personnel skilled in programming, computer networks. Students can go to 

more interesting research and development positions in the ICT industries because of 

their extra skills. 

85 


PROSPECTUS


Manage and control an IT environment by applying management skills and strategies 

(C) 

To demonstrate an ability to understand and apply advanced Communication Network 

principles. (C) 

Apply advanced techniques in the design and implementation of solutions to IT 

oriented problems. 

Apply advanced techniques in the analysis and design of IT software systems (E) 

Apply advanced techniques in the planning and design of network systems and 

infrastructures (C) 

Demonstrate the ability to plan and integrate the User Interface with the design of a 

production system. (E) 

Apply advanced techniques in analysis, design and implementation of a database/ 

knowledge base system. (E) 

Apply advance techniques in the introduction and control of information security in an 

IT environment. (E) 

Inter-relate various operating systems, application systems, databases, etc. into a 

single operating environment. (E) 

Develop and implement an expert system. (E) 

Apply research techniques to analyse and design effective solutions for IT problems. 

(E) 

Effectively document proposed solutions. (E) 

Explain the concepts of artificial intelligence and commercial applications that can 

result from it. (E) 

Develop and implement local area network. (C) 

Develop and implement advanced Internet and web solutions. (E) 

Develop and implement advanced solutions for intelligent industrial systems. (E) 

Manage end user call centres. (E) 

Develop and implement advanced technical systems. (E) 

Demonstrate the ability to produce a professionally prepared dissertation. (E) 

Demonstrate the ability to produce professionally prepared progress reports on work 

done as part of the industry exposure needed for this qualification. (E) 

Effectively administer a certain IT specialist field. 

Administer the design and implementation of business applications (E) Administer the 

design and implementation of software and database systems. (E) 

Administer a network and data communications environment. (C) 

Administer the full utilization of Web development and Internet solutions. (E) 

Administer the design and implementation of intelligent industrial system applications 

(E) 

Administer support services systems (E) 

Administer the design and implementation of technical applications (E) 

Administer a hardware and computer architecture environment. (E) 


Course Code Course Title Semester Credits Course 

Type 

RESM4/0 Research Methodology 1&2 12 Core 

PROJ4/0 Projects IV 1&2 24 Core 

OPES4/0 Operating Systems IV 1 12 Core 

FUMA4/0 Functional Management IV 1 12 Core 

CNET4/0 Communication Networks IV 1 12 Core 


86

Course Code Course Title Semester Credits Course 

Type 

CSEC4/0 Computer Security IV 2 12 Core 

PMAN4/0 Project Management IV 2 12 Core 

ITMA4/0 Information Technology Management IV 2 12 Core 

ADEV4/0 Advanced Development Software IV 2 12 Core 


Applicants must have successfully completed the National Diploma or equivalent 

programme in a cognate discipline with a minimum 60% pass. 

11.2.5.4 Bachelor of Technology: Information Technology (Software 

Development) 



Bachelor of Technology: Information Technology (Software Development) 


Thee programme provides students with the advanced skills needed for careers 

involving the design, configuration and implementation of computer networks. 


Information Technologists are required locally, nationally, and internationally in the 

scientific, business and manufacturing industries. A BTech degree also naturally leads 

to a research higher degree at master or doctorate level. 


Graduates enjoy excellent career prospects as the majority of businesses countrywide 

require personnel skilled in programming, computer networks. Students can go to 

more interesting research and development positions in the ICT industries because of 

their extra skills. 

87 


PROSPECTUS


Apply the required strategies to manage an IT specialist area. 

Manage and control an IT environment by applying management skills and strategies 

(c) 

To demonstrate an ability to understand and apply advanced software development 

principles. (C) 

Apply advanced techniques in the design and implementation of solutions to IT 

oriented problems. 

Apply advanced techniques in the analysis and design of IT software systems (E) 

Develop and implement advanced software systems (C) 

Apply advanced techniques in the planning and design of network systems and 

infrastructures (E) 

Demonstrate the ability to plan and integrate the User Interface with the design of a 

production system (E) 

Apply advanced techniques in analysis, design and implementation of a database/ 

knowledge base system (E) 

Apply advance techniques in the introduction and control of information security in an 

IT environment (E) 

Inter-relate various operating systems, application systems, databases, etc. into a 

single operating environment (E) 

Develop and implement an expert system (E) 

Apply research techniques to analyse and design effective solutions for IT problems. 

(E) 

Effectively document proposed solutions (E) 

Explain the concepts of artificial intelligence and commercial applications that can 

result from it. (E) 

Develop and implement local area networks (E) 

Develop and implement advanced Internet and web solutions. (E) 

Develop and implement advanced solutions for intelligent industrial systems. (E) 

Manage end user call centres. (E) 

Develop and implement advanced technical systems. (E) 

Demonstrate the ability to produce a professionally prepared dissertation. (E) 

Demonstrate the ability to produce professionally prepared progress reports on work 

done as part of the industry exposure needed for this qualification. (E) 

Effectively administer a certain IT specialist field. 

Administer the design and implementation of business applications (E) 

Administer the design and implementation of software and database systems (C) 

Administer a network and data communications environment. (E) 

Administer the full utilization of Web development and Internet solutions. (E) 

Administer the design and implementation of intelligent industrial system applications. 

(E) 

Administer support services systems. (E) 

Administer the design and implementation of technical applications. (E) 

Administer a hardware and computer architecture environment. (E) 


Course 

Code 

Course Title Semester Credits Course 

Type 

RESM4/0 Research Methodology 1&2 12 Core 

PROJ4/0 Projects IV 1&2 24 Core 

DEVS4/0 Development Software IV 1 12 Core 

FUMA4/0 Functional Management IV 1 12 Core 


88

Course 

Code 

Course Title Semester Credits Course 

Type 

SOFE4/0 Software Engineering 1 12 Core 

ATEC4/0 Application Technology IV 2 12 Core 

DATB4/0 Database Systems IV 2 12 Core 

ITMA4/0 Information Technology Management IV 2 12 Core 

ADEV4/0 Advanced Development Software IV 2 12 Core 


Applicants must have successfully completed the National Diploma or equivalent 

programme in a cognate discipline with a minimum 60% pass. 

11.2.6 Courses in the BTech: Information Technology Programmes 

Advanced Communication Networks IV 


ACNE 4/0 Advanced Communication 

Networks IV 


per week 

7 12 1 


weeks 

3 x 45 min 4 x 45 min 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Description of Network Requirements; Introducing VoIP Networks; 

Digitizing and Packetizing Voice Encapsulating Voice Packets for Transport; 

Calculating Bandwidth Requirements; Implementing Voice Support in an 

Enterprise; Introduction to IP QoS; Identifying Models for Implementing QoS; 

Methods for Implementing QoS; DiffServ QoS Model; AutoQoS; Wireless 

Scalability 


Advanced Development Software IV 


the examination (EA) to the overall assessment (OA) is 60%. OA = 60%(EA) 

+ 40%(CA). To qualify for course credit students must obtain an overall 



ADEVS 4/0 Advanced Development 

Software IV 


per week 

7 12 2 


weeks 

3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Introduction to Software Development; Introduction to Object- 

Oriented Design; Collections; Recursion; Linked Lists; Stacks and Queues; 

Searching and Sorting Algorithms; 

Binary Trees. 

89 


PROSPECTUS

Entry Rules Admission criteria: National Diploma (IT) in Information 

Technology 

Assessment 


rules 


module 

Application Technology IV 



+ 60%(EA). To qualify for course credit students must obtain an overall assessment 






ATEC 4/0 Application Technology IV 7 12 2 


per week 


weeks 

3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus 1. E-Commerce Fundamentals 2. E-Commerce Management 3. Introduction to 

Web Development 3. Review of Web Technologies 4. Client side scripting 5. 

Server side Scripting 6. Three Tier Models for Web Development 7. E-Commerce 

Development: A Case Study 

This course builds on Software Engineering IV. Learners apply the knowledge 

and skills applied to develop a non-trivial web-based application. 


Assessment 


rules 


module 

Communication Networks IV 

100% continuous evaluation. 

Students will be given assignments and test papers and are required to develop 

projects as per the requirements listed in the detailed study programme. 

Individual participation in practical activities and attendance of lectures and 

practical sessions will also be assessed. 





CNET 4/0 Communication Networks IV 7 12 1 


per week 


weeks 

3 x 45 min 4 x 45 min 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: 

Overview of Scalable Internetworks; Routing Overview including IP Addressing 

Schemes; RIPv2 

EIGRP ; OSPF; IS-IS; Route Optimization; BGP; IP Multicasting and IPv6 Addressing 


90


Computer Security IV 



+ 40%(CA). To qualify for course credit students must obtain an overall assessment 



CSEC 4/0 Computer Security IV 7 12 1 


per week 

Number 


3 x 45 min 4 x 45 min 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Introduction to Computer Security; Cryptography; Identification 

and Authentication; Access Control; Database Security; Intrusion Detection, 

Firewalls and Intrusion Prevention 


Database Systems IV 



+ 40%(CA). To qualify for course credit students must obtain an overall assessment 



DATB 4/0 Database Systems IV 7 12 2 


per week 

Number 


3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Introduction to Databases and Databases Users; Database System 

Concepts and Architecture; Data Modeling using Entity-Relationship(ER) 

Model; Data Modeling using the Enhanced Entity-Relationship(EER) Model; 

The Relational Data Model and Relational Database Constraints; Relational 

Database Design by ER- and EER-to-Relational Mapping; 

The Relational Algebra; SQL-99: Schema Definition, Constraints, and Queries 

and Views; Functional Dependencies and Normalization for Relational 

Databases 

To enable the students master some of the advanced program design and 

problem solving skills including various data structures. 


Technology 

Assessment 


rules 





Exclusion from module A student will be excluded from the course after failing the module twice. A 



91 


PROSPECTUS

Development Software IV 


DEVS 4/0 Development Software IV 7 12 2 


per week 

52 92 


weeks 

3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Object oriented programming and methodologies, Object Oriented 

Analysis and Design, Design and analysis using UML, Analysis and design 

patterns, Components, Subject and Aspect oriented programming. 


Assessment 


rules 


module 

Functional Management IV 









FUMA4/0 Functional Management IV 7 12 1 


per week 


weeks 

6 x 45 min none 1 x 45 min 15 120 

Content / Syllabus Theory: Management Theory; Planning; Leading; Organizing 

Entry Rules Admission criteria: National Diploma (IT) in Information Technology 

Assessment 


rules 


module 

Functional Management IV 

Notional 

hours 









ITMA 4/0 Information Technology 

Management IV 


per week 

7 12 2 


weeks 

3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 


Notional 

hours

Content / Syllabus Theory: Information Technology in the Organization, Information 

Technology concepts and management, Organizational Applications/ 

Uses of Information Systems, Strategic use of Information Technology in 

Digital Economy, Transaction Processing, Functional Applications, CRM, and 

Integration, Enterprise systems : from supply chains to ERP to CRM, Using 

Information Technology for Strategic Advantage, Acquiring IT Applications 

and Infrastructure, Implementing and managing Information technology, 

Managing Information’s resources and security. 


Assessment 


rules 


module 

Operating Systems IV 


examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) 







OPES 4/0 Operating Systems IV 7 12 1 


per week 


weeks 

3 x 45 min 4 x 45 min 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Operating Systems Structures; Characteristics of Modern Distributed 

Systems; System models; Process Management (processes, threads, 

CPU scheduling, synchronization, and deadlock), Memory Management 

(segmentation, paging, swapping), file systems, and operating system support 

for distributed systems. Unix/linux will be used as a case study to illustrate the 

underlying operating systems principles and shell scripting. 


Project IV 






PROJ 4/0 Project IV 7 24 1 


per week 

Number 


3x45 min none 1 x 45 min 30 240 

Notional 

hours 

Content / Syllabus Theory: Conducting research and writing deliverables or a dissertation. 


Technology 

93 


PROSPECTUS

Assessment 


rules 


module 

Project Management IV 

Examination (None): Continuous Evaluation. Overall Assessment = 

100%(CA). To qualify for course credit students must obtain an overall 






PMAN 4/0 Project Management IV 7 12 1 


per week 


weeks 

3 x 45 min 4 x 45 min 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus Theory: Introduction to Project Management; Project Planning; Project 

Evaluation; Selection of project approaches; Effort Estimation; Activity 

Planning; Risk Management; Resource Allocation; Monitoring and Control; 

Managing Contracts; Managing people and organizing teams; Project Quality 

Aspects; 


Research Methodology IV 






RESM4/0 Research Methodology IV 7 12 1 


per week 


weeks 

4 x 45 Mins none 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus To equip students with basic skills in research. Students will learn how to 

choose a research topic, how to discover new knowledge using different 

research techniques, and how to present research findings 

Theory: Using Statistics; Surveys; Case Studies and Experiments; Overview 

of Research Methods; Formalities, Psychology, Ethics and Philosophy; 

Reporting. 


Technology 

Assessment 


rules 


module 


Examination (None): Continuous Evaluation. Overall Assessment = 

100%(CA). To qualify for course credit students must obtain an overall 





94

Software Engineering IV 


SOFE 4/0 Software Engineering IV 7 12 2 


per week 

95 


weeks 

3 x 45 min 1 x 3 hrs 1 x 45 min 15 120 

Notional 

hours 

Content / Syllabus 1. Introduction to Software Engineering 2. Methodologies: A Historical 

Perspective 3. Software Development Teams 4. Globally Distributed Software 

Development 5. Modeling in OOP 6. Requirements Analysis 7. Requirements 

Design 8. Re-usable Component 

The course introduces learners to modern software development 

methodologies, e.g., RUP, Agile and Open Source Models. Strong emphasis is 

placed on teamwork. 


Assessment 


rules 


module 



+ 40%(EA). 





PROSPECTUS

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96 

SCHOOL OF COMPUTING

Contact Details 

www.wsu.ac.za 

Mthatha Campus 

Nelson Mandela Drive Site: +27 (0) 47 502 2111/2844 

Zamukulungisa Site: +27 (0) 47 501 1400 

Nkululekweni Site: +27 (0) 47 502 2111/2844 

Butterworth Campus 

Ibika Site: +27 (0) 47 401 6000 

Buffalo City Campus 

Potsdam Site: +27 (0) 43 708 5200 

College Street Site: +27 (0) 43 702 9200 

Cambridge Street Site: +27 (0) 43 704 4800 

Chiselhurst Site: +27 (0) 43 709 4000 

Buffalo City Stadium Site: +27 (0) 43 702 9200 

Heritage Building Site: +27 (0) 43 703 8500 

Queenstown Campus 

Whittlesea Site: +27 (0) 40 842 6800

School of Computing prospectus 2012 - Walter Sisulu University

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