School of Computing prospectus 2012 - Walter Sisulu University
School of Computing prospectus 2012 - Walter Sisulu University
School of Computing prospectus 2012 - Walter Sisulu University
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Database Management Systems<br />
Module Code Module Name NQF Level Credits Semester<br />
CSI3201 Database Management Systems 7 14 1<br />
Lectures per week Pracs per week Tutorials<br />
per week<br />
22<br />
Number<br />
<strong>of</strong> weeks<br />
3 x 50 min 1 x 3 hrs 1 x 50 min 14 140<br />
Notional<br />
hours<br />
Content / Syllabus Theory: File Systems and Databases, The Relational Database Model, Structured<br />
Query Language (SQL), Entity Relationship (E-R) Modeling, Normalisation <strong>of</strong><br />
Database Tables, Database Design, Transaction Management and Concurrency<br />
Control, Distributed Database Management System, Object-Oriented Databases,<br />
Database Administration, Database and The Internet.<br />
Practicals: Consist <strong>of</strong> 5 labs based on what is covered during lectures.<br />
Entry Rules Applicant must have Passed all Second Year Modules, CSI2202, CSI2102<br />
Assessment<br />
and progression<br />
rules<br />
Continuous Assessment (CA) (Compulsory): Two class tests (CT), five<br />
assignments (AA), three tutorial assignments (TA), a practical assessment (PA),<br />
an examination (EA) and a re-examination (RA).<br />
Examination (Compulsory): One examination (EA). The contribution <strong>of</strong> the<br />
examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA) +<br />
40%(EA). To qualify for course credit students must obtain an overall assessment<br />
<strong>of</strong> 50%.<br />
Re-examination (Not compulsory): To qualify for re-examination students<br />
must obtain an overall assessment <strong>of</strong> between 40 and 49%.<br />
Descriptive Statistics, Probability & Distribution Theory<br />
Module Code Module Name NQF Level Credits Semester<br />
APM1101 Descriptive Statistics, Probability<br />
& Distribution Theory<br />
Lectures per week Pracs per week Tutorials<br />
per week<br />
5 16 1<br />
4 x 50 min 1 x 100 min 13<br />
Number<br />
<strong>of</strong> weeks<br />
Notional<br />
hours<br />
Content / Syllabus Data analysis and Descriptive Statistics<br />
Different kinds <strong>of</strong> variables and measurement scales. Construction and Graphical<br />
presentation <strong>of</strong> frequency distributions. Cumulative frequency; the ogive and<br />
percentiles. Measures <strong>of</strong> central tendency; the Mean, Median and Mode.<br />
Measures <strong>of</strong> Spread; Mean Deviation, the Standard Deviation and the Quartile<br />
Deviation.<br />
Probability Distributions<br />
Introduction to the concept <strong>of</strong> probability. Counting techniques, Baye’s theorem.<br />
Discrete probability distributions, including the Bernoulli, the Binomial, Poisson,<br />
Hyper-geometric, and Negative Binomial. Continuous Probability distributions<br />
including the Uniform, the Gamma, the Beta and the Chi-Square distributions,<br />
the Normal distribution.<br />
Assessment Year mark (DP) will be obtained assessments based on assignments and tests.<br />
Final mark will be obtained from the Year Mark (DP) x 40% + Exam Mark x<br />
60%.<br />
SCHOOL OF COMPUTING