27.11.2012 Views

School of Computing prospectus 2012 - Walter Sisulu University

School of Computing prospectus 2012 - Walter Sisulu University

School of Computing prospectus 2012 - Walter Sisulu University

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

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

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!