School of Computing prospectus 2012 - Walter Sisulu University

Assessment
and progression
rules
Java Programming
Admission criteria
Continuous Assessment (CA) (Compulsory): Two Assignments(30%),
Two Tests (40%), 12 tutorial assessments(10%) and 12 Practical
assessments(20%)
Examination (Compulsory): One examination (EA). The contribution of
the examination (EA) to the overall assessment (OA) is 40%. OA = 60%(CA)
+ 40%(EA).
Re-examination (Not compulsory): To qualify for re-examination
students must obtain an overall assessment of between 40 and 49%.
Module Code Module Name NQF Level Credits Semester
CSI 2101 JAVA PROGRAMMING 6 14 1
Lectures per week Practicals per week Tutorials
per week
33
Number
of weeks
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.
Entry Rules Pre-requisites: CSI1101, CSI1102, CSI1201and CSI1202, MAT1101, CSI1102,
CSI1203 and MAT1201 or APM1101, APM1201
Assessment
and progression
rules
Linear Algebra I
Continuous Assessment (CA) (Compulsory): The contribution of CA to
the overall assessment (OA) is 60%.
Examination (Compulsory): One examination (EA). The contribution of
the examination (EA) to the overall assessment (OA) is 40%.
Re-examination (Not compulsory):
Module Code Module Name NQF Level Credits Semester
MAT2202 Linear Algebra I 6 8 2
Lectures per week Pracs per week Tutorials
per week
Number
of
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.
2012
PROSPECTUS