School of Computing prospectus 2012 - Walter Sisulu University

Advanced Programming
Module Code Module Name NQF Level Credits Semester
CSH4101 Advanced Programming 8 15 1
Lectures per
week
Pracs per week Tutorials
per week
45
Number of
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.
Practicals: Consist of 5 labs based on what is covered during lectures.
Entry Rules Applicant must have relevant programming experience at undergraduate level
Assessment
and
progression
rules
Database Systems
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).
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%.
Module Code Module Name NQF Level Credits Semester
CSH4202 Database Systems 8 15 1
Lectures per week Pracs per week Tutorials
per week
Number of
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
Practicals: Consist of 5 labs based on what is covered during lectures.
Entry Rules Applicant must have done an undergraduate Database Management Course
2012
PROSPECTUS