Postgraduate Modules
Modules offered across Honours, Masters, and PhD programmes in Computer Science.
Year Modules
Honours Project in Computer Science
Assigned supervisor
A large software construction or research problem on which the student works independently, under the supervision of a staff member.
First Semester
Advanced Algorithms
Willem Bester
This module continues from Computer Science 214 and covers advanced topics in the design and analysis of algorithms and associated data structures. To…
Adv. Topics I — Vulnerability Discovery and Exploitation
Fabian Yamaguchi
This module provides an introduction to the discovery and exploitation of vulnerabilities in software systems. We learn to uncover vulnerabilities and…
Adv. Topics II — Ontology Engineering
Maria Keet
An overview of ontology engineering — including knowledge representation languages, automated reasoning, and methods and techniques for ontology devel…
Computing and Society
William (Bill) Tucker
Theory, domains and critique of topics related to Computing and Society, such as human-centred computing; social development theories, critical analys…
Artificial Intelligence
Andries Engelbrecht
Introduction to a selection of topics in artificial intelligence and optimisation. Meta-heuristics. Swarm intelligence, including particle swarm optim…
Functional Programming
Brink van der Merwe
This module gives an introduction to the functional programming paradigm.
Machine Learning A
Steve Kroon
Prominent machine-learning concepts and tasks. Selected feature extraction or dimensionality reduction techniques. Introduction to probabilistic model…
Computer Networks
William (Bill) Tucker
Introduction to networks in general and the internet in particular. Architecture and protocols. Allocation of resources and congestion control. Networ…
Concurrent Programming I
Cornelia Inggs
This module covers an overview of the field of concurrency, its theoretical principles, the design, implementation and verification of concurrent syst…
Second Semester
Machine Learning
Andries Engelbrecht
This module is an introduction to selected topics in machine learning.
Software Construction — Compilers
Bernd Fischer
An introduction to compiler design and construction, covering lexical analysis, parsing, semantic analysis, and code generation.
Principles of Data Science
Marcel Dunaiski
This course covers the typical pipeline of data science projects: information retrieval, data wrangling and exploratory data analysis, hypothesis test…
Space Science Algorithms
Trienko Grobler
Algorithms and techniques in Space Science, with applications.
ML and AI I — Cognitive Robotics
Gavin Rens
Topics covered are logic and knowledge representation, the Prolog language, deterministic automated planning, dynamic Bayesian networks and dynamic de…
Software Testing and Analysis
Cornelia Inggs, Bernd Fischer, Willem Visser
Introduction to various techniques for software quality management.
Automata Theory & Applications
Brink van der Merwe
A first introduction to theoretical computer science, covering the Chomsky hierarchy of languages in relation to computability.