FIT4009 - Advanced topics in intelligent systems
6 points, SCA Band 2, 0.125 EFTSL
Undergraduate, Postgraduate Faculty of Information Technology
Leader(s): Jan Meyer
Offered
South Africa First semester 2009 (Day)
Synopsis
Methods from Artificial Intelligence (AI) form the basis for many advanced information systems. These techniques address problems that are difficult to solve or not efficiently solvable with conventional techniques. Building on the undergraduate curriculum this unit introduces the student to advanced AI methods and their applications in information systems.
Objectives
At the completion of this unit students will have:
- achieved an overview of different technologies that form the basis of intelligent information systems;
- understood the capabilities of these methods;
- learned to recognise tasks that can be solved with these methods;
- the ability to judge the limitations of these methods.
At the completion of this unit students will have developed attitudes that enable them to:
- apply the standard techniques in the chosen sub-fields of intelligent information systems to the construction and design of such systems;
- critically evaluate the performance of these approaches;
- compare these techniques to alternative approaches;
- appreciate the practical relevance of intelligent information systems.
Assessment
Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report. This variability is designed to give flexibility to the lecturer to decided the most appropriate form of examination for a given choice of topics.
Contact hours
Lectures and laboratory classes: 3hrs/week
Prerequisites
Completion of the Bachelor of Computer Science or equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator.