AI Subjects

AI subjects taught around FCIT are described here. Initially we include handbook entries only; however, we will extend the descriptions by including subject syllabi and/or reading lists as they become available.


Department of Computer Science

 CSC2030 Foundations of Computing: 

 This subject introduces the theory of computation and predicate
 logic, which are fundamental to understanding knowledge
 representation in AI and the limits of AI.  It is a prerequisite
 to the other CS subjects listed below.

 CSC3050 Advanced Theory of Computation:

 This subject looks at the theory of computational complexity and
 NP-completeness; understanding these issues has wide
 applicability in computer science, including the assessment of AI
 algorithms.

 CSC3091 Artificial Intelligence: 

 A survey of the main issues and techniques of AI, including
 knowledge representation, planning, problem solving and an
 introduction to programming in Lisp.

 CSC3200 Machine Learning: 

 A survey of the main contending approaches to machine learning,
 from traditional symbolic learning through decision trees and
 genetic algorithms to anti-symbolic connectionist learning.

Gippsland School of Computing and Information Technology

 GCO3815 Artificial Intelligence:

 This subject introduces students to logic programming using
 Prolog, and describes the major theoretical concepts underlying
 AI applications in general and expert systems in particular.
 Specific topics include blind, heuristic, and adversarial search
 techniques, knowledge representation, and the development of
 rule- based systems.  Students are also introduced to genetic
 algorithms, and to the fundamental ideas underlying connectionist
 architectures.

Department of Software Development

 SFT2207 Programming Language Paradigms:

 This subject covers logic programming and functional programming,
 the two major programming paradigms in AI.  Examples and problems
 mentioned in these two paradigms are all relevant to the
 subsequent AI related subjects in the SFT Department.

 SFT3010 Knowledge-based Software:

 This subject is the central AI subject in the SFT Department for
 undergraduate students. It gives a wide exposition of the goals
 and fundamental techniques of expert systems and introduces the
 application of expert system techniques to software development.

 SFT4070 Logic Programming:

 This subject introduces logic, logic programming, and Prolog, and
 looks at their applications in selected areas including knowledge
 representation, rule-based systems, deductive databases, and
 large scale software development.

 SFT4830 Foundations of Artificial Intelligence:

 This subject gives a broad exposition of the goals and
 fundamental techniques of AI, and a basic flavour of AI research
 methodology.  Topics include reasoning under uncertainty, expert
 systems shells and machine learning.