No offerings have been identified for this subject in 2015
ITC366 Expert Systems (8)
Abstract| An overview is given of expert systems and their structure. Techniques of knowledge representation, knowledge acquisition and logical inference are applied to typical systems using specialised expert system languages such as PROLOG, LISP and an expert system shell. |
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+ Subject Availability Modes and Location
Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC366
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Computing and Mathematics |
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Learning OutcomesUpon successful completion of this subject, students should:
- understand how expert systems differ from other information systems and where they can be applied in problem resolution;
- understand the theoretical background to logical inference and knowledge representation;
- be able to use an expert system shell to develop a meaningful expert system application;
- be able to develop a simple expert system in a specialised expert system language;
- be aware of current market trends in expert system languages and packages. |
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SyllabusThe subject will cover the following topics:
- The history of expert systems
- The structure of an expert system.
- The expert system development life cycle.
- Domain selection.
- Knowledge acquisition and machine learning.
- Neural networks.
- Formal logic theory including the Algebras of Classes/Sets, Boolean, Propositional and First Order Predicate Logic.
- Techniques available for knowledge representation.
- Techniqes of formal inference, including forward and backward chaining.
- Programming with typical expert system oriented languages, eg PROLOG and LISP.
- Programming in a typical expert system shell.
- Current market survey of expert system tools. |
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The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.
