Module Outline
Date retreived
22/07/2026 6:01 PM AWST
22/07/2026 6:01 PM AWST
Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.
Expert Systems
Expert Systems
Module
National Code
State Code
51566
51566
DTWD Status
Approved
Approved
State Implementation and Classification
Approved Date
Field of Education
080999 - Office Studies, N.e.c.
Nominal Hours
68
Description
To introduce the concepts involved in expert systems
technology.
To teach the techniques needed to design an expert system.
To provide an overview of the tools applicable to
the development of an expert system.
To give practical experience in the use of an expert
system shell.
technology.
To teach the techniques needed to design an expert system.
To provide an overview of the tools applicable to
the development of an expert system.
To give practical experience in the use of an expert
system shell.
No information
Evidence Guide
Examination 70% Internal
Assessment 30%
Students must pass the examination.
Where a pass is achieved in the examination, the
overall mark is the sum of the two components
weighted as shown above. Otherwise the overall mark
is determined by 100% weighting for the written
paper.
Examination
One two-hour written paper consisting of five questions relating to any of the
following topics:
- Knowledge-based system architecture and application.
- Knowledge representation methods.
- Rule-based systems structure, inferencing mechanisms.
- Rule-based systems control mechanisms, user interface and
performance considerations.
- Knowledge acquisition techniques.
- Methods of dealing with uncertainty (Bayes' and certainly
factor models).
- Propositional logic, predicate logic, clausal logic, fuzzy
logic.
- Expert system design and development.
Internal Assessment
- Development of a simple rule-based expert system using a
shell. This system to involve standard logic inferencing techniques only.
- Development of a simple rule-based system capable of
dealing with incrementally accumulated evidence.
Assessment 30%
Students must pass the examination.
Where a pass is achieved in the examination, the
overall mark is the sum of the two components
weighted as shown above. Otherwise the overall mark
is determined by 100% weighting for the written
paper.
Examination
One two-hour written paper consisting of five questions relating to any of the
following topics:
- Knowledge-based system architecture and application.
- Knowledge representation methods.
- Rule-based systems structure, inferencing mechanisms.
- Rule-based systems control mechanisms, user interface and
performance considerations.
- Knowledge acquisition techniques.
- Methods of dealing with uncertainty (Bayes' and certainly
factor models).
- Propositional logic, predicate logic, clausal logic, fuzzy
logic.
- Expert system design and development.
Internal Assessment
- Development of a simple rule-based expert system using a
shell. This system to involve standard logic inferencing techniques only.
- Development of a simple rule-based system capable of
dealing with incrementally accumulated evidence.
Elements and Performance Criteria
No information
No information
Associated Qual/Courses
| State Code | National Code | Title | Type |
|---|---|---|---|
| 9600 | Applied Science Computing | Accredited course |