1. Title of subject
Multimedia Expert Systems
2.Subject code
TME3071
3.Status of subject
Major Subject
4.Credit hour
3
28 Hours of Lecture
14 Hours of Tutorial
LAN’s Credit Hour Equivalence: 2.67
5.Semester
Trimester 3 (Delta Level)
6.Pre-Requisite
Discrete Structure (TDS1191)/
Logic Programming (TCP1211)
7. Methods of teaching
28 Hours of Lecture
14 Hours of Tutorial
8.Assessment
40% Coursework
60% Final Exam
Total 100%
9.Teaching staff (Proposed)
Amy Lim Hui Lan
10.Objective of subject
This course is designed to equip students to design expert systems
in the area of multimedia systems.
11.Synopsis of subject
The major areas of study includes: knowledge representation in
expert systems, inference techniques, intelligent multimedia
systems, development stages of expert systems and current
application of expert systems
Kursus ini merangkumi data dalam sistem pakar, sistem
multimedia, fasa-fasa pembinaan sistem pakar dan aplikasi terkini
dalam sistem pakar.
By the end of the subject, students should be able to
 identify various types of knowledge representations and
inference techniques that can be applied to build an expert
systems.
 identify the importance of multimedia enhancement in
typical expert systems.
 Illustrate clearly stages in developing an expert systems
appropriate to particular real problem.
 Apply and make use of technique leaned in an assigned
application.
12. Learning Outcomes
12. Details of Subject
Topics Covered
Hours
Introduction
Introduction to Expert Systems, Past, Current
and Future Expert Systems, The Art and Science
of Decision Making, Components of Knowledge
in Expert Systems, Types of Knowledge,
Knowledge Representation Techniques, Rules,
Blackboards .
Knowledge Representation
Knowledge Representation Techniques (ObjectAttribute-Value Triplets, Rules, Semantic
Networks, Frames, Logic)
Inference techniques
(Reasoning, Inference,Forward-Chaining,
Backward-Chaining, Advantages and
Disadvantages of Chaining Techniques,
Choosing Between Forward- and BackwardChaining Techniques, Combining Forward- and
Backward-Chaining Techniques, Basic Search
Techniques, Monotonic Inference, Nonmonotonic inference)
Multimedia Environment
Problems Facing Multimedia Systems, Anatomy
of an Intelligent Multimedia Systems, Intelligent
Multimedia System Design
Developing Expert Systems
Overview of Expert Systems Development,
Front End Analysis and Task Analysis,
Prototype Development, System Development,
Field Testing, Implementation and Maintenance,
Tools for Creating Multimedia Application for
Expert Systems, Enhancements and Validation
Developing Expert Systems
Rule-based Production Systems, Rule-based
Systems, Rule-based System Architecture,
Advantages and Disadvantages of Rule-based
Systems, Designing Forward- and BackwardChaining Rule-Based Systems Frame-based
Expert Systems
2
4
6
2
8
2
Developing Expert Systems
Induction Systems, Fuzzy logic, Hybrid Expert
Systems
2
Current Expert Systems
Over View of Current Expert Systems,
Commercial Application [Oil and Geology
Application], Transportation Application,
Agriculture, Science and Medicine
1. Expert systems’ architecture
2. Knowledge representation
3. Inference techniques
4. Stages of Expert Systems Development
5. Application of expert systems
Total Contact Hours
2
28
13. Text
Compulsory
1. Decision Support Systems and Intelligent
Systems. Author: Efraim Turban Jay E.
Aronson Ting-Peng
Liang
Publisher: Paramus, NJ, U.S.A.: Prentice
Hall PTR,2004
References
1. Harmon, P., "Expert Systems: Tools and
Applications", John Wiley & Sons, Inc.,
1988.
2. Marshall, G., " Students' Guide to Expert
Systems", Heinemann Newnes, 1990.
3. Buford, J. F., "Multimedia Systems",
Addison-Wesley, 1994.
4. Durkin, J., " Expert Systems: Design and
Development", Prentice Hall Inc., 1994.
5. Kaplan, R. M., "Intelligent Multimedia
System: A Handbook for Creating
Applications", John Wiley & Sons, 1997
6. Giarratano, J. & Riley, G., " Expert
Systems: Principles and Programming"
(3rd edition), International Thomson
Publishing, 1998.
7. Jackson, P., " Introduction to Expert
Systems" (3rd edition), Addison-Wesley,
1999.