SEEM 5750 Expert Systems and Decision Support

Course Objectives

This course aims at providing an introduction to expert systems. It discusses basic topics of knowledge representation, logic, reasoning under uncertainty. The techniques for building expert systems are discussed. An expert system language called CLIPS is introduced.

Time and Place

Thursday 7:00pm – 10:00pm

William M. W. Mong Engineering Building Room 405 (ERB405)

Instructor

Prof. Wong, Man Leung (manleungwong00@gmail.com)

Tutor

Miss Xiong Jiani, Garnet (jnxiong@se.cuhk.edu.hk) Office: ERB711.

Announcements

· The arrangement of the classes:
September 9 is a lecture class. Please go to the classroom ERB405.
September 16 is a lecture class. Please go to the classroom ERB405.
September 23 is a public holiday.
September 30 is a lecture class. Please go to the classroom ERB405.
October 7: The tutorial will be held in the room ERB602, ES Lab of ERB.
October 14: The tutorial will be held in the room ERB602, ES Lab of ERB.
October 21 is a lecture class. Please go to the classroom ERB405.
October 28 is a lecture class. Please go to the classroom ERB405.
November 4 is a lecture class. Please go to the classroom ERB405.
November 11: The tutorial will be held in the room ERB602, ES Lab of ERB.
November 18 is a lecture class. Please go to the classroom ERB405.
November 25 is a lecture class. Please go to the classroom ERB405.
December 2 is a lecture class. Please go to the classroom ERB405.

Final Examination

Date: 9 December, 2010
Time: 7:30 pm – 9:30 pm
Venue: ERB405

It is an open-book examination.
The following topics are covered in the final examination:

1. Introduction to Expert Systems

2. Knowledge Representation and Production Rule Systems

3. Inference in Rule-based Systems

4. Probabilistic Reasoning and Bayesian Decision Analysis

5. Certainty Factor Model

6. Propositional Logic and Methods of Inference

7. Introduction to CLIPS programming

8. Advanced Pattern Matching

9. Modular Design and Execution Control

Text Book

J.C. Giarratano and G.D. Riley, Expert Systems: Principles and Programming, 4^th ed., Thomson Course Technology, 2005.

Assessment

Continuous assessment	50%
Final Exam	50%
Total	100%

Students are assessed throughout the term on their attendance, class participation, exercises, etc.

Course outline

Topics	Lecture Notes
Introduction to Expert Systems	PDF
Knowledge Representation and Production Rule Systems	PDF
Inference in Rule-based Systems	PDF
Probabilistic Reasoning and Bayesian Decision Analysis	PDF
Certainty Factor Model	PDF
Propositional Logic and Methods of Inference	PDF
Knowledge Representation: Semantic Nets and Frames	PDF

CLIPS Programming

Topics	Notes
Introduction to CLIPS	PDF
Advanced Pattern Matching	PDF
Modular Design and Execution Control	PDF

Software

CLIPS 6.241 for Windows

Assignments