EXPERT SYSTEMS (2/1 credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Explain concepts of Expert Systems; Describe the characteristics of Expert Systems; Solve problems by using Expert Systems; Demonstrate the algorithm using Expert Systems tools.

Topics:

1. Introduction to Expert Systems 1;
2. Introduction to Expert Systems 2;
3. The Representation of Knowledge 1;
4. The Representation of Knowledge 2;
5. Methods of Inference 1;
6. Methods of Inference 2;
7. Reasoning under Uncertainty 1;
8. Reasoning under Uncertainty 2;
9. Inexact Reasoning 1;
10. Inexact Reasoning 2;
11. Design of Expert Systems;
12. Introduction to CLIPS 1;
13. Introduction to CLIPS 2.