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Instructor: Dr. Chris Nikolopoulos
Office: BR 197
Tel.: 677-2456
Office hours: W 2:30-3:20, T-Th. 11:45-12:30 and by appointment.
E-mail: chris@bradley.edu
URL: http://bradley.bradley.edu/~chris/ Text: Chris Nikolopoulos, "Expert Systems: First and Second Generation and Hybrid Knowledge Based Systems", Marcel Dekker, 1997.
Grading: 90 - 100 A
80 - 90 B
etc.
Evaluation of performance based on: Midterm 100 points On Thursday, March 12
Final 100 points On Tuesday, May 12
Project 100 points
Homework 100 points
Topics to be covered include: foundations of expert systems, Knowledge Acquisition, Knowledge Representation, uncertainty, verification and validation, neural nets and machine learning. The expert system shell EXSYS will be used as an implementation and project development tool. A brief introduction to Prolog will also be given, primarily in order to help present implementation techniques for some of the concepts on knowledge representation and uncertainty. Introduction to Fuzzy Logic and fuzzy controlers and use of appropriate software for building fuzzy systems. Various machine learning techniques whose goal is to automate the knowledge acquisition process will also be presented. Finally, an introduction to neural networks and Hybrid Expert Systems will be presented and aplicable software will be used for data mining using NNs.
By the fourth or fifth week of the term you will be given a project. You can also choose a project of your own, but in that case you will have to present it to me for approval by the fifth week of the term.
The project code, hard copies etc., are due on the day of the final.
Oral presentations on the projects should be delivered on the last day of class for the benefit of your classmates.