Catalog description:

Expert Systems architecture, Knowledge representation, and inference techniques. Provides a combination of both theory and practice in expert systems.

 
Prerequisite:

CSA274 / CSA606 or equivalent.

 
Course Objectives:

The objective of the course is to learn the fundamentals Expert Systems and its application and its implementation, including:

• Background information about Artificial Intelligence in respect to Expert Systems
• History of the research area.
• Ability to identify and understand the problem space, to determine appropriateness of Expert Systems to a given problem, and to implement an Expert Systems solution using an expert systems shell.
• Use of CLIPS expert systems shell software.
• Semester long class project implementing an expert system using the knowledge gained in the course.
• Expert Systems role in our society and its effect on our daily lives.