On Teaching AI and expert systems courses

This paper outlines the experiences of faculty members from departments of engineering, mathematics, and computer science throughout the United States and Puerto Rico who came together for three weeks to discuss effective ways to teach artificial intelligence to undergraduates. It describes the rationale for the development of three main topic areas: artificial intelligence, expert systems, and symbolic and logic programming, and it includes syllabi for these topics. Also included in this paper is a discussion of the results obtained after a year of using the materials and techniques gathered during the original meeting.