Abstract
Several challenges confront the organizer of an introductory course in artificial intelligence (AI). First, one has to decide what subject matter to include. The union of everything in all of the popular AI textbooks is much too large, and the intersection undoubtedly won't include enough of what the organizer thinks important. The second challenge is how to blend the selected topics into a coherent whole. The third involves matters such as problem sets, programming exercises, laboratory work, case studies, and collateral readings. Finally, one must decide on the main purpose of the course: is it to teach AI techniques and skills, or is it to study AI's intellectual content, perhaps presenting related topics in psychology and philosophy? In this note we concentrate on the first and second of these topics---how to present a coherent view of the core subject matter of AI.
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