Abstract

An introductory artificial intelligence course may be taught with emphasis on theory and formalism ("science"), or with emphasis on designing and building artifacts that display intelligence ("engineering"). Along another dimension, it makes pedagogical sense to organize the course around a central theme, but the course may instead be taught as a smorgasbord of approaches and problems. This paper briefly considers the four possible combinations of approaches.

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