Abstract

The discussion will begin by describing the current state of the art in industry-ready AI and the increasing call for AI in the job market. Then we will shift the focus to consider the content of the AI curriculum and that of related disciplines; availability of textbooks and other forms of teaching materials, including case studies to increase the interpersonal orientation of the classroom experience and the use of immersive environments; the design of homework and exams; the choices of programming languages for programming projects; the relation to other computer science and engineering disciplines to AI; and the perspectives for designing an introductory AI course for majors outside Engineering/Computer Science, keeping in mind both undergraduate and the graduate levels of instruction throughout the discussion. We will conclude by asking what the best ways are to prepare our students for industry's needs, given …

Date

2010

Authors

Stephanie E August, Jim Blythe, Peter N Gabrovsky

Journal

Journal of Computing Sciences in Colleges

Volume

25

Issue

4

Pages

211-212

Publisher

Consortium for Computing Sciences in Colleges