Non-Traditional Projects in the Undergraduate AI Course

摘要

Projects in the Artificial Intelligence course have evolved over the years. Along the way, they have taken several forms, including small-scale LISP/Prolog projects, larger-scale object-oriented projects in CLOS/C++, projects organized around games, and more recently, projects organized around the concept of agents. All along, educators have attempted to make the projects more appealing and instructive at the same time. In this panel, we will examine three disparate approaches for making AI projects more instructive and engaging: 1. The first approach organizes all the projects around a central theme, in this case, machine learning; 2. The second approach uses inexpensive robots as the platform for traditional projects; 3. The third approach moves to a software platform that enables working with advanced or simulated robots as well. All three approaches have been evaluated, and make supplementary materials available for use by interested faculty.