Note: The following provides a suggested course description,
objectives, and an outline. These may be modified pending discussion with
the Faculty Chairs, proposing faculty, and other curriculum
reviewers.
Course Description: This course covers the basic
concepts involved in artificial intelligence including a discussion of
what is intelligence, the Turing Test, the programming language of Lisp,
problem definition, problem solving steps, proper attitudes for problem
solving, blind search methods, heuristic search methods, logic, semantic
networks, production systems, frames, and scripts. Discussions of
applications for these basic concepts are presented. These discussions
will include applications to natural knowledge processing, computer
vision, modeling and representing knowledge, expert systems, and
intelligent machines.
