CSC 242: Artificial Intelligence

Spring 2009 Information

Philosophical, psychological, psychophysical issues. History of trends in AI and current state. Case studies from problem solving, expert systems, robotics, natural language understanding, computer vision, neural nets, and learning. LISP, C++, and possibly MATLAB programming. Laboratory exercises involve state-of-the-art hardware and software systems. This course is prerequisite for advanced AI courses.

Prerequisites: MTH 150 and CSC 172. (Spring; cross-listed as BCS 232.)


Last changed 1/5/2009 by Marty Guenther (marty@cs.rochester.edu)