Computer Science 232 - Artificial Intelligence

From the 1989-90 Bulletin:
In-depth study of areas selected from among knowledge representation, problem solving, expert systems, planning, natural language, speech, robotics, computer vision, program synthesis, program verification, theorem proving, and others. Focus ranges from basic approaches to recent developments. Familiarity with basic concepts and techniques of artificial intelligence required. Prerequisite: Computer Science 131.
This course was taught by Jim Schmolze.