Fall 2005 Course Descriptions
COMP 131 Artificial Intelligence
History, theory, and computational methods of artificial intelligence. Basic concepts include representation of knowledge and computational methods for reasoning. One or two application areas will be studied, to be selected from expert systems, robotics, computer vision, natural language understanding, and planning. Students will implement the computational methods in the Lisp language. Prerequisites: Comp 15 and either MATH 22 or familiarity with both symbolic logic and basic probability theory.
Prerequisite: Comp 15 and either MATH 22 or familiarity with both symbolic logic and basic probability theory.
COMP 131 Artificial Intelligence
History, theory, and computational methods of artificial intelligence. Basic concepts include representation of knowledge and computational methods for reasoning. One or two application areas will be studied, to be selected from expert systems, robotics, computer vision, natural language understanding, and planning. Students will implement the computational methods in the Lisp language. Prerequisites: Comp 15 and either MATH 22 or familiarity with both symbolic logic and basic probability theory.
Prerequisite: Comp 15 and either MATH 22 or familiarity with both symbolic logic and basic probability theory.