CSC660 Artificial Intelligence: Principles and Techniques

[3–0, 3 cr.]

The course covers computational approaches for modeling uncertainty and solving decision problems. Topics include search techniques, constraint satisfaction problems, game playing (including alpha-beta pruning), propositional logic, predicate logic, knowledge representation, planning, probabilistic reasoning, Bayesian networks and case-based reasoning. It also covers advanced topics in Artificial Intelligence such as natural language processing and robotics.