The artificial intelligence course focuses on the issues and principles and techniques of artificial intelligence. Topics include knowledge representation, organization and manipulation of the world and how to reason logically with the knowledge, concepts of inconsistency, uncertainty, probabilistic reasoning, structured knowledge, logic programming, computational and statistical learning theory, machine learning including supervised, unsupervised and reinforcement learning, decision making including search oriented problem solving, planning, games, Markov and decision processes, planning and temporal reasoning, inference and theorem proving, reasoning under uncertainty, search and information retrieval, principles of intelligent agents, speech and natural language processing involving parsing, machine translation, and information extraction, speech recognition, computer vision, and robotics