The aim of this course is to provide the student with an introduction to the main concepts and techniques playing a key role in artificial intelligence. In addition to covering the primary components of AI, particular attention will be devoted to its applications in several fields. Among the topics covered are: intelligent artificial agents,problem solving using search and constraint satisfaction, uncertainty, Bayesian networks and probabilistic inference, supervised learning, planning, sequential decision problems, as well as several additional topics. Satisfies the artificial intelligence/machine learning breadth area requirement.