Provides a broad survey of the field of artificial intelligence. It serves as the foundation for other advanced courses in the areas of natural language processing, machine learning, and neural networks. Topics: Search, problem solving, knowledge representation, uncertain reasoning, machine learning, introductory game theory, and speech and language processing.

Intelligent Agents Search Knowledge Representation Planning Probabilistic Reasoning Machine Learning Speech and Language Processing

Students taking this course should come away with a broad understanding of the methods employed in current artificial intelligence systems. In addition, students will have the background needed for advanced courses in the area.

Must be proficient in C, C++, JAVA, or LISP, or other high-level language.

Russell and Norvig, Artificial Intelligence: A Modern Approach, 2nd ed., Prentice Hall, 2002, ISBN 0137903952.

Web and e-mail access required, a programming environment for one of the above languages, and the ability to install new programming environments as needed.