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CS 188: Introduction to Artificial Intelligence, Spring 2022

Lectures: Tu/Th 2:003:30 pm, Wheeler 150

This course will introduce the basic ideas and techniques underlying the design of intelligent computersystems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.

By the end of this course, you will have built autonomous agents that efficiently make decisions in fullyinformed, partially observable and adversarial settings. Your agents will draw inferences in uncertainenvironments and optimize actions for arbitrary reward structures. Your machine learning algorithms willclassify handwritten digits and photographs. The techniques you learn in this course apply to a wide varietyof artificial intelligence problems and will serve as the foundation for further study in any applicationarea you choose to pursue.

See the syllabus for slides, deadlines, and the lecture schedule. Readings refer tofourth edition of AIMAunless otherwise specified.

All lecture recordings are posted to Kaltura. This link will work only if you are signed into your UC Berkeley bCourses (Canvas) account.

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CS 188: Introduction to Artificial Intelligence, Spring 2022