Artificial Intelligence: Principles and Techniques

Course Description

Artificial intelligence (AI) has had a huge impact in many areas, including medical diagnosis, speech recognition, robotics, web search, advertising, and scheduling. This course focuses on the foundational concepts that drive these applications. In short, AI is the mathematics of making good decisions given incomplete information (hence the need for probability) and limited computation (hence the need for algorithms). Specific topics include search, constraint satisfaction, game playing, Markov decision processes, graphical models, machine learning, and logic. Prerequisites: CS 103 or CS 103B/X, CS 106B or CS 106X, CS 107, and CS 109 (algorithms, probability, and programming experience).

Course Details

Limited Enrollment Details: CS 221 is not open to High School Summer College or Horizon Scholar students. For a list of available Computer Science courses, please select "High School" or "Horizon Scholar" in the Student Population section of the Course page.

Prerequisites

CS 103 or CS 103B/X, CS 106B or CS 106X, CS 107, and CS 109 (algorithms, probability, and programming experience).

Syllabus Link

None available.
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