CS221 - Artificial Intelligence: Principles and Techniques
700名以上の登録があるコンピュータサイエンス専攻の人気講義。機械学習にフォーカスしている。おそらくこの大学では最大規模だろう（大学の全学部生は7,000名程度と存外少なく、加えて大学院生）。
講義室は、300席程度（今日は満席だった）で、後は、Zoomのリアルタイム中継と録画（講義終了後２時間でアップされる）を活用する、オフライン・オンラインを取り混ぜたフランクな提供形態でユニークだ。
OverviewのVideo Clip
--公開シラバスより--
CS 221: Artificial Intelligence: Principles and Techniques
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).
Terms: Aut, Spr | Units: 3-4 | Grading: Letter or Credit/No Credit
