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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, Sum | Units: 3-4

Instructors: Charikar, M. (PI) ; Jia, R. (PI) ; Liang, P. (PI) ... more instructors for CS 221 »

Instructors: Charikar, M. (PI) ; Jia, R. (PI) ; Liang, P. (PI) ; Sadigh, D. (PI) ; Amidi, S. (TA) ; Baby, S. (TA) ; Bakst, W. (TA) ; Balachandar, N. (TA) ; Barbier, N. (TA) ; Chen, J. (TA) ; Dhoot, A. (TA) ; Diamond, S. (TA) ; Diehl Martinez, R. (TA) ; Dong, S. (TA) ; Effron, A. (TA) ; Fu, A. (TA) ; Golub, D. (TA) ; Gupta, A. (TA) ; Han, A. (TA) ; Hoffman, J. (TA) ; Hsu, V. (TA) ; Kabaghe, C. (TA) ; Kamath, A. (TA) ; Laloudakis, Y. (TA) ; Lee, J. (TA) ; Li, Y. (TA) ; Liu, K. (TA) ; Mani, N. (TA) ; Patel, V. (TA) ; Petit, B. (TA) ; Qin, Z. (TA) ; Saleh, M. (TA) ; Selsam, D. (TA) ; Seshadri, S. (TA) ; Shah, C. (TA) ; Sohmshetty, A. (TA) ; Sriram, P. (TA) ; Srivastava, M. (TA) ; Wang, H. (TA) ; Wang, Z. (TA) ; Wu, Y. (TA) ; Zhou, B. (TA) ; Zhu, A. (TA)

2018-2019 Autumn

CS 221 | 3-4 units | UG Reqs: None | Class # 18242 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2018-2019 Autumn 1 | In Person | Students enrolled: 564 / 1100
09/24/2018 - 12/07/2018 Mon, Wed 1:30 PM - 2:50 PM at NVIDIA Auditorium with Liang, P. (PI); Bakst, W. (TA); Dhoot, A. (TA); Diamond, S. (TA); Diehl Martinez, R. (TA); Dong, S. (TA); Effron, A. (TA); Fu, A. (TA); Golub, D. (TA); Gupta, A. (TA); Han, A. (TA); Hoffman, J. (TA); Hsu, V. (TA); Kabaghe, C. (TA); Kamath, A. (TA); Laloudakis, Y. (TA); Lee, J. (TA); Li, Y. (TA); Patel, V. (TA); Petit, B. (TA); Selsam, D. (TA); Seshadri, S. (TA); Shah, C. (TA); Sohmshetty, A. (TA); Srivastava, M. (TA); Wang, H. (TA); Wang, Z. (TA); Wu, Y. (TA); Zhou, B. (TA)
Exam Date/Time: 2018-12-12 3:30pm - 6:30pm (Exam Schedule)
Instructors: Liang, P. (PI); Bakst, W. (TA); Dhoot, A. (TA); Diamond, S. (TA); Diehl Martinez, R. (TA); Dong, S. (TA); Effron, A. (TA); Fu, A. (TA); Golub, D. (TA); Gupta, A. (TA); Han, A. (TA); Hoffman, J. (TA); Hsu, V. (TA); Kabaghe, C. (TA); Kamath, A. (TA); Laloudakis, Y. (TA); Lee, J. (TA); Li, Y. (TA); Patel, V. (TA); Petit, B. (TA); Selsam, D. (TA); Seshadri, S. (TA); Shah, C. (TA); Sohmshetty, A. (TA); Srivastava, M. (TA); Wang, H. (TA); Wang, Z. (TA); Wu, Y. (TA); Zhou, B. (TA)
Notes: May be taken for 3 units by graduate students.
CS 221 | UG Reqs: None | Class # 19329 | Section 02 | Grading: Letter or Credit/No Credit | DIS | Session: 2018-2019 Autumn 1 | In Person
09/24/2018 - 12/07/2018 Fri 1:30 PM - 2:20 PM at NVIDIA Auditorium

2018-2019 Spring

CS 221 | 3-4 units | UG Reqs: None | Class # 20639 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2018-2019 Spring 1 | In Person | Students enrolled: 353 / 700
04/01/2019 - 06/05/2019 Tue, Thu 10:30 AM - 11:50 AM at NVIDIA Auditorium with Charikar, M. (PI); Sadigh, D. (PI); Amidi, S. (TA); Baby, S. (TA); Bakst, W. (TA); Chen, J. (TA); Diehl Martinez, R. (TA); Effron, A. (TA); Kabaghe, C. (TA); Laloudakis, Y. (TA); Lee, J. (TA); Liu, K. (TA); Mani, N. (TA); Petit, B. (TA); Saleh, M. (TA); Seshadri, S. (TA); Sriram, P. (TA); Wang, H. (TA); Zhu, A. (TA)
Instructors: Charikar, M. (PI); Sadigh, D. (PI); Amidi, S. (TA); Baby, S. (TA); Bakst, W. (TA); Chen, J. (TA); Diehl Martinez, R. (TA); Effron, A. (TA); Kabaghe, C. (TA); Laloudakis, Y. (TA); Lee, J. (TA); Liu, K. (TA); Mani, N. (TA); Petit, B. (TA); Saleh, M. (TA); Seshadri, S. (TA); Sriram, P. (TA); Wang, H. (TA); Zhu, A. (TA)
Notes: May be taken for 3 units by graduate students.
CS 221 | UG Reqs: None | Class # 20797 | Section 02 | Grading: Letter or Credit/No Credit | DIS | Session: 2018-2019 Spring 1 | In Person
04/01/2019 - 06/05/2019 Fri 3:30 PM - 4:20 PM at NVIDIA Auditorium

2018-2019 Summer

CS 221 | 3-4 units | UG Reqs: None | Class # 23328 | Section 01 | Grading: Letter or Credit/No Credit | LEC | Session: 2018-2019 Summer 1 | In Person | Students enrolled: 50
06/24/2019 - 08/15/2019 Tue, Thu 3:30 PM - 5:20 PM at Bishop Auditorium with Jia, R. (PI); Balachandar, N. (TA); Barbier, N. (TA); Diehl Martinez, R. (TA); Han, A. (TA); Kamath, A. (TA); Qin, Z. (TA); Zhu, A. (TA)
Instructors: Jia, R. (PI); Balachandar, N. (TA); Barbier, N. (TA); Diehl Martinez, R. (TA); Han, A. (TA); Kamath, A. (TA); Qin, Z. (TA); Zhu, A. (TA)
Notes: Summer quarter enrollment is limited. Priority given to Stanford students. Stanford graduate students may enroll for 3 units; all other students enroll for 4 units.
CS 221 | UG Reqs: None | Class # 23672 | Section 02 | Grading: Letter or Credit/No Credit | DIS | Session: 2018-2019 Summer 1 | In Person
06/24/2019 - 08/15/2019 Fri 3:30 PM - 4:20 PM at Skillaud

CS 224U: Natural Language Understanding (LINGUIST 188, LINGUIST 288)

Project-oriented class focused on developing systems and algorithms for robust machine understanding of human language. Draws on theoretical concepts from linguistics, natural language processing, and machine learning. Topics include lexical semantics, distributed representations of meaning, relation extraction, semantic parsing, sentiment analysis, and dialogue agents, with special lectures on developing projects, presenting research results, and making connections with industry. Prerequisites: one of LINGUIST 180, CS 124, CS 224N, CS224S, or CS221; and logical/semantics such as LINGUIST 130A or B, CS 157, or PHIL150

Terms: Spr | Units: 3-4

Instructors: MacCartney, B. (PI) ; Potts, C. (PI) ; Bhaskaran, J. (TA) ... more instructors for CS 224U »

Instructors: MacCartney, B. (PI) ; Potts, C. (PI) ; Bhaskaran, J. (TA) ; Farhangi, A. (TA) ; Geiger, A. (TA) ; Kim, M. (TA) ; Li, L. (TA) ; Wang, C. (TA) ; Yerukola, A. (TA) ; Zhou, X. (TA)

CS 332: Advanced Survey of Reinforcement Learning

This class will provide a core overview of essential topics and new research frontiers in reinforcement learning. Planned topics include: model free and model based reinforcement learning, policy search, Monte Carlo Tree Search planning methods, off policy evaluation, exploration, imitation learning, temporal abstraction/hierarchical approaches, safety and risk sensitivity, human-in-the-loop RL, inverse reinforcement learning, learning to communicate, and insights from human learning. Students are expected to create an original research paper on a related topic. Prerequisites: CS221 or AA238/CS238 or CS234 or CS229 or similar experience.

Terms: Aut | Units: 3

Instructors: Brunskill, E. (PI) ; Zanette, A. (TA)