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CS 188 Spring 2025
Instructors: John Canny, Oliver Grillmeyer
Lecture: TuTh, 12:30–2:00 PM, Dwinelle 155 and Zoom
Textbook: AIMD, 4th ed.
For questions, please see the FAQ page for Summer 2025 or Fall 2025.
Course Calendar
| Wk. | Date | Lecture (Playlist) | Readings | Discussion | HW | Project |
|---|---|---|---|---|---|---|
| 1 | Mon Jun 23 | 1. Intro (Oliver) VideoRecording | Ch. 1-2 Note 1.1 | No Discussion | HW0 [optional]
(due Wed, Jan 29) Part A | Project 0 [optional]
(due Fri Jan 24) |
| Tue Jun 24 | 2. Uninformed Search (Oliver) VideoRecording | Ch. 3.1-3.4 Note 1.2-1.3 | ||||
| Wed Jun 25 | 3. A* Search and Heuristics (Oliver) VideoRecording | Ch. 3.5-3.6 Note 1.4-1.5 | 1. Search | Project 1
(due Fri Feb 07) | ||
| Thu Jun 26 | 4. CSPs I (Oliver) VideoRecording | Ch. 6.1 Note 2.1-2.4 | ||||
| 2 | Mon Jun 30 | 5. CSPs II (Oliver) VideoRecording | Ch. 6.2-6.5 Note 2.4-2.6 | 2. CSPs | HW1
(due Wed, Feb 05) Part A Part B Solutions | |
| Tue Jul 01 | 6. Game Trees I (Oliver) VideoRecording | Ch. 5.2-5.5 Note 3.1-3.2 | ||||
| Wed Jul 02 | 7. Game Trees II (Oliver) VideoRecording | Ch. 5.2-5.5, 16.1-16.3 Note 3.3-3.6 | 3. Game Trees | HW2
(due Wed, Feb 12) Part A Part B Solutions | Project 2
(due Fri Feb 21) | |
| Thu Jul 03 | 8. MDPs I (John) VideoRecording | Ch. 17.1-17.2 Note 4.1-4.2 | ||||
| 3 | Mon Jul 07 | 9. MDPs II (John) VideoRecording | Ch. 17.1-17.2 Note 4.3-4.5 | 4. MDPs | HW3
(due Wed, Feb 19) Part A Part B Solutions | |
| Tue Jul 08 | 10. RL I (John) VideoRecording | Ch. 22 Note 5.1-5.3 | ||||
| Wed Jul 09 | 11. RL II (John) VideoRecording | Ch. 22 Note 5.4-5.5 | 5. RL | HW4
(due Wed, Feb 26) Part A Part B Solutions | Project 3
(due Fri Mar 07) | |
| Thu Jul 10 | 12. Probability (John) VideoRecording | Ch. 12.1-12.5 Note 6.1-6.2 | ||||
| 4 | Mon Jul 14 | 13. Bayes Nets: Representation (John) VideoRecording | Ch. 13.1-13.3 Note 6.3-6.4 | 6. Probability and Bayes Nets | HW5
(due Wed, Mar 05) Part A Part B Solutions | |
| Tue Jul 15 | 14. Bayes Nets: Independence (John) VideoRecording | Ch. 13.2 Note 6.5 | ||||
| Wed Jul 16 | 15. Bayes Nets: Inference (John) VideoRecording | Ch. 13.3 Note 6.6 | 7. BN Inference and Sampling | HW6
(due Wed, Mar 12) Part A Part B Solutions | ||
| Thu Jul 17 | 16. Bayes Nets: Sampling (John) VideoRecording | Ch. 13.3-13.4 Note 6.7-6.8 | ||||
| 5 | Mon Jul 21 | 17. Decision Networks and VPI (John) VideoRecording | Ch. 16.5-16.6 Note 7.1-7.3 | Midterm Review | ||
| Tue Jul 22 | Midterm (Wed Mar 19, 7–9pm PT) | |||||
| Wed Jul 23 | 18. HMMs (John) VideoRecording | Ch. 14.3, 14.5 Note 8.1-8.3 | ||||
| Thu Jul 24 | Spring Break | |||||
| 6 | Mon Jul 28 | |||||
| Tue Jul 29 | 19. Particle Filtering (John) VideoRecording | Ch. 14.3 Note 8.4-8.5 | 8. VPI and HMMs | HW7
(due Fri, Apr 04) Part A Part B Solutions | Project 4
(due Fri Apr 11) | |
| Wed Jul 30 | 20. ML I: Naive Bayes (Oliver) VideoRecording | Ch. 20.1-20.2 Note 9.1-9.2 | ||||
| Thu Jul 31 | 21. ML II: Perceptrons (Oliver) VideoRecording | Ch. 19.6 Note 9.3-9.5, 9.7, 9.8 | 9. Particle Filtering and Naive Bayes | HW8
(due Wed, Apr 09) Part A Part B Solutions | ||
| 7 | Mon Aug 04 | 22. ML III: Neural Networks (Oliver) VideoRecording | Ch. 19.7 Note 9.6, 9.9 | |||
| Tue Aug 05 | 23. ML IV: Applications & Decision Trees (Oliver) VideoRecording | Ch. 19.3 | 10. ML | HW9
(due Wed, Apr 16) Part A Part B Solutions | Project 5
(due Fri Apr 25) | |
| Wed Aug 06 | 24. ML V: Transformers (Oliver) Recording | Ch. 24.4-24.5 | ||||
| Thu Aug 07 | 25. Guest Lecture by Suhong Moon and Arnaud Fickinger Recording | 11. ML 2 | HW10
(due Wed, Apr 23) Part A Part B Solutions | |||
| 8 | Mon Aug 11 | 26. Guest Lecture by Genevieve Smith: Responsible Artificial Intelligence: Understanding the Issues & Opportunities. Recording | ||||
| Tue Aug 12 | 27. Guest Lecture by Akshat Gupta: Interpretability in Large Language Models Recording | No Discussion | ||||
| Wed Aug 13 | 28. Summary Recording | |||||
| Thu Aug 14 | RRR Week | 12. Final Review |