Week Date Topics Slides
1 3/6(Tue)  History (Ch1. Introduction)
3/8(Thu)  Agents (Ch 2. Intelligent Agents)
2 3/13(Tue)  Search 1 (Ch 3. Solving Problems by Searching)
3/15(Thu)  Search 2 (Ch 4. Beyond Classical Search)
3 3/20(Tue)  Search 3 (Ch 5. Adversarial Search)
3/22(Thu)  Practice Session 1 & Project 1 Announcement
4 3/27(Tue)  Logical Reasoning 1 (Ch 7. Logical Agents)
3/29(Thu)  Logical Reasoning 2
 (Ch 8. First-Order Logic, Ch 9. Inference in First-Order Logic)
5 4/3(Tue)  Practice Session 2
4/5(Thu)  Probabilistic Reasoning 1 (Ch 13. Quantifying Uncertainty)
6 4/10(Tue)  Probabilistic Reasoning 2
 (Ch 14. Probabilistic Reasoning, Bayesian Networks)

4/12(Thu)  Probabilistic Reasoning 3 (Ch 14. Exact Inference in BNs)
7 4/17(Tue)  Probabilistic Reasoning 4 (Ch 14. Approximate Inference in BNs)
4/19(Thu)  Review and Discussion
8 4/24(Tue)  Mid term
4/26(Thu)  Practice Session 3 (Hidden Markov Models)
 Project 2 Announcement
9 5/1(Tue)  Temporal Reasoning 1
 (Ch. 15. Probabilistic Reasoning over Time, HMM)

5/3(Thu)  Temporal Reasoning 2
 (Ch. 15. Kalman Filters, DBN, Particle Filters))
10 5/8(Tue)  Temporal Reasoning 3 (Ch. 15. Dynamic Bayesian Networks)
5/10(Thu)  Learning Probabilistic Models 1
 (Ch 20. Learning Probabilistic Models 1)

11 5/15(Tue)  Neural Networks
 (Ch 18.7. Artificial Neural Networks))

5/17(Thu)  Neural Networks
 (Ch 18.7. Artificial Neural Networks))
12 5/22(Tue)  Holiday
5/24(Thu)  Practice Session 4
13 5/29(Tue)   Natural Language (Ch 22-23. Natural Language Processing)
5/31(Thu)  Vision (Ch 24. Perception)
14 6/5(Tue)  Robotics (Ch. 25. Robotics)
6/7(Thu)  Final Exam
15 6/12(Tue)  Project 2 Poster Presentation
6/14(Thu)  Future of AI (Discussion)