Week Date Topics Slides
1 3/5(Tue)  History (Ch1. Introduction)
3/7(Thu)  Agents (Ch 2. Intelligent Agents)
2 3/12(Tue)  Search 1 (Ch 3. Solving Problems by Searching)
3/14(Thu)  Search 2 (Ch 4. Beyond Classical Search)
3 3/19(Tue)  Search 3 (Ch 5. Adversarial Search)
3/21(Thu)  Practice Session 1 & Project 1 Announcement
4 3/26(Tue)  Logical Reasoning 1 (Ch 7. Logical Agents)
3/28(Thu)  Logical Reasoning 2
 (Ch 8. First-Order Logic, Ch 9. Inference in First-Order Logic)
5 4/2(Tue)  Practice Session 2
4/4(Thu)  Probabilistic Reasoning 1 (Ch 13. Quantifying Uncertainty)
6 4/9(Tue)  Probabilistic Reasoning 2
 (Ch 14. Probabilistic Reasoning, Bayesian Networks)

4/11(Thu)  Probabilistic Reasoning 3 (Ch 14. Exact Inference in BNs)
7 4/16(Tue)  Probabilistic Reasoning 4 (Ch 14. Approximate Inference in BNs)
4/18(Thu)  Review and Discussion
8 4/23(Tue)  Mid term
4/25(Thu)  Practice Session 3 (Hidden Markov Models)
 Project 2 Announcement
9 4/30(Tue)  Temporal Reasoning 1
 (Ch. 15. Probabilistic Reasoning over Time, HMM)

5/2(Thu)  Temporal Reasoning 2
 (Ch. 15. Kalman Filters, DBN, Particle Filters))
10 5/7(Tue)  Temporal Reasoning 3 (Ch. 15. Dynamic Bayesian Networks)
5/9(Thu)  Learning Probabilistic Models 1
 (Ch 20. Learning Probabilistic Models 1)

11 5/14(Tue)  Neural Networks
 (Ch 18.7. Artificial Neural Networks))

5/16(Thu)  Practice Session 4
12 5/21(Tue)  Neural Networks
 (Ch 18.7. Artificial Neural Networks))
5/23(Thu)   Natural Language (Ch 22-23. Natural Language Processing)
13 5/28(Tue)  Vision (Ch 24. Perception)
5/30(Thu)  Robotics (Ch. 25. Robotics)
14 6/4(Tue)  Final Exam
6/6(Thu)  Holiday
15 6/11(Tue)  Project 2 Poster Presentation
6/13(Thu)  Future of AI (Discussion)