| 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.) |
| 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) |