Week Date Topics Slides
1 3/3  Course Introduction
3/8  Lecture 1. Introduction
2 3/10  Lecture 2. Intelligent Agents
3/15  Lecture 3. Problem Solving by Searching
3 3/17  Lecture 4. Beyond Classical Search
3/22  Lecture 5. Adversarial Search
4 3/24  Lecture 6. Logical Agents
 Project 1 Announcement
3/29  Lecture 7. First-Order Logic
5 3/31  Lecture 8. Inference in First-Order Logic
4/5  Lecture 9. Planning
6 4/7  Lecture 10. Uncertainty and Probability
4/12  Lecture 11. Bayesian Networks
7 4/14  Lecture 12. Probabilitic Reasoning over Time
4/19  Review
8 4/21  Midterm
4/26  Lecture 13. Temporal Probability Models
 Project 2 Announcement
9 4/28  Lecture 14. Markov Decision Processes
5/3  Lecture 15. Learning from Examples
10 5/5  Children’s Day
5/10  Lecture 16. Deep Neural Networks
11 5/12  Lecture 17. Knowledge in Learning
5/17  Lecture 18. Learning Probabilistic Models
12 5/19  Lecture 19. Reinforcement Learning
5/24  Lecture 20. Language
13 5/26  Lecture 21. Vision
5/31  Lecture 22. Robotics
14 6/2  Lecture 23. Human Level AI
6/7  Review
15 6/9  Final exam
6/14  Project 2 Poster Presentation