1 |
3/2(Tue) |
Course Introduction |
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3/4(Thu) |
Lecture 1. Introduction |
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2 |
3/9(Tue) |
Lecture 2. Intelligent Agents |
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3/11(Thu) |
Lecture 3. Problem Solving by Searching |
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3 |
3/16(Tue) |
Lecture 4. Beyond Classical Search |
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3/18(Thu) |
Lecture 5. Adversarial Search |
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4 |
3/23(Tue) |
Lecture 6. Logical Agents
Project 1 Announcement |
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3/25(Thu) |
Lecture 7. First-Order Logic |
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5 |
3/30(Tue) |
Lecture 8. Inference in First-Order Logic |
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4/1(Thu) |
Lecture 9. Planning |
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6 |
4/6(Tue) |
Lecture 10. Uncertainty and Probability |
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4/8(Thu) |
Lecture 11. Bayesian Networks |
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7 |
4/13(Tue) |
Lecture 12. Probabilitic Reasoning over Time |
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4/15(Thu) |
Review |
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8 |
4/20(Tue) |
Midterm |
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4/22(Thu) |
Lecture 13. Temporal Probability Models
Project 2 Announcement |
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9 |
4/27(Tue) |
Lecture 14. Markov Decision Processes |
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4/29(Thu) |
Lecture 15. Learning from Examples |
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10 |
5/4(Tue) |
Lecture 16. Deep Neural Networks |
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5/6(Thu) |
Lecture 17. Knowledge in Learning |
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11 |
5/11(Tue) |
Lecture 18. Learning Probabilistic Models |
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5/13(Thu) |
Lecture 19. Reinforcement Learning |
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12 |
5/8(Tue) |
Lecture 20. Language |
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5/20(Thu) |
Lecture 21. Vision |
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13 |
5/25(Tue) |
Lecture 22. Robotics |
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5/27(Thu) |
Lecture 23. Human Level AI |
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14 |
6/1(Tue) |
Review |
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6/3(Thu) |
Final exam |
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15 |
6/8(Tue) |
Project 2 Poster Presentation |
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