| 01/18 (Th) |
Introduction, Overview of AI |
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AI Chap 01 |
| 01/23 (Tu) |
Intelligent Agents |
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AI Chap 02 |
| 01/25 (Th) |
Problem Solving by Search: Uninformed Search |
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AI Sec 3.2 - 3.4 |
| 01/30 (Tu) |
Problem Solving by Search: Informed Search |
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AI Sec 3.5 - 3.6 |
| 02/01 (Th) |
Planning |
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AI Sec 7.1, 7.4, 10.1 |
| 02/06 (Tu) |
Quantifying Uncertainty |
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AI Chap 13 |
| 02/08 (Th) |
Probabilistic Reasoning: Bayes Nets |
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AI Chap 14 |
| 02/13 (Tu) |
Probabilistic Reasoning: Markov Process |
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AI Chap 15 |
| 02/15 (Th) |
Probabilistic Reasoning: HMM |
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AI Chap 15 |
| 02/20 (Tu) |
Learning from Examples: Naive Bayes |
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AI Sec 13.5 |
| 02/22 (Th) |
Learning from Examples: Perceptron |
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AI Chap 18 |
| 02/27 (Tu) |
Learning from Examples: Linear Models |
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AI Chap 18 |
| 02/29 (Th) |
Mid-term Exam |
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| 03/05 (Tu) |
Spring Recess |
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| 03/07 (Th) |
Spring Recess |
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| 03/12 (Tu) |
Learning from Examples: Non-parametric Models |
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| 03/14 (Th) |
Learning from Examples: SVM, Kernel |
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| 03/19 (Tu) |
Learning from Examples: Neural Networks |
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| 03/21 (Th) |
Reinforcement Learning: Markov Decision Process |
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| 03/26 (Tu) |
Reinforcement Learning: Model-based, Q-learning |
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