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| Date | Topics | Artificial Intelligence | Additional Readings | Assignment Due in Class | Slides |
|---|---|---|---|---|---|
| January 7 | What is AI? | 1 | |||
| January 9 | Intelligent Agency | Chapter 2 | 2 | ||
| January 14 | Basic & Heuristic Search | Chapter 3 | Scheme | 3 | |
| January 16 | Informed & Optimal Search | Chapter 4 | 4 | ||
| January 21 | Constraint Satisfaction | Chapter 5 | Search | 5 | |
| January 23 | Constraint Satisfaction II | 6 | |||
| January 28 | Adversarial & Game Search | Chapter 6 | Constraint Propagation | 7 | |
| January 30 | Genetic Algorithms | Chapter 20.8 | 8 | ||
| February 4 | Planning | Chapter 12 | Games and GAs | 9 | |
| February 6 | Reasoning with Uncertainty | Chapter 13 | Szolovits | 10 | |
| February 11 | Midterm Exam | ||||
| February 13 | Probabilistic Reasoning over Time HMMs & Speech | Chapter 15 | 12 | ||
| February 18 | Learning: Decision Trees | Chapter 18 | Probabilistic Reasoning | 13 | |
| February 20 | Learning: Nearest Neighbor | Chapter 20.4 | 14 | ||
| February 25 | Learning: Perceptrons | Chapter 20.5 | HMMs; Learning: Decision Trees | 15 | |
| February 27 | Learning: Neural Networks | Chapter 20.5 | 16 | ||
| March 4 | Unsupervised Acquisition of Morphology Prof. John Goldsmith Linguistics | 17 | |||
| March 6 | Probabilistic Language Processing | Chapter 23 | Learning: Perceptrons & NNs | 18 | |
| March 11 | Probabilistic Language Processing | Chapter | Learning: Nearest Neighbor | 19 | |
| March TBD | Final Exam TBD |