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| Date | Topics | Artificial Intelligence | Additional Readings | Assignment Due in Class | Slides |
|---|---|---|---|---|---|
| January 3 | What is AI? | 1 | |||
| January 8 | Reasoning by Rule: Expert Systems | Pages 53-60;117-139 | Scheme | 2 | |
| January 10 | Reasoning by Rule II | 3 | |||
| January 15 | Basic & Heuristic Search | Chapter 4 | Rule-Chaining: Bagger, Etc. | 4 | |
| January 17 | Optimal Search | Chapter 5 | 5 | ||
| January 22 | Constraint | 6 | |||
| January 24 | Constraint II | pp. 249-272 | Search: | 7 | |
| January 29 | Game Search | Chapter 6 | 8 | ||
| January 31 | Learning: Nearest Neighbor | Chapter 19 | Constraint Propagation | 9 | |
| February 5 | Midterm Exam | ||||
| February 7 | Learning: Identification Trees | Chapter 21 | 11 | ||
| February 12 | Speaker: Jont B. Allen Speech, Information, & Recognition BSLC #205: 12:00 | ||||
| February 14 | Learning: Perceptrons | Chapter 23 | 12 | ||
| February 19 | Learning: Neural Networks | Chapter 22 | Learning: NN & ID3 | 13 | |
| February 21 | Learning by Simulating Evolution | Chapter 25 | 14 | ||
| February 26 | Learning by Similarity and Difference Bayesian Inference | Chapter 16 Solovits 95 | Learning: NN | 15 | |
| February 28 | Language & Speech | 16 | |||
| March 5 | Language & Speech | 17 | |||
| March 7 | No lecture | Learning: GA's and Bayes' Nets | 17 | ||
| March 14 | Final Exam 10:30-12:30 |