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| Date | Topics | Artificial Intelligence | Additional Readings | Assignment Due in Class | Slides |
|---|---|---|---|---|---|
| January 4 | What is AI? | Chapter 1 | Brooks Turing, Sec. 1-5,7 | 1 | |
| January 9 | Intelligent Agency | Chapter 2 | 2 | ||
| January 11 | Basic & Heuristic Search | Chapter 3 | Scheme | 3 | |
| January 16 | Informed & Optimal Search, Game Search | Chapter 4, 6 | 4 | ||
| January 18 | Adversarial & Game Search | Chapter 6 | Search | 5 | |
| January 23 | Constraint Satisfaction | Chapter 5 | 6 | ||
| January 25 | Genetic Search Learning | Chapter 4.3 | Games and Constraints | 7 | |
| January 30 | Learning: Nearest Neighbor Information Retrieval | Chapter 20.4 | Hubs and Authorities | 8 | |
| February 1 | Learning: Perceptrons & Neural Networks | Chapter 20.5 | GAs | 9 | |
| February 6 | Midterm Exam | 10 | |||
| February 8 | Learning: Decision Trees | Chapter 18 | |||
| February 13 | Bayes' Nets Medical Reasoning | Chapter 13,14 | Szolovits | 11 | |
| February 15 | Probabilistic Reasoning II Spam Assassin | Chapter 13,14 | Decision Trees | 12 | |
| February 20 | Probabilistic Reasoning II Hidden Markov Models | 13 | |||
| February 22 | Probabilistic Language Processing | Chapter 23 | Bayesian Inference | 14 | |
| February 27 | Probabilistic Language Processing | Chapter 23 | Chapter 6 | 16 | |
| March 1 | Computer vision | Speech Processing | 17 | ||
| March 6 | Robotics Roomba and Rovers | 18 | |||
| March 15 | Final Exam 10:30-12:30 |