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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 6 | Intelligent Agency | Chapter 2 | 2 | ||
January 11 | Basic & Heuristic Search | Chapter 3 | Scheme | 3 | |
January 13 | Informed & Optimal Search, Game Search | Chapter 4, 6 | 4 | ||
January 18 | Adversarial & Game Search Constraint Satisfaction | Chapter 6, 5 | Search | 5 | |
January 20 | Constraint Satisfaction Genetic Search | Chapter 5; Chapter 4.3 | 6 | ||
January 25 | Genetic Algorithms (cont'd) | Chapter 4.3 | Games and Constraints | 7 | |
January 27 | Learning: Nearest Neighbor Information Retrieval | Chapter 20.4 | 8 | ||
February 1 | Searching by Structure Learning: Perceptrons | Chapter 20.5 | Hubs and Authorities | GAs and Nearest Neighbor | 9 |
February 3 | Learning: Neural Networks | Chapter 20.5 | 10 | ||
February 8 | Midterm Exam | ||||
February 10 | Learning: Decision Trees | Chapter 18 | 11 | ||
February 15 | Bayes' Nets Medical Reasoning | Chapter 13,14 | Szolovits | Decision Trees | 12 |
February 17 | Probabilistic Reasoning II Spam Assassin | 13 | |||
February 22 | Probabilistic Reasoning II Hidden Markov Models | Bayesian Inference | 14 | ||
February 24 | Probabilistic Language Processing | Chapter 23 | 15 | ||
March 1 | Probabilistic Language Processing | Chapter 23 | Speech Processing | 16 | |
March 3 | Computer vision | 17 | |||
March 8 | Robotics Roomba and Rovers | 18 | |||
March TBD | Final Exam TBD |