| Date | Topic | Required Reading | Notes | Assignments Out | Slides |
| 8/23 | Introduction, Agents | ch 1 | |||
| 8/28 | State Space Search | ch 3.1-4 (2e: ch 3) | Project 1, due 9/13 | ||
| 8/30 | Heuristic Search | ch 3.5-6 (2e: ch 4.1-3) | |||
| 9/4 | Local Search | ch 4.1 | Think of two problems that could be used with a genetic algorithm framework. The first problem should make crossover easy (minimal conflicts between sections of the parents being combined) and the second problem should make crossover more difficult. Be ready to discuss on Thursday 9/6. | ||
| 9/6 | Constraint Satisfaction Problems | ch 6.1-6.4 | Homework 1, due 9/20. | ||
| 9/11 | Adversarial Search | ch 5.1-5.3 | |||
| 9/13 | A* Project Questions | ||||
| 9/18 | Adversarial Search II | ch 5.4 | Project 2, due 10/2, 11:59pm | ||
| 9/20 | Probability crash course | ch 13 | |||
| 9/25 | Probability crash course II | ||||
| 9/27 | Bayes Nets I | ch 14.1-14.2 | Homework 2, due 10/9 in class, in hard copy. | ||
| 10/2 | Bayes Nets II | ch 14.4 | |||
| 10/4 | Bayes Nets III | ch 14.4-14.5 | |||
| 10/9 | Review for midterm | ||||
| 10/11 | Midterm | ||||
| 10/16 | Midterm debriefing, Learning | 18.1, 18.2 | |||
| 10/18 | The Naive Bayes model | (not well covered in book, see slides) | |||
| 10/23 | Hypothesis testing, maximum likelihood, maximum a posteriori, combining evidence using (assumed) conditional independence | (not well covered in book, see slides) | slides | ||
| 10/25 | Learning Naive Bayes classifiers (spam classification) | (not well covered, see slides) | Project 3, due 11/13 11:59pm on Moodle. | slides | |
| 10/30 | Markov models I | 15.1 | |||
| 11/1 | No class; professor ill | ||||
| 11/6 | Markov models II | 15.2-15.3 | |||
| 11/8 | Markov models III | 15.2-15.3 | Homework 3, due 11/20 in class, in hard copy. | ||
| 11/13 | Reinforcement Learning I | 21.1-21.2 | |||
| 11/15 | Reinforcement Learning II: Value Iteration | ||||
| 11/20 | Reinforcement Learning III: Value Iteration and Q-learning | ||||
| 11/27 | Reinforcement Learning IV: Q-learning | Project 4, due 12/5 11:59pm on Moodle. | |||
| 11/29 | Practice with Q-learning | ||||
| 12/4 | Wrapup | slides |