| Lecture | Date | Textbook Readings | Slides | Topic |
| 1 | Tue 08/25 | Chapters 1, 2 |
Chapter 1 ((c)S. Russel) Chapter 2 ((c)S. Russel) |
Course Details and Overview Introduction to AI and Agents |
| 2 | Thu 08/27 | Chapter 3 |
Slides ((c)S. Russel) Implementation Notes |
Solving Problems by Search |
| 3 | Tue 09/01 | Chapter 3 | Search, continued | |
| 4 | Thu 09/03 | Chapter 4 | Slides ((c)S. Russel, Cook) | Informed Search |
| 5 | Tue 09/08 | Chapter 6 | Slides ((c)S. Russel) | Game Playing |
| 6 | Thu 09/10 | Chapter 6 | Implementation Notes | Game Playing, continued |
| 7 | Tue 09/15 | Chapter 7 | Slides ((c)S. Russel) | Knowledge and Logic Reasoning |
| 8 | Thu 09/17 | Chapter 7 | Knowledge and Logic Reasoning, continued | |
| 9 | Tue 09/22 | Chapter 7 | Resolution, Conjunctive Normal Forms | |
| 10 | Thu 09/24 | Review, in preparation for first midterm | ||
| 11 | Tue 09/29 | First midterm | ||
| 12 | Thu 10/01 | Chapter 8 | Slides ((c)S. Russel) | First Order Logic, Knowledge Engineering |
| 13 | Tue 10/06 | Chapter 9 | Slides ((c)S. Russel) | Resolution - Unification |
| Thu 10/08 | Class canceled | |||
| 14 | Tue 10/13 | Chapter 11 | Slides ((c)S. Russel) | Resolution and Unification continued, Planning |
| 15 | Thu 10/15 | Chapter 11 | Planning (continued) | |
| 16 | Tue 10/20 | Chapter 11 | Notes on planning | Planning (continued) |
| 17 | Thu 10/22 | Chapters 12, 13 |
Chapter 12 ((c)S. Russel) Chapter 13 ((c)S. Russel) |
Conditional Planning and Replanning Probability and Uncertainty |
| 18 | Tue 10/27 | Chapter 13 | Probability and Uncertainty, continued | |
| 19 | Thu 10/29 |   | Review, in preparation for second midterm | |
| 20 | Tue 11/03 | Second midterm | ||
| 21 | Thu 11/05 | 14.1-14.3 | Slides ((c)S. Russel) | Bayesian Networks |
| 22 | Tue 11/10 | 14.1-14.3 | Bayesian Networks, continued | |
| 23 | Thu 11/12 | 18.1 - 18.4 | Slides ((c)S. Russel) | Learning Methods |
| 24 | Tue 11/17 | 18.1 - 18.4 | Decision Trees, Entropy | |
| 25 | Thu 11/19 | 20 | Slides ((c)S. Russel) | Decision Trees, Statistical Machine Learning |
| 26 | Tue 11/24 | 20 | Slides ((c)S. Russel) | Neural Networks |
| 27 | Tue 12/01 | 20 | Neural Networks, continued | |
| 28 | Thu 12/03 |   | Review, in preparation for the final exam | |
| Thu 12/10 | Final Exam, NH 202, 11:00am-1:30pm | |||