Lecture | Date | Chapters, 2nd Edition |
Chapters, 3rd Edition |
Slides | Topic |
1 | Thu 08/26 | 1, 2 | 1, 2 |
Chapter 1 ((c)S. Russel) Chapter 2 ((c)S. Russel) |
Course Details and Overview Introduction to AI and Agents |
2 | Tue 8/31 | 3 | 3.1-3.4 |
Slides ((c)S. Russel) Implementation Notes |
Solving Problems by Search |
3 | Thu 09/02 | 4 | 3.5-3.6 | Slides ((c)S. Russel, Cook) | Informed Search |
4 | Tue 09/07 | 6 | 5 | Slides ((c)S. Russel) | Game Playing |
5 | Thu 09/09 | 6 | 5 | Implementation Notes | Game Playing, continued |
6 | Tue 09/14 | 7 | 7 | Slides ((c)S. Russel) | Knowledge and Logic Reasoning |
7 | Thu 09/16 | 7 | 7 | Inference by Enumeration | |
8 | Tue 09/21 | 7 | 7 | Inference, continued | |
9 | Thu 09/23 | First Midterm | |||
10 | Tue 09/28 | 7 | 7 | Midterm recap - Inference, continued | |
11 | Thu 09/30 | 7 | 7 | Resolution, Conjunctive Normal Forms | |
12 | Tue 10/05 | 8 | 8 | Slides ((c)S. Russel) | First Order Logic |
13 | Thu 10/07 | 9 | 9 | Slides ((c)S. Russel) | Inference in First Order Logic |
14 | Tue 10/12 | 11 | 10 | Slides ((c)S. Russel) | Planning |
15 | Thu 10/14 | 11 | 10 | Notes on planning | Planning, continued |
16 | Tue 10/19 | 12 | 11 | Slides ((c)S. Russel) | Conditional Planning and Replanning |
17 | Thu 10/21 | 13 | 13 | Slides ((c)S. Russel) | Probability |
18 | Tue 10/26 | 13 | 13 | Probability, continued | |
19 | Thu 10/28 | Second Midterm | |||
20 | Tue 11/02 | 13 | 13 | Midterm recap, Joint Probability Distributions | |
21 | Thu 11/04 | 14.1-14.4 | 14.1-14.4 | Slides ((c)S. Russel) | Bayesian networks |
22 | Tue 11/09 | 14.1-14.4 | 14.1-14.4 | Bayesian networks, continued | |
23 | Thu 11/11 | 18.1-18.3 | 18.1-18.3 | Slides ((c)S. Russel) | Learning Methods, Decision Trees |
24 | Tue 11/16 | 18.1-18.3 | 18.1-18.3 | Notes on Information Gain | Decision Trees, continued |
25 | Thu 11/18 | 20.1, 20.5 | 20.1, 18.7 |
MAP-ML ((c)S. Russel) Neural Networks ((c)S. Russel) |
MAP estimation, ML estimation Neural Networks |
26 | Tue 11/23 | 20.1, 20.5 | 20.1, 18.7 | Notes on MAP and ML | More on MAP, ML, and Neural Networks |
27 | Tue 11/30 | Overview of Material for Midterm 3 | |||
28 | Thu 12/02 | Third Midterm | |||
27 | Tue 12/07 | Midterm Recap |
This schedule is tentative and subject to change. If changes are necessary they will be announced in class and posted in the schedule on the course page.