CSE 4308 / CSE 5360 - Artificial Intelligence I | |||||
Textbook: S. Russell and P. Norwig, "Artificial Intelligence: A Modern Approach", second edition, Prentice Hall, 2003 | |||||
Tentative Lecture and Assignment Schedule | |||||
Fall Semester 2007 - TuTh 2:00 - 3:20 | |||||
Class | Date | Textbook Readings | Other Readings | Lecture Topics | Assignments |
1 | 08/28 | 1 | Slides ((c)S. Russel) | Course Details and Overview | |
2 | 08/30 | 2 | Slides ((c)S. Russel) | Introduction to AI and Agents | |
3 | 09/04 | Slides ((c) Cook) | LISP | ||
4 | 09/06 | 3 | Slides ((c)S. Russel) | Solving Problems by Search | |
5 | 09/11 | 4 | Search continued | ||
6 | 09/13 | 4 | Slides ((c)S. Russel, Cook) | Search continued | |
7 | 09/18 | 4 | Search continued | ||
8 | 09/20 | 6 | Slides ((c)S. Russel) | Game Playing | |
9 | 09/25 | 6 | Game Playing continued | ||
10 | 09/27 | 7 | Slides ((c)S. Russel) | Knowledge and Logic Reasoning | |
11 | 10/02 | 8 | Slides ((c)S. Russel) | First Order Logic, Knowledge Engineering | |
12 | 10/04 | Exam 1 | |||
13 | 10/09 | 8 | Proofs | ||
14 | 10/11 | 9 | Slides ((c)S. Russel) | Resolution - Unification | |
15 | 10/16 | 11 | Slides ((c)S. Russel) | Planning | |
16 | 10/18 | 11 | Slides part 1((c)S. Rajendran), Slides part 2((c)S. Rajendran) |
Planning continued | |
17 | 10/23 | 12 | Slides ((c)S. Russel) | Conditional Planning and Replanning | |
18 | 10/25 | 13 | Slides ((c)S. Russel) | Uncertainty | |
19 | 10/30 | 14.1-14.3 | BN Slides ((c)S. Russel) | Probabilistic Reasoning | |
20 | 11/01 | 14.7 (pages 526-527) | FLL_Fuzzy_Logic_Tutorial | Fuzzy Logic | |
21 | 11/06 | 18.1 - 18.4 | Slides ((c)S. Russel) | Learning Methods | |
22 | 11/08 | 18.1 - 18.4 | Learning Methods | ||
23 | 11/13 | 18.1 - 18.4 | Learning Methods | ||
24 | 11/15 | Exam 2 | |||
25 | 11/20 | 20 | Slides ((c)S. Russel) | Statistical Machine Learning | |
11/22 | Thanksgiving - No Class | ||||
26 | 11/27 | 20 | Statistical Machine Learning | ||
27 | 11/29 | 20 | Slides ((c)S. Russel) | Statistical Machine Learning | |
28 | 12/04 | 20 | Statistical Machine Learning | ||
29 | 12/06 | Conclusions and Review | |||
30 | 12/11 | Final Exam, 2:00pm-4:30pm. Covers all Course Material |
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.