CS121 - Introduction to
Artificial Intelligence
___________________________________________________________________________________________
Schedule & Syllabus
|
Date |
Topic |
Out |
Due (Thu,) |
Russell
& Norvig textbook |
Slides (ppt) |
Slides (pdf) |
|
4/1 |
Introduction |
|
|
Chap. 1 and 2 |
||
|
4/6 |
Search problems |
|
|
Chap. 3, 3.1-2 |
||
|
4/8 |
Blind Search |
HW1 |
|
Chap. 3, 3.1-2 + 3.3-5 |
||
|
4/13 |
Heuristic search (1/3) |
|
|
Chap. 4, 4.1-3 |
||
|
4/15 |
Heuristic search (2/3) |
HW2 |
HW1 |
Chap. 4, 4.1-3 |
||
|
4/20 |
Heuristic search (3/3/) + Motion planning (1/2) |
|
|
|
||
|
4/22 |
Action planning |
HW3 |
HW2 |
Chap. 11, 11.1-4 |
||
|
4/27 |
Motion planning (2/2) |
|
|
|||
|
4/29 |
Constraint satisfaction |
HW4 |
HW3 |
Chap. 5 |
||
|
5/4 |
Constraint propagation |
|
|
Chap. 5 + 24 (p.
881-884) |
||
|
5/6 |
Introduction to uncertainty |
|
HW4 |
Chap. 3, Sect 3.6 +
Chap. 13 |
||
|
5/11 |
Non-deterministic uncertainty |
|
|
Chap. 12, 12.3-5 |
||
|
5/13 |
Adversarial Search |
HW5 |
|
Chap. 6 |
||
|
5/18 |
Deciding under probabilistic uncertainty |
|
|
Chap. 17, 17.1-5 |
||
|
5/20 |
Bayesian nets |
HW6 |
HW5 |
Chap. 14, 14.1-4 |
||
|
5/25 |
Memorial Day |
|
|
|
|
|
|
5/27 |
Inductive learning (1/2) |
|
HW6 |
Chap. 18, 18.1-3 |
||
|
6/1 |
Inductive learning (2/2) |
|
|
Chap. 20, 20.5 |
||
|
6/3 |
Course review with CAs |
|
|
|
|
|
-
Midterm:
Wednesday May 13th at 7-9pm in room 320-105.
-
Final:
Tuesday June 9th at 8:30-11:30am in Hewlett 102 and 201.