Date |
Topic |
Notes |
Reading |
Jan 11 |
Course overview. |
|
|
Jan 13 |
Introduction to AI. |
|
|
Jan 18 |
Problem solving as search. |
|
|
Jan 20 |
Uninformed search; heuristic search. |
|
|
Jan 25 |
A* search; local search. |
|
|
Jan 27 |
Adverarial search. |
|
|
Feb 1 |
Constraint satisfaction. |
|
|
Feb 3 |
Constraint satisfaction (cont). |
|
|
Feb 8 |
Knowledge representation. |
|
|
Feb 10 |
Propositional logic; reasoning. |
|
|
Feb 15 |
First order logic. |
|
|
Feb 17 |
Logical inference. |
|
|
Feb 22 |
Probability and uncertainty. |
|
|
Feb 24 |
Representing uncertain knowledge. |
|
|
Mar 1 |
Bayesian networks. |
|
|
Mar 3 |
Bayesian networks (cont). |
|
|
Mar 8 |
midterm review. |
|
|
Mar 10 |
Exact inference algorithms. |
|
|
Mar 15 |
SPRING BREAK; NO CLASS. |
|
|
Mar 17 |
SPRING BREAK; NO CLASS. |
|
|
Mar 22 |
Approximate inference algorithms. |
|
|
Mar 24 |
Decision making. |
|
|
Mar 29 |
Sequential decision making. |
|
|
Mar 31 |
Markov decision process. |
|
|
Apr 5 |
Markov decision process (cont). |
|
|
Apr 7 |
Reinforcement learning. |
|
|
Apr 12 |
Learning as search. |
|
|
Apr 14 |
Learning (cont) |
|
|
Apr 19 |
Relational learning. |
|
|
Apr 21 |
Relational learning II. |
|
|
Apr 26 |
Flexible topic. |
|
|
Apr 28 |
Final review. |
|
|