|
CSE 473 - Introduction to Artificial Intelligence - Winter 2018
MWF 1:30-2:20 in MGH 389
CSE 473 - Introduction to Artificial Intelligence - Winter 2018 MWF 1:30-2:20 in MGH 389 |
|
Instructor:
Luke Zettlemoyer Office hours: Thu 11-12am, CSE 658 |
|
TA: Nicholas Ruhland Office hours: Tue 11:30-12:30pm, CSE 220 |
TA: Liyimin (Kay) Ke Office hours: Wed 9:30-10:30am, CSE 220 |
TA: Jianyang (Jane) Zhang Office hours: Fri 3:30-4:30pm, CSE 007 |
|
TA: Kenny Le Office hours: Mon 4:30-5:30pm, CSE 021 |
TA: Joseph Zhong Office hours: Tue 9:30-10:30am, CSE 007 |
TA: Nicholas FitzGerald Office hours: Thu 1-2pm, CSE 220 |
| Week | Dates | Topics & Lecture Notes | Readings |
|---|---|---|---|
| 1 | Jan 3, 5 | Introduction; Search | R&N, Ch. 1,2 (optional); R&N 3.1-3.4 |
| 2 | Jan 8, 10, 12 | Search (cont.); Informed Search | R&N 3.5-3.7 |
| 3 | Jan 17, 19 | Informed Search (cont.); Adversarial Search | R&N 5.1-5.5 |
| 4 | Jan 22, 24, 26 | Expectimax; Markov Decision Processes (MDPs) | R&N 17.1-17.3 |
| 5 | Jan 29, 31, Feb 2 | MDP (cont.); Reinforcement Learning (RL) | R&N 21.1-21.5 |
| 6 | Feb 5, 7 | RL (cont.) | R&N 13 |
| 7 | Feb 12, 14, 16 | Uncertainty; Hidden Markov Models (HMMs) | R&N 15.1-15.3 |
| 8 | Feb 21, 23 | HMMs (cont.); Bayesian Networks (BNs) | R&N 14.1-14.3 |
| 9 | Feb 26, 28, Mar 2 | BNs (cont.); Inference in Bayesian Networks | R&N 14.4-14.5 |
| 10 | Mar 5, 7, 9 | Constraint Satisfaction Problems; Machine Learning | R&N 18.1-18.2; 20.1-20.2 |