CSE 473 - Introduction to Artificial Intelligence - Spring 2019 MWF 9:30-10:20 in CSE2 G20 (Amazon auditorium) |
Instructor: Luke Zettlemoyer Office hours: Fr 11:30-12:30, Allen 658 |
TA: Ayaz Latif Office hours: Mo 6-7pm, Gates 150 |
TA: Aishwarya Nirmal Office hours: Th 4-5pm, CSE 021 |
TA: Rajneil Rana Office hours: We 3-4pm, Gates 151 |
TA: Jifan Zhang Office hours: Tu 1-2pm, Gates 153 |
Week | Dates | Topics & Lecture Notes | Readings |
---|---|---|---|
1 | Apr 1, 3, 5 | Introduction; Search | R&N, Ch. 1,2 (optional); R&N 3.1-3.4 |
2 | Apr 8, 10, 12 | Informed Search | R&N 3.5-3.7 |
3 | Apr 15, 17, 19 | Constraint Satisfaction Problems; Adversarial Search | R&N 5.1-5.5 |
4 | Apr 22, 24, 26 | Expectimax; Markov Decision Processes (MDPs) | R&N 17.1-17.3 |
5 | Apr 29; May 1, 3 | MDP (cont.); Reinforcement Learning (RL) | R&N 21.1-21.5 |
6 | May 6, 8, 10 | RL (cont.); Uncertainty | R&N 13 |
7 | May 13, 15, 17 | Hidden Markov Models (HMMs) | R&N 15.1-15.3 |
8 | May 20, 22, 24 | Bayesian Networks (BNs) | R&N 14.1-14.3 |
9 | May 29, 31 | Inference in Bayesian Networks | R&N 14.4-14.5 |
10 | Jun 3, 5, 7 | Machine Learning | R&N 18.1-18.2; 20.1-20.2 |