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CSE 473 - Introduction to Artificial Intelligence - Autumn 2019
MWF 14:30-15:20 in CSE2 G10
Staff email : cse473-staff[at]cs[dot]washington[dot]edu
CSE 473 - Introduction to Artificial Intelligence - Autumn 2019 MWF 14:30-15:20 in CSE2 G10 Staff email : cse473-staff[at]cs[dot]washington[dot]edu |
 Instructor: Hanna Hajishirzi Office hours: Mon 11-12 am, Allen 654 |
 TA: Aida Amini Office hours: Mon 4-5 pm, Allen 220 |
 TA: Svetoslav Kolev Office hours: Wed 12-1pm, Allen 220 |
 TA: Christopher Clark Office hours: Tue 2-3pm, Allen 220 |
 TA: Andrey Ryabtsev Office hours: Wed 5-6 pm, Allen 220 |
 TA: Alyssa La Fleur Office hours: Fri 1:30 -2:30, Allen 021 |
 TA: Xinyue Chen Office hours: Thu 3-4 pm, Allen 220 |
| Week | Dates | Topics & Lecture Notes | Readings | Assignments |
|---|---|---|---|---|
| 1 | Sept 25, 27 | Introduction; Search | R&N, Ch. 1,2 (optional); R&N 3.1-3.4 | PS0 No Due Date |
| 2 | Sept 30, Oct 2, 4 | Search (cont.); Informed Search [Annotated slides] | R&N 3.5-3.7; Search visualization tool | |
| 3 | Oct 7, 9, 11 | Informed Search (cont.); Adversarial Search[Annotated slides] | R&N 5.1-5.5 | PS1 Due: Oct 10 |
| 4 | Oct 14, 16, 18 | Expectimax; Markov Decision Processes (MDPs) | R&N 17.1-17.3 | |
| 5 | Oct 21, 23, 25 | Markov Decision Processes (MDPs II) [Annotated slides] | R&N 21.1-21.5 | HW1 Due: Oct 23 |
| 6 | Oct 28, 30, Nov 1 | Reinforcement Learning (RL) - Midterm Review | R&N 13; 21 | PS2 Due: Oct 30 |
| 7 | Nov 4, 6, 8 | Reinforcement Learning (RL II)[Annotated slides] | R&N 21 | |
| 8 | Nov 13, 15 | Uncertainty ;Bayesian Networks [Annotated slides] | R&N 13; 14.1-14.3 | PS3 Due: Nov 15 |
| 9 | Nov 18, 20, 22 | Hidden Markov Models(HMMs) [Annotated slides] | R&N 15.3 | |
| 10 | Nov 25 | HMM inference [Annotated slides] | R&N 15.3 | HW2 Due: Nov 27 |
| 11 | Dec 2, 4, 6 | Bayes Net inference; Applications | R&N 14.4-14.5; 18.1-18.2; 20.1-20.2; 22-25 | PS4 Due: Dec 6 |