Paul G. Allen School of Computer Science & Engineering

CSE 473 - Introduction to Artificial Intelligence - Spring 2019
MWF 9:30-10:20 in CSE2 G20 (Amazon auditorium)

Luke
Instructor: Luke Zettlemoyer
Office hours:
Fr 11:30-12:30, Allen 658
Ayaz
TA: Ayaz Latif
Office hours:
Mo 6-7pm, Gates 150
Aishwarya
TA: Aishwarya Nirmal
Office hours:
Th 4-5pm, CSE 021
Rajneil
TA: Rajneil Rana
Office hours:
We 3-4pm, Gates 151
Luke
TA: Jifan Zhang
Office hours:
Tu 1-2pm, Gates 153

Schedule [subject to change!]

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

Textbook

Programming Projects

This quarter, we will do The Pac-Man Projects. Please complete the versions listed below, as they differ in places from the originals.

Exams

We will have two written take-home exams, a midterm and a final. They will be posted here when available.

Assignments, Discussion Board

Available on Canvas.

Course Administration and Policies