Paul G. Allen School of Computer Science & Engineering

CSE 473 - Introduction to Artificial Intelligence - Autumn 2023
Mon/Wed/Fri, 2:30-3:20 PM in CSE2 G20

Staff email :

Portrait of Hanna Hajishirzi
Instructor: Hanna Hajishirzi
Office hours: Tue, 9AM-9:45AM (bi-weekly, starting Oct 3)
Location: Zoom

Portrait of Akari Asai
TA: Akari Asai
Office hours: Wed, 9:30AM-10:30AM
Location: CSE 678
Portrait of Yizhong Wang
TA: Yizhong Wang
Office hours: Wed, 4PM-5PM
Location (hybrid): CSE 678 and Zoom
Portrait of Skyler Hallinan
TA: Skyler Hallinan
Office hours: Fri, 10:30AM-11:30AM
Location: Zoom
Portrait of Michael Lee
TA: Michael Lee
Office hours: Thu, 11AM-12PM
Location: CSE2 153
Portrait of Benlin Liu
TA: Benlin Liu
Office hours: Fri, 3:30PM-4:30PM
Location: CSE2 274
Portrait of Wisdom Ikezogwo
TA: Wisdom Ikezogwo
Office hours: Tue, 11AM-12PM
Location: Zoom
Portrait of William Howard-Snyder
TA: William Howard-Snyder
Office hours: Thu, 1PM-2PM
Location: CSE1 220
Portrait of Stefan Todoran
TA: Stefan Todoran
Office hours: Mon, 11:30AM-12:30PM
Location: CSE2 131
Portrait of Khushi Khandelwal
TA: Khushi Khandelwal
Office hours: Mon, 12PM-1PM
Location: CSE1 5th Floor breakout
Portrait of Kevin Farhat
TA: Kevin Farhat
Office hours: Thu, 2:30-3:30
Location: CSE2 152
Portrait of Rohan Gupta
TA: Rohan Gupta
Office hours: Tue, 12:00PM-1:00PM
Location: Zoom

Schedule [subject to change!]

Week Dates Topics & Slides Lecture Notes Readings Programming Assignments Written Assignments Quizzes
1 Sep 27, 29 Introduction; Search Search Notes R&N 1-2; 3.1-3.4
Search Visualization Tool
PS0 No Due Date
2 Oct 2, 4, 6 Search; Informed Search; Informed Search Notes R&N 3.5-3.7, 4; 5.1-5.4
3 Oct 9, 11, 13 Informed Search; Adversarial Search; R&N 5.5
4 Oct 16, 18, 20 Adversarial Search; Expectimax; Adversarial Search/Expectimax Notes R&N 17 PS1 Due: Oct 20 HW1 Due: Oct 16 Quiz 1: Oct 20
5 Oct 23, 25, 27 Markov Decision Processes (MDPs) R&N 22.1-22.5
6 Oct 30, Nov 1, 3 Markov Decision Processes (MDPs) MDP Notes R&N 22; 12, 13.1-13.4 PS2 Due: Nov 3
7 Nov 6, 8, 10 Reinforcement Learning RL Notes R&N 19, 19.6-19.9
8 Nov 13, 15, 17 Reinforcement Learning II; Uncertainty R&N 21
9 Nov 20, 22, 24 Bayes Nets; Markov Models; Uncertainty Notes R&N 14.1-14.3
10 Nov 27, 29, Dec 1 Hidden Markov Models (HMMs); HMMs Notes R&N 14.2 Quiz 2: Nov 29
11 Dec 4, 6, 8 Applications; Machine Learning; Language Modeling


Programming Assignments

This quarter, we will do The Pac-Man Projects. Please complete the versions listed below, as they differ in places from the originals. All work will be turned in electronically. Assignments will be due at 11:59 PM on the specified date.

Written Assignments

We estimate there will be 4 written homework assignments throughout the quarter. All work will be turned in electronically. Assignments will be due at 11:59 PM on the specified date.

In-class Quizzes

We will have two in-class quizzes throughout the quarter which will be half an hour each; these are designed to be knowledge-checks.

Discussion Board

Please use Ed for course related questions.

Course Administration and Policies


We welcome students from all backgrounds and adhere to the Allen School’s Inclusiveness Statement. If anything related to the course makes you feel unwelcome in any way, let the instructor know.


We are eager to provide necessary accommodations.

For disability accommodations, please see the UW resources.

For religious accommodations, please see the UW resources.

We recognize that our students come from varied backgrounds and can have widely-varying circumstances. If you have any unforeseen or extenuating circumstance that arise during the course, please do not hesitate to contact the instructor to discuss your situation. The sooner we are made aware, the more easily these situations can be resolved. Extenuating circumstances may include: