CSE 473: Introduction to Artificial Intelligence

Summer 2026

Mon, Jun 22
1 Introduction
Slides (pptx)
Project 0 Setup
due Thu 6/25 at 11:59pm
Wed, Jun 24
2 Agents and Environments
Slides (pptx)
R&N Chapter 2
Fri, Jun 26
3 Uninformed Search
Slides (pptx)
R&N Chapter 3.1 - 3.4
Homework 1 Search
due Fri 7/3 at 11:59pm
Project 1 Search
due Thu 7/9 at 11:59pm
Mon, Jun 29
4 Informed Search
Slides (pptx)
R&N Chapter 3.5 - 3.7
Wed, Jul 1
5 Adversarial Search
Slides (pptx)
R&N Chapter 5
Fri, Jul 3
Holiday No Class

Reinforcement Learning

Mon, Jul 6
6 Markov Decision Processes
Slides (pptx)
R&N Chapter 17.1
Wed, Jul 8
7 MDPs II
Slides (pptx)
R&N Chapter 17.2 - 17.3
Fri, Jul 10
Test Search and MDPs
Project 2 Multi-Agent Search
due Thu 7/16 at 11:59pm
Homework 2 Reinforcement Learning
due Thu 7/23 at 11:59pm
Mon, Jul 13
8 Reinforcement Learning
R&N Chapter 21.1 - 21.2
Wed, Jul 15
9 Q-Learning
R&N Chapter 21.3
Fri, Jul 17
10 Reinforcement Learning II
R&N Chapter 21.3
Project 3 Reinforcement Learning
due Thu 7/30 at 11:59pm

Modeling

Mon, Jul 20
11 Probability
Wed, Jul 22
12 Graphical Models
Fri, Jul 24
13 Bayes Nets
Homework 3 Probabilistic Inference
due Thu 8/6 at 11:59pm
Mon, Jul 27
14 Bayes Nets II
Wed, Jul 29
15 Markov Models, Particle Filters

Machine Learning

Fri, Jul 31
16 Machine Learning I: Regression
Project 4 Machine Learning
due Thu 8/13 at 11:59pm
Mon, Aug 3
17 Machine Learning II: Clustering
Wed, Aug 5
18 Machine Learning III: Classification
Fri, Aug 7
Test Reinforcement Learning, Bayes Nets, Machine Learning
Homework 4 Machine Learning
due Thu 8/20 at 11:59pm
Mon, Aug 10
19 Neural Networks
Wed, Aug 12
20 Deep Learning
Fri, Aug 14
21 Transformers
Mon, Aug 17
22 Large Language Models
Wed, Aug 19
23 RLHF, Alignment
Fri, Aug 21
24 Looking Forward