Assignments

CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Spring 2026

Assignment 1: Python Warmup. (lead staff member: Krish; co-lead: Sanghun)   Assignment 2: Problem Formulation and Solving Techniques. You may work solo on this or in a partnership of two. (lead staff member: Emilia; co-lead: Dilini)   Assignment 3: Written exercises on search (Individual work). The exercises are due Wednesday night, April 22. Students will get two grace days, meaning the last time to submit without a late penalty will be Friday night, April 24. Note: the latest turn-in for partial credit on this assignment is Saturday, April 25, because the staff will be releasing solutions right after that so that students can have them available while studying for the midterm exam. For those who wish to submit Latex-formatted solutions, a Latex template file and the needed image files will be made available here: a Zip archive.   Assignment 4: Adversarial Search in the game of "K in a Row with Forbidden Squares." You may do this assignment either individually or in a team of 2 (preferred). (lead staff member: Krish, co-lead: Emilia)   Assignment 5: (Individual work). The exercises are due Monday night, May 11. These written exercises cover Markov Decision Processes, Reinforcement Learning, Joint Distributions, D-Separation, Markov Models, and Hidden Markov Models, Students will get two grace days, meaning the last time to submit without a late penalty will be Wednesday night, May 13. Note: the latest turn-in for partial credit on this assignment is Friday, May 15, because the staff will be releasing solutions right after that so that students can have them available while studying for the midterm exam.   Assignment 6: Reinforcement Learning: Value Iteration and Q-Learning. Partnership is optional. (lead staff member: Sanghun; co-lead: Dilini)   Assignment 7: These exercises cover perceptrons, multilayer networks, backpropagation, auto-encoders, token embeddings, and transformers, as well as Social/Ethical Issues in Artificial Intelligence. This is an individual-work assignment. Note: No grace days available on A7, due to the tight schedule before the final. (Also the latest turn-in time for partial credit is 48 hours past the deadline.) For those who wish to submit Latex-formatted solutions, a Latex template file and the needed image files will be made available here: a Zip archive.