CSE 473 - Intoduction to Artificial Intelligence

University of Washington Department of Computer Science & Engineering

CSE 473 - Introduction to Artificial Intelligence - Spring 2016
MWF 1:30-2:20 in MGH 241

Instructor: Luke Zettlemoyer (lsz at cs)
Office hours: Wed 2:30-3:30, CSE 658 TA: Justin Bare (jbare at cs)
Office hours: Mon 3:30-4:30, CSE 006 TA: Daniel Butler (djbutler at cs)
Office hours: Thurs 10:00-11:00, CSE 014 TA: Kevin Liang (kevinl95 at cs)
Office hours: Tues 12:30-1:30, CSE 021

Schedule [subject to change!]

Week	Dates	Topics & Lecture Notes	Readings
1	Mar 28, 30; Apr 1	Introduction; Search	R&N, Ch. 1,2 (optional); R&N 3.1-3.4
2	Apr 4, 6, 8	Search (cont.); Informed Search	R&N 3.5-3.7
3	Apr 11, 13, 15	Adversarial Search; Expectimax	R&N 5.1-5.5
4	Apr 18, 20, 22	Markov Decision Processes (MDPs)	R&N 17.1-17.3
5	Apr 25, 27, 29	MDPs (cont.); Reinforcement Learning (RL)	R&N 21.1-21.5
6	May 2, 6	RL (cont.); Uncertainty	R&N 13
7	May 9, 11, 13	Hidden Markov Models (HMMs)	R&N 15.1-15.3
8	May 16, 18	Bayesian Networks (BNs)	R&N 14.1-14.3
9	May 23, 25, 27	Inference in Bayesian Networks	R&N 14.4-14.5
10	Jun 1, 3	Machine Learning	R&N 18.1-18.2; 20.1-20.2

Textbook

Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall, Third Edition (2009) [R&N].

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.

Project 0: Python Tutorial (Not Graded)
Project 1: Search in Pacman (Due: 4/17 by 11:45pm)
Project 2: MultiAgent Pacman (Due: 5/1 by 11:45pm)
Project 3: MDPs & RL (Due: 5/22 by 11:45pm)
Project 4: Ghostbusters (Inference and Filtering) (Due: 6/5 at 11:45pm)

Exams

Midterm Exam (Due: May 8 at 11:45pm)
Final Exam (Due: Jun 10 at 5:00pm)

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Communication

Course Administration and Policies

Your grade will be as follows:
- 55% programming assignments
- 20% take home midterm
- 20% take home final exam
- 5% class participation.
Assignments policy
- Assignments will be done individually unless otherwise specified. You may discuss the subject matter with other students in the class, but all final answers must be your own work.
- Each student has four penalty-free late days for the whole quarter. All other late submissions will be penalized 20% of the maximum grade per day.

Department of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX