CSEP 573 - Applications of Artificial Intelligence

University of Washington Department of Computer Science & Engineering

CSEP 573 - Applications of Artificial Intelligence - Spring 2014
Thursday 6:30-9:20 in MGH 231

CSE Home

About Us

Contact Info

Instructor: Ali Farhadi (aliat cs dot washington dot edu)
Office hours: TBA TA: Dun-Yu Hsiao (dyhsiao at cs dot washington dot edu)
Office hours: TBA

Schedule [subject to change!]

Week	Dates	Topics & Lecture Notes	Readings
1	April 3	Introduction; Blind Search	R&N, Ch. 1,2 (optional); R&N Ch.3.1-3.4
2	April 10	Heuristic Search; Adversarial Search I	R&N, Ch.3.5-3.7; 5.1-5.4
3	April 17	Adversarial Search II; Expectimax; MDP	R&N, Ch.5.5-5.7;17.1-17.3
4	April 24	MDP (cont.); Reinforcement Learning	R&N, Ch.21.1- 21.5
5	May 1	Reinforcement Learning (cont.); Uncertainty	R&N, Ch.13
6	May 8	Uncertainty (cont.); Markov Models	R&N, Ch.15.1
7	May 15	Hidden Markov Models; Inference in HMM; Particle Filtering	R&N, Ch.15.1-15.3
8	May 22	Bayesian Networks; Independence in Bayesian Networks; Inference in Bayesian Netwroks	R&N, Ch.14.1-14.5
9	May 29	Samplling in Bayesian Networks Naive Bayes; Perceptron	R&N,

Course Administration and Policies

Your grade will be as follows:
- 60% programming assignments
- 10% written homeworks
- 25% 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. You are expected to maintain the utmost level of academic integrity in the course.
- Each student has four penalty-free late day for the whole quarter, other than that any late submission will be penalized at a penalty of 10% of the maximum grade per day.

Textbooks

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 Pac-man (Due Sunday April 20 at 11:59pm in Dropbox)
Project 2: MultiAgent Pac-man (Due May 2 at 11:59pm in Dropbox)
Project 3: MDPs & RL (Due May 15 at 11:59pm in Dropbox)
Project 4: Ghostbusters (Inference and Filtering) (Due May 30 at 11:59pm in Dropbox)

Written Homeworks

Homework (Due June 4, at 11:59pm in Dropbox)

Final Exam

Final exam is out! Please check your email or dropbox. You have to submit your answer before Sunday 6/8 11:59pm

Questions on the final exam will be of the same general type as on the written assignments, but will include all topics covered in the course.

Communication

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