CSE 573 - Artificial Intelligence I

University of Washington Department of Computer Science & Engineering

CSE 573 - Artificial Intelligence I - Spring 2014
Mon, Wed 12:00-1:20 in MGH 234

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About Us

Contact Info

Instructor: Pedro Domingos (pedro at cs)
Office: Allen Center 648
Office hours: Wednesdays 11:00-11:50am TA: Daseul Lee (dslee at cs)
Office: Allen Center 220
Office hours: Mondays 1:30-2:20pm

Schedule

Week	Dates	Topics & Lecture Notes	Readings
1	March 31	Introduction, Uninformed Search	Chapters 1 & 3
2	April 7	Informed Search (1 and 2)	Chapters 4
3	April 14	Constraint Satisfaction, Game Playing	Chapters 5 & 6
4	April 21	Propositional Logic (1 and 2), First-order Logic	Chapters 7 & 8
5	April 28	Inference in First-Order Logic, Uncertainty	Chapters 9 & 13
6	May 5	Bayesian Networks (1 and 2 )	Chapter 14
7	May 12	Inference in Bayesian Networks (1 and 2 )	Chapter 14
8	May 19	Markov Networks, Markov Logic, Decision Theory	Chapter 16, paper
9	May 26	Decision Tree Induction, Rule Induction	Ch. 18 & 19
10	June 2	Statistical Learning (1 , 2 and 3 )	Ch. 20

Textbooks

Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall, Third Edition (2010) (required).

Assignments

There will be four assignments, each worth 25% of the final grade. Turn in the assignments via Catalyst Dropbox.

Assignment 1: Problem-Solving (Released: April 9; Due: April 25)
Assignment 2: Knowledge and Reasoning - code (Released: April 23; Due: May 7)
Assignment 3: Uncertainty (Released: May 7; Due: May 21)
Assignment 4: Learning and Decision Theory - code/data (Released: May 21; Due: ~~June 4~~ June 6)

Course Administration and Policies

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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.
Discuss course material on the forum.
Assignments may be handed in up to a week late, at a penalty of 10% of the grade per day.
Comments can be sent to the instructor or TA using this anonymous feedback form

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