CSE 473 - Introduction to Artificial Intelligence - Autumn 2002
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 Instructor: Pedro Domingos Office: Sieg 216 Office hours: Fridays from 1:30 to 2:30 TA: Will Portnoy Office: Sieg 226 Office hours: Tuesdays from 2:30 to 3:20

Class meets:
MWF 10:30-11:20 EE1 042

## Lectures

Week Dates Topics & Lecture Notes Readings
1 September 30 - October 4 Introduction (PDF), uninformed search (PDF)
Chapters 1 & 3 of Russell & Norvig
2 October 7-11 Informed search (PDF), game playing (PDF) Chapters 4 & 5 of Russell & Norvig
3 October 14-18 Constraint satisfaction (PDF), logic 1 (PDF), logic 2 (PDF) Chapters 4, 6 & 7 of Russell & Norvig
4 October 21-25 Logic 3 (PDF), logic 4 (PDF), uncertainty (PDF), belief networks 1 (PDF) Chapters 9, 14 & 15 of Russell & Norvig; review probability
5 October 28 - November 1 Belief networks 2 (PDF), uncertain inference (PDF) Chapter 15 of Russell & Norvig
6 November 4-8 Decision theory (PDF), review, midterm Chapter 16 of Russell & Norvig
7 November 11-15 Intro to learning, Bayesian learning (PDF) Chapters 1 & 6 of Mitchell
8 November 18-22 Bayesian learning (contd.), decision trees Chapters 6 & 3 of Mitchell
9 November 25-29 Model ensembles (PDF), instance-based learning (PDF) Section 2 of Dietterich and Chapter 8 of Mitchell
10 December 2-6 Instance-based learning (contd.), genetic algorithms (PDF), neural networks (PDF) Chapters 8, 9 and 4 of Mitchell; review calculus
11 December 9-11 Neural networks (contd.), review Chapter 4 of Mitchell

## Assignments

There will be two projects, four homeworks, a midterm, and a final exam. You are expected to work individually on the homeworks, and in groups of two on the projects. Late turn-in policy: you lose 10% of the maximum grade for each day you're late, up to a limit of one week.

 Assignment % of Grade Handed out Due Topic Homework 1 5% October 9 October 16 Search Project 1 20% October 11 November 1 Game playing Homework 2 5% October 23 October 30 Constraints and logic Midterm 20% November 8 In class Weeks 1-6 Project 2 20% November 15 December 9 Text classification Homework 3 5% November 20 November 27 Machine learning Homework 4 5% December 4 December 11 Machine learning Final 20% December 13 8:30-10:20 Weeks 7-11