CSE 473: Introduction to Artificial Intelligence

Autumn 2007


Lecture Notes


Date Notes in PPT Notes in PDF Additional Notes
Sept 26
Introduction
Introduction
Read Chapter 1
Sept 28
Search
Search
Read Chapter 3
October 1
Informed Search
Informed Search
Read Chapter 4
October 3
Informed Search 2
Informed Search 2
A nice demonstration of searching can be found at http://www.cs.rochester.edu/u/kautz/Mazes/search/applet.html; a maze is navigated using a chosen search strategy
October 5
Continue Informed Search 2
Continue Informed Search 2
IDA Algorithm
October 8
Constraint Satisfaction Problems
Constraint Satisfaction Problems
Read Chapter 5
October 10
Continue Constraint Satisfaction


October 12
Continue Constraint Satisfaction


October 15

Logic
No book reading required.
October 24
Games
Games
Read Chapter 6
October 31
Decision Trees
Decision Trees
Read Chapter 18, Sections 1-3
November 2


Gain Example
November 5
Ensembles
Ensembles
Read Chapter 18, Section 18.4; Adaboost Example
November 7
Dieter Fox Lecture on Robotics


November 9
Emily Bender Lecture on Natural Language Processing

Lecture Notes
November 14
Neural Nets; Clustering
Neural Nets; Clustering
Read Chapter 20, Section 5; Marked-up Slides
November 16

Uncertainty 1; Uncertainty 2
Slides we will cover. Uncertainty 1: 1, 11-12, 16, 18-27. Uncertainty 2: 1, 3-7, 9-12, 19-20
November 19

Uncertainty 3
Slides we will cover: Uncertainty 3: 1, 3-4, 6-7, 12-21, 23-24, 34-36
November 26th
Vision Intro
Vision Intro

December 2
EM classifier
EM classifier