GC CSC47011 Artificial Intelligence

 

Lectures:

 

Date

Topics

Materials

Assignments

8/31

Overview

 

 

 

9/7

Intelligent Agent

Ch. 1, 2

 

Intro to search

Ch. 3.1-ch3.4

 

9/14

Heuristic search

Ch. 3.5-3.6

Assignment 1

 

 

 

9/19

Constraint satisfaction problem

Ch. 6

 

Adversarial search

Ch. 5

 

9/21

No class

 

 

9/28

Uncertainty

Ch. 13

Assignment 1 due

Bayesian networks

Ch. 14.1-14.3

 

10/5

Variable elimination

Ch. 14.4

 

 

 

 

10/12

Parameter learning

Ch. 20.1-2

 

Learning from missing data

Ch. 20.3

 

10/19

Exam 1

 

 

 

 

 

10/26

Decision tree

Ch.18.1-3

Assignment 2 (data)

 

 

 

11/2

Na´ve classifier

Ch. 20.2

 

Linear regression

Ch. 18.6

 

Neural networks

Ch. 18.7

 

11/9

Support Vector Machine

Ch. 18.9

 

K-means

Ch. 18.8

 

11/16

Language models

Ch. 22.1

 

Text categorization

Ch. 22.2

 

11/23

Thanksgiving

 

 

 

 

 

11/30

Exam 2

 

 

 

 

 

12/8

Final presentations