CSCI 363/780 Artificial Intelligence

 

Lectures:

 

Date

Topics

Materials

Assignments

8/28

Overview (annotated)

Ch. 1

 

8/30

Canceled

 

 

9/4

Labor day

 

 

9/6

Intelligent agent (annotated)

Intro to search (annotated)

Ch. 1,2, 3.1-3.4

 

9/11

Intro to search (annotated)

Ch 3.1-3.4

 

9/13

Heuristic search (annotated)

Ch 3.5-3.6

 

9/18

Heuristic search (annotated)

Ch 3.5-3.6

Assignment 1

9/20

No classes

 

 

9/25

CSP (annotated)

Ch 6

 

9/27

Adversarial search (annotated)

Ch 5

 

10/2

Uncertainty (annotated)

Ch 13

Assignment 1 due

10/4

Uncertainty (annotated)

Ch 13

 

10/9

Columbus day

 

 

10/11

Bayesian networks (annotated)

Ch. 14.1-14.3

 

10/16

Variable elimination (annotated)

Ch. 14.4

 

10/18

Learning parameters (annotated)

Ch. 20.1-2

 

10/23

Learning parameters (annotated)

Ch. 20.1-2

 

10/25

EM (annotated)

Ch. 20.3

 

10/30

Exam 1 preview

 

 

11/1

Exam 1

 

 

11/6

Decision tree (annotated)

Ch. 18.1-3

Assignment 2 (data)

11/8

Exam 1 review

 

 

11/13

Naive Bayes (annotated)

Ch. 20.2

 

11/15

Linear regression (annotated)

Ch. 18.6

 

11/20

Neural network (annotated)

Ch. 18.7

Assignment 2 due!

11/22

Support vector machine (annotated)

Ch. 18.9

 

11/27

 

 

 

11/29

 

 

 

12/4

 

 

 

12/6

Exam 2

 

 

12/11

Exam 2 review

 

 

Final

Presentations