Lecture

Date

Topic

Reading

1

Thu Jan 10

Course Intro

2

Tue Jan 15

Intro. to Artificial Intelligence

Ch. 1

3

Thu Jan 17

Uninformed Search

Sec. 3.1-3.5

4

Tue Jan 22

5

Thu Jan 24

Informed Search

Sec. 4.1-4.3

6

Tue Jan 29

7

Thu Jan 31

Search in Games

Sec. 6.1-6.4, 6.6

Tue Feb 5

Partial Exam 1

Covers lectures 2-6

8

Thu Feb 7

Search in Games (cont)

9

Tue Feb 12

Vision: Line Labeling

Sec. 24.4: Contours

First section of Chapter 12
of Patrick Winston's AI Book (3rd ed.)

10

Thu Feb 14

Constraint Satisfaction

Sec. 5.1-5.3

Tue Feb 19

No Class: Monday Classes Meet

Thu Feb 21

Project Proposal Due

11

Thu Feb 21

Constraint Satisfaction (cont.)

12

Tue Feb 26

Intro. to Machine Learning

Sec. 18.1-18.2

Thu Feb 28

Partial Exam 2

Covers lectures 7-11

13

Tue Mar 4

Nearest Neighbors

Sec. 20.4

14

Thu Mar 6

Decision Trees

Sec. 18.3

15

Tue Mar 11

Neural Networks

Sec. 20.5

16

Thu Mar 13

Thu Mar 13

Project Progress Report 1 Due

Tue Mar 18

No Class: Spring Break

Thu Mar 20

17

Tue Mar 25

Support Vector Machines

Sec. 20.6

Thu Mar 27

Partial Exam 3

Covers lectures 12-16

18

Tue Apr 1

Support Vector Machines (cont.)

19

Thu Apr 3

Boosting

Sec. 18.4

20

Tue Apr 8

Thu Apr 8

Project Progress Report 2 Due

21

Thu Apr 10

Predicate Logic

Sec. 7.1-7.6

Tue Apr 15

Partial Exam 4

Covers lectures 17-20

22

Thu Apr 17

First-order Logic

Ch. 8

23

Tue Apr 22

Inference

Ch. 9

Thu Apr 24

No Class: Monday Classes Meet

Project Progress Report 3 Due

Tue Apr 29

Project Oral Presentations

Thu May 1

24

Tue May 6

Natural Language Processing

Sec. 22.1-22.3

Tue May 9

Project Final Report Due

TBD

Final Exam

Comprehensive