Lecture Video

Date

Chapters,
2nd Edition

Chapters,
3rd Edition

Topic

1

Thu 08/27

1, 3

1, 3.1-3.4

Course Details^[1] and Overview^[1], Solving Problems by Search^[2]

2

Tue 09/01

4

3.5-3.6

Informed Search^[3], Implementation Notes^[3]

3

Thu 09/03

2

2

Agents^[2], Game Playing^[2]

4

Tue 09/08

6

5

Game Playing (contd.)^[2], Alpha - Beta Pruning^[3]

5

Thu 09/10

7

7

Non-Deterministic Games, Knowledge and Logic Reasoning^[2]

6

Tue 09/15

7

7

Inference by Enumeration

7

Thu 09/17

7

7

Inference (contd.). Exam 1 Practice Questions

8

Tue 09/22

7

7

Exam preparation and review

9

Thu 09/24

First Exam

10

Tue 09/29

7

7

Exam Recap, First Order Logic^[3]

11

Thu 10/01

8

8

First Order Logic (Contd.), Planning^[3]

12

Tue 10/06

9

9

Planning^[2]

13

Thu 10/8

11

10

Planning^[3] (Contd.)

14

Tue 10/13

11

10

Conditional Planning and Replanning^[3], Conditional Planning and Replanning^[2]

15

Thu 10/15

12

11

Probability^[2], Joint Probability Distributions

16

Tue 10/20

13, 14.1 -14.4

13, 14.1 -14.4

Prior and Posterior probablities^[3], Bayesian Networks^[2]

17

Thu 10/22

14.1 -14.4, 18.1-18.3

14.1 -14.4, 18.1-18.3

Bayesian Networks^[3] , Learning ^[3]

18

Tue 10/27

-NA-

-NA-

Exam preperation, Exam 2 Practice Questions (Answers), Learning ^[3]

19

Thu 10/29

Second Exam

20

Tue 11/03

18.1-18.3

18.1-18.3

Exam recap, Learning Methods^[2]

21

Thu 11/05

18.1-18.3

18.1-18.3

22

Tue 11/10

18.1-18.3

18.1-18.3

Decision Trees^[3] (contd.)

23

Thu 11/12

20.3

24

Tue 11/17

20.3, 18.8.1

25

Thu 11/19

18.8.1

Nearest Neighbor Classifiers, Neural Networks^[2] (Addlitional Slides 1^[1][4], Additional Slides 2^[4])

26

Tue 11/24

18.7

27

Tue 12/01

 -NA-

 -NA-

Overview of Material for Exam 3

28

Thu 12/03

Third Exam

29

Tue 12/08

 -NA-

-NA- 

Exam recap, Final Q&A