Lecture Video

Date

Chapters,
2nd Edition

Chapters,
3rd Edition

Topic

1

Thu 08/23

1, 3

1, 3.1-3.4

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

2

Tue 08/28

4

3.5-3.6

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

3

Thu 08/30

2

2

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

4

Tue 09/04

6

5

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

5

Thu 09/06

7

7

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

6

Tue 09/11

7

7

Inference by Enumeration

7

Thu 09/13

7

7

Inference (contd.). Midterm 1 Practice Questions

8

Tue 09/18

7

7

Midterm preparation and review

9

Thu 09/20

First Midterm

10

Tue 09/25

7

7

Midterm recap.

11

Thu 09/27

8

8

Intro to First Order Logic^[2]

12

Tue 10/02

9

9

Inference in First Order Logic^[2]

13

Thu 10/04

11

10

Planning^[2]

14

Tue 10/09

11

10

Planning, continued

15

Thu 10/11

12

11

Conditional Planning and Replanning^[2]

16

Tue 10/16

13

13

Probability^[2]

17

Thu 10/18

13

13

Joint Probability Distributions, Bayesian Networks^[2]

18

Tue 10/23

14.1-14.4

14.1-14.4

Exact Inference in Bayesian networks^[2]

19

Thu 10/25

-NA-

-NA-

Midterm preperation, Midterm 2 Practice Questions (Answers)

20

Tue 10/30

Second Midterm

21

Thu 11/01

18.1-18.3

18.1-18.3

Midterm recap, Learning Methods^[2], Decision Trees^[3]

22

Tue 11/06

18.1-18.3

18.1-18.3

Decision Trees, continued

23

Thu 11/08

20.1

20.1

MAP estimation, ML estimation^[2] (Additional Notes^[3])

24

Tue 11/13

20.5

18.7

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

25

Thu 11/15

21, 25

Reinforcement Learning, Robotics^[2]

26

Tue 11/20

25

Robotics, Midterm 3 Practice Questions

27

Tue 11/27

Overview of Material for Midterm 3

28

Thu 11/29

Overview of Material for Midterm 3 (Continued.)

29

Tue 12/04

Third Midterm

30

Thu 12/06

-Finals Week (NO CLASS)-