Nathan Sturtevant, University of Denver

Course documents

Assigments

Course Schedule, Readings, and Lecture Notes

Class Date Topic Reading Homework

1 September 12 Introduction Ch 1-2 Ch 1: 1.11, 1.12, 1.13

2 September 14 Search Strategies Ch 3 Ch 3: 3.14

3 September 19 Local Search & Variations Ch 4 Ch 4: 4.3 [no implementation required]

4 September 21 Adversarial Search / Game Playing Ch 5 5.18 or 5.21

5 September 26 Constraint Satisfaction Problems Ch 6 6.9

6 September 28 Propositional Logic Ch 7 7.2

7 October 3 First-Order Logic Ch 8 See slides

8 October 5 First-Order Logic Ch 9 8.24

9 October 10 Logical Inference Ch 9 9.10

10 October 12 Midterm -

11 October 17 Classical (Generalized) Planning Ch 10

12 October 19 Probability Ch 13 See Notes

13 October 24 Probabilistic Reasoning Ch 14 14.4

14 October 26 Probabilistic Inference Ch 14 14.12a,b

- October 31 -

15 November 2 Supervised Learning Ch 18

16 November 7 Supervised Learning Ch 18

17 November 9 Reinforcement Learning Ch 21

18 November 14 Robotics Ch 25 25.8(a)

19 November 16 Wrap Up

Class	Date	Topic	Reading	Homework
1	September 12	Introduction	Ch 1-2	Ch 1: 1.11, 1.12, 1.13
2	September 14	Search Strategies	Ch 3	Ch 3: 3.14
3	September 19	Local Search & Variations	Ch 4	Ch 4: 4.3 [no implementation required]
4	September 21	Adversarial Search / Game Playing	Ch 5	5.18 or 5.21
5	September 26	Constraint Satisfaction Problems	Ch 6	6.9
6	September 28	Propositional Logic	Ch 7	7.2
7	October 3	First-Order Logic	Ch 8	See slides
8	October 5	First-Order Logic	Ch 9	8.24
9	October 10	Logical Inference	Ch 9	9.10
10	October 12	Midterm	-
11	October 17	Classical (Generalized) Planning	Ch 10
12	October 19	Probability	Ch 13	See Notes
13	October 24	Probabilistic Reasoning	Ch 14	14.4
14	October 26	Probabilistic Inference	Ch 14	14.12a,b
-	October 31		-
15	November 2	Supervised Learning	Ch 18
16	November 7	Supervised Learning	Ch 18
17	November 9	Reinforcement Learning	Ch 21
18	November 14	Robotics	Ch 25	25.8(a)
19	November 16	Wrap Up