Preliminary Calendar for Artificial Intelligence (Fall 2018)

Last Revised: 01/09/18

Please check this page frequently for updates!  Chapters refer to the textbook Artificial Intelligence: A Modern Approach (3rd edition) by Russell and Norvig (R&N).  See Further Information for optional readings and videos for each section.

Week #

Week Of

Lessons/Study Material

Assignment/Exam

Due Date**

1

Aug 20

1. Game Playing through Depth-limited Search; review/learn Python; play each other in Isolation; Chapter 1-2; Chapter 5.0-5.2

R&N slides on Game Playing 

Introduction on Piazza

Start-of-Course Survey

Aug 26

2

Aug 27

1. Game Playing through end; Chapter 5.3-5.9, Korf: 3 player alpha-beta

1: AI Isolation Player released

Sept 9

3

Sept 3

2. Search;  Chapter 3; Korf paper

R&N slides on Uninformed Search and Informed Search 

1: AI Isolation Player due

Sept 9

4

Sept 10

3. Simulated Annealing and Local Search; Chapter 4

R&N slides on Beyond Search

2: Tri-directional search released

Sept 23

5

Sept 17

4. Constraint Satisfaction; Chapter 6

R&N slides on Constraint Satisfaction Problems

2: Tri-directional search due

Sept 23

6

Sept 24

5. Probability; Chapter 13

R&N slides on Probability

3: Bayes Nets Sampling released

Oct 7

7

Oct 1

6. Bayes Nets; Chapter 14

R&N slides on Bayes Nets and Bayes Nets Inference

3: Bayes Nets Sampling due

Oct 7

8

Oct 8

7. ML through Random Forests; Chapter 18.1-5,18.8, 20.1-20.2

R&N slides on Learning from Observation: Decision Trees (18.1-18.3); R&N slides Statistical Learning (20.1-20.2)

On-campus slides on Decision Trees and the accompanying alternative explanation.  For those interested in a practical use of Decision Trees that may be on your Android phone by now, see Clawson’s PhD dissertation.

4: Decision Trees and Forests released

Oct 28

9

Oct 15

Midterm Exam

Topics List

Midterm Exam

Mid-Course Survey

Oct 15 - 21

10

Oct 22

7. ML to end; Chapter 18.6-18.11; Mitchell reading on EM; Chapter 20.3

R&N slides on Neural Nets.  Tutorial slides on boosting; Boosting paper

Oct 27 is the withdrawal deadline!

4: Decision Trees and Forests due

Oct 28

11

Oct 29

8. Pattern Recognition through Time through New Observation Sequence for “We”; Chapter 15

R&N slides for Temporal probability models: HMMs and Kalman filters

5: Expectation Maximization released

Nov 11

12

Nov 5

8. Pattern Recognition through Time to end; Chapter 1 “The Fundamentals of HTK”; Chapter 22

R&N slides for Speech and Grammar

5: Expectation Maximization due

Nov 11

13

Nov 12

9. Logic & Planning; Chapter 7-10

R&N slides   Chapter 7, Chapter 8, Chapter 9, Chapter 11, Chapter 13

6: HMMs released

Dec 2

14

Nov 19

Thanksgiving

9. Logic & Planning; 10. Planning under Uncertainty; Overflow from previous weeks

15

Nov 26

10. Planning under Uncertainty; Chapter 17, Chapter 21

R&N slides  Chapter 17

6: HMMs due

Dec 2

16

Dec 3

Final Exam Week

Topics List

Final Exam Starts

End of Course Survey & CIOS!

Dec 3 - 9

** - All assignments are due at midnight UTC-12 on the date specified (that is, at the end of the day on Sunday). UTC-12 is “anywhere on earth”, meaning that if it is still before midnight anywhere on earth, the assignment will still be accepted. Generally, this translates to sometime Monday morning in the Western hemisphere and Monday afternoon or evening in the Eastern hemisphere.

** - Topic lists for the exams are also subject to change if need be. Will be final one week before the exam.