Preliminary Calendar for Artificial Intelligence (Fall 2017)

Last Revised: 08/21/17

Please check here frequently for updates! The chapters mentioned here 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

Assignment/Exam

Due Date**

1

Aug 21

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 27

2

Aug 28

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

1: AI Isolation Player released

Sep 17 (due to Irma)

3

Sep 5

2. Search;  Chapter 3; Korf paper

R&N slides on Uninformed Search and Informed Search 

4

Sep 11

3. Simulated Annealing and Local Search; Chapter 4

R&N slides on Beyond Search

1: AI Isolation Player due

2: Tri-directional search released

Sep 17 (due to Irma)

Sep 24

5

Sep 18

4. Constraint Satisfaction; Chapter 6

R&N slides on Constraint Satisfaction Problems

2: Tri-directional search due

Sep 24

6

Sep 25

5. Probability; Chapter 13

R&N slides on Probability

3: Bayes Nets and Sampling released

Oct 10 (End of Fall Break)

7

Oct 2

6. Bayes Nets; Chapter 14

R&N slides on Bayes Nets and Bayes Nets Inference

3: Bayes Nets and Sampling due

Oct 10 (End of Fall Break)

8

Oct 11

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 & Forests released

Oct 29

9

Oct 16

Midterm Exam

Topics List

7. ML  to end; Chapter 18.6-18.11; overflow from previous weeks

Midterm Exam

Mid-Course Survey

Oct 16 – 22

10

Oct 23

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 28 is the withdrawal deadline!

4: Decision Trees & Forests due

Oct 29

11

Oct 30

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 12

12

Nov 6

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 12

13

Nov 13

9. Logic & Planning; Chapter 7-10

R&N slides   Chapter 7, Chapter 8, Chapter 9, Chapter 11, Chapter 12

6: HMMs released

Dec 3

14

Nov 20

Thanksgiving

15

Nov 27

10. Planning under Uncertainty; Chapter 17, Chapter 21

R&N slides  Chapter 17

6: HMMs due

Dec 3

16

Dec 4

Final Exam

Topics List

Final Exam

End of Course Survey & CIOS!

Dec 4 – 10

** - 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. To see due dates in terms of your local time, change your timezone in T-Square.