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 5.0-5.2R&N slides on Game Playing Introduction on PiazzaStart-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 paperR&N slides on Uninformed Search and Informed Search 4 Sep 11 3. Simulated Annealing and Local Search; Chapter 4R&N slides on Beyond Search 1: AI Isolation Player due2: Tri-directional search released Sep 17 (due to Irma)Sep 24 5 Sep 18 4. Constraint Satisfaction; Chapter 6R&N slides on Constraint Satisfaction Problems 2: Tri-directional search due Sep 24 6 Sep 25 5. Probability; Chapter 13R&N slides on Probability 3: Bayes Nets and Sampling released Oct 10 (End of Fall Break) 7 Oct 2 6. Bayes Nets; Chapter 14R&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, 20.1-20.2R&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 ExamTopics List7. ML  to end; Chapter 18.6-18.11; overflow from previous weeks Midterm ExamMid-Course Survey Oct 16 – 22 10 Oct 23 7. ML to end; Chapter 18.6-18.11; Mitchell reading on EM; Chapter 20.3R&N slides on Neural Nets.  Tutorial slides on boosting; Boosting paperOct 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 15R&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 22R&N slides for Speech and Grammar 5: Expectation Maximization due Nov 12 13 Nov 13 9. Logic & Planning; Chapter 7-10R&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 21R&N slides  Chapter 17 6: HMMs due Dec 3 16 Dec 4 Final ExamTopics List Final ExamEnd 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.