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 5.0-5.2R&N slides on Game Playing Introduction on PiazzaStart-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 paperR&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 4R&N slides on Beyond Search 2: Tri-directional search released Sept 23 5 Sept 17 4. Constraint Satisfaction; Chapter 6R&N slides on Constraint Satisfaction Problems 2: Tri-directional search due Sept 23 6 Sept 24 5. Probability; Chapter 13R&N slides on Probability 3: Bayes Nets Sampling released Oct 7 7 Oct 1 6. Bayes Nets; Chapter 14R&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, 20.1-20.2R&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 and Forests released Oct 28 9 Oct 15 Midterm ExamTopics List Midterm ExamMid-Course Survey Oct 15 - 21 10 Oct 22 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 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 15R&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 22R&N slides for Speech and Grammar 5: Expectation Maximization due Nov 11 13 Nov 12 9. Logic & Planning; Chapter 7-10R&N slides   Chapter 7, Chapter 8, Chapter 9, Chapter 11, Chapter 13 6: HMMs released Dec 2 14 Nov 19 Thanksgiving9. Logic & Planning; 10. Planning under Uncertainty; Overflow from previous weeks 15 Nov 26 10. Planning under Uncertainty; Chapter 17, Chapter 21R&N slides  Chapter 17 6: HMMs due Dec 2 16 Dec 3 Final Exam WeekTopics List Final Exam StartsEnd 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.