Assignments
Date  Topic 

Week 1 Jan 19, 21 
Introduction, AI EthicsReading: due Sunday 1/17, 9:30 am

Week 2 Jan 26, 28 
SearchReading: due Monday 1/25, 9:30am

Week 3 Feb 2, 4 
Constraint Satisfaction Problems and Local SearchReading: due Monday 2/1, 9:30 am

Week 4 Feb 9, 11 
Adversarial Search, UtilitiesReading: due Monday 2/8, 9:30 am

Week 5 Feb 23, 25 
Markov Decision ProcessesReading: due Wednesday 2/24, 9:30 am

Week 6 March 2, 4 
Reinforcement LearningReading: due Monday 3/1, 9:30 am

Week 7 March 9, 11 
Bayes Nets: Representation and InferenceReading: due Monday 3/8, 9:30 am

Week 8 March 23, 25 
MidtermMidsemester survey: due Thursday 4/1, 12:00 pm 
Week 9 March 30, April 1 
(Hidden) Markov Models, Particle Filters, and VPIReading: due Monday 3/29, 9:30 am

Week 10 April 6, 8 
Naive Bayes and PerceptronsReading: due Monday 4/5, 9:30 am

Week 11 April 13, 15 
Deep LearningReading: due Monday 4/12, 9:30 am

Week 12 April 20, 22 
SVMs, Kernels, and ClusteringReading: Due Monday 4/19, 9:30 am

Week 13 April 27, 29 
Classical PlanningReading: due Monday 4/26, 9:30 am

Week 14 May 4, 6 
Philosophical FoundationsReading: due Monday 5/3, 9:30 am

Final Exam Wed May 12, 25pm 