Assignments
Date  Topic 

Week 1 Jan 18, 20 
Introduction, AI EthicsReading: due Monday 1/17, 3:00 pm

Week 2 Jan 25, 27 
SearchReading: due Monday 1/24, 3:00 pm

Week 3 Feb 1, 8 
Constraint Satisfaction Problems and Local SearchReading: due Monday 1/31, 3:00 pm

Week 4 Feb 10, 15 
Adversarial Search, UtilitiesReading: due Monday 2/7, 3:00 pm

Week 5 Feb 17 
Markov Decision ProcessesReading: due Wednesday 2/16, 3:00 pm

Week 6 Feb 22, 24 
Reinforcement LearningReading: due Tuesday 2/22, 3:00 pm

Week 7 March 1, 3 
Probability and Bayes Nets: RepresentationReading: due Monday 2/28, 3:00 pm

Week 8 March 8, 10 
Bayes Nets: Independence, MidtermMidsemester survey (optional): due Friday 3/25, 11:59 pm 
Week 9 March 22, 24 
Bayes Nets: Inference and SamplingProgramming: due Wednesday 4/6, 11:59 pm

Week 10 March 29, 31 
(Hidden) Markov Models, Particle FiltersReading: due Monday 3/28, 3:00 pm

Week 11 April 5, 7 
Decision Networks and Naive BayesReading: due Monday 4/4, 3:00 pm

Week 12 April 12, 14 
Perceptrons, Kernels, ClusteringReading: Due Monday 4/11, 3:00 pm

Week 13 April 19, 21 
Deep LearningReading: due Monday 4/18, 3:00 pm

Week 14 April 26, 28 
Advanced Topics: RoboticsNo reading for this week 
Week 15 May 3, 5 
AI Applications and ConclusionReading: due Monday 5/2, 3:00 pm

Final Exam May 13, 25 pm 
Final ExamLocation: CAL 100 