Schedule
Week Date Lectures Homework Projects
Week 1
Aug 24 2022		 Introduction [Introduction] HW0 PJ0
Week 2
Aug 31 2022		 Search [Search] [Informed Search] HW1 PJ1
Week 3
Sep 7 2022		 Constraint Satisfaction Problems [CSP I] [CSP II] HW2
Week 4
Sep 14 2022		 Adversarial Search [Adversarial Search] [Uncertainty and Utilities] HW3 PJ2
Week 5
Sep 21 2022		 Markov Decision Processes [MDP I] [MDP II] HW4
Week 6
Sep 28 2022		 Reinforcement Learning [RL I] [RL II] HW5 PJ3
Week 7
Oct 5 2022		 Probability and Bayes Nets: Representation [Probability] [Bayes Nets]
Week 8
Oct 12 2022		 Bayesian Networks: Independence and Inference [BN Independence] [BN Inference] HW6
Week 9
Oct 19 2022		 Bayesian Networks: Sampling, Decision Networks and VPI [BN Sampling] [DN&VPI] HW7 PJ4
Week 10
Oct 26 2022		 Hidden Markov Models [HMM I] HW8
Week 11
Nov 2 2022		 Particle filtering and Machine Learning: Naive Bayes [HMM II] [Naive Bayes] PJ5
Week 12
Nov 9 2022		 Machine Learning: Perceptrons and Logistic Regression, Kernels and Clustering [Perceptrons] [Kernels and Clustering] HW9
Week 13
Nov 16 2022		 Machine Learning: Neural Networks [Neural Networks I] [Neural Networks 2] HW10 PJ6
Week 14
Nov 23 2022		 Thanks Giving No Classes
Week 15
Nov 30 2022		 Advanced Applications: Games & Robotics and Conclusions [Games & Robotics] [Conclusion]
Week 16
Dec 7-14 2022		 Exams