Schedule
| Week Date | Lectures | Homework | Projects |
|---|---|---|---|
| Week 1 Jan 16 2024 |
Introduction [Introduction] | HW0 | PJ0 |
| Week 2 Jan 23 2024 |
Search [Search I] [Search II] | HW1 | PJ1 |
| Week 3 Jan 30 2024 |
Constraint Satisfaction Problems [CSP I] [CSP II] | HW2 | |
| Week 4 Feb 6 2024 |
Adversarial Search [Adversarial Search I] [Uncertainty and Utilities] | HW3 | PJ2 |
| Week 5 Feb 13 2024 |
Markov Decision Processes [MDP I] [MDP II] | HW4 | |
| Week 6 Feb 20 2024 |
Reinforcement Learning [RL I] [RL II] [Recording 1] [Recording 2] | HW5 | PJ3 |
| Week 7 Feb 27 2024 |
Probability and Bayes Nets: Representation [Probability] [Bayes Nets] | ||
| Week 8 Mar 5 2024 |
Spring Recess No Classes | ||
| Week 9 Mar 12 2024 |
Bayesian Networks: Independence and Inference [BN Independence] [BN Inference] | HW6 | |
| Week 10 Mar 19 2024 |
Bayesian Networks: Sampling, Decision Networks and VPI [BN Sampling] [DN&VPI] | HW7 | PJ4 |
| Week 11 Mar 26 2024 |
Hidden Markov Models and Particle filtering [HMM I] [HMM II] | HW8 | |
| Week 12 Apr 2 2024 |
Machine Learning: Naive Bayes [Naive Bayes I] [Naive Bayes II] | PJ5 | |
| Week 13 Apr 9 2024 |
Machine Learning: Perceptrons and Logistic Regression, Kernels and Clustering [Perceptrons] [Kernels and Clustering] | HW9 | |
| Week 14 Apr 16 2024 |
Machine Learning: Neural Networks [Neural Networks I] [Neural Networks II] | HW10 | PJ6 |
| Week 15 Apr 23 2024 |
Advanced Applications: Games & Robotics and Conclusions [Games & Robotics] [Conclusion] | ||
| Week 16 Apr 30 2024 |
Reading Day and Examination Period |