My notes for when I took this course in Summer 2025, taught by Oliver Grillmeyer.

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Please submit any errors you might find in the errata, thank you!

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Phoenix Wilson

Course by Week

Week Topics
1 General Search Problems
2 Constraint Satisfaction Problems
Local Search, Game Trees
3 Markov Decision Processes
Reinforcement Learning
Probability Recap
4 Conditional Probability Recap
Bayes Nets
5 Decision Networks
6 Hidden Markov Models
Naive Bayes
Perceptrons, Logistic Regression, Neural Networks
7 Decision Trees
Language Models

General Search Problems

Constraint Satisfaction Problems

Local Search, Game Trees

Markov Decision Processes

Reinforcement Learning

Probability Recap

Conditional Probability Recap

Bayes Nets

Decision Networks

Hidden Markov Models

Naive Bayes

Perceptrons, Logistic Regression, Neural Networks

Decision Trees