These section notes were co-developed and co-taught by Brian Plancher and Irina Tolkova.

In this repository you will find the section notes for Harvard's 2018 offering of Introduction to Artificial Intelligence (CS 182). This course was taught by Goran Radanović and Haifeng Xu. This course and these notes were based off of the version taught the previous year by Scott Kuindersma and by UC Berkeley's CS188x Intro to Aritificial Intelligence Materials.

1. Python and Math Background
2. (Un)informed Search
3. Games and Constraint Satisfaction Problems
4. Constraint Satisfaction Problems and Local Search
5. Markov Decision Processes
6. Reinforcement Learning
7. Midterm 1 Review
8. Robot Motion Planning
9. Hidden Markov Models
10. Bayesian Networks
11. Classification, Regression, and Clustering
12. Midterm 2 Review

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