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Lectures:

    Everything (Updated 4/21)

    1. Introduction

    2. Combinatorics

    3. Set Theory

    4. Probability

    5. Discrete Random Variables

    6. Information Theory

    7. (Ch 10) Markov Chains (fixed typo, 4/20)

    8. Decision-Making: Classification and Estimation (completed, but may be updated)    

        (Note: this section also includes a crash course on continuous random variables)

Dr. Dawson