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18.443 Exam 1 Spring 2015 3/5/2015
18.440: Lecture 9 Expectations of discrete random variables Scott Sheffield MIT
18.440: Lecture 8 Discrete random variables Scott Sheffield MIT
18.440: Lecture 7 Bayes’ formula and independence Scott Sheffield MIT
18.440: Lecture 6 Conditional probability Scott Sheffield MIT
18.440: Lecture 5 Problems with all outcomes equally like, Scott Sheffield
18.440: Lecture 39 Review: practice problems Scott Sheffield MIT
18.440: Lecture 39 Review: practice problems Scott Sheffield MIT
18.440: Lecture 38 Review: practice problems Scott Sheffield MIT
18.440: Lecture 38 Review: practice problems Scott Sheffield MIT
18.440: Lecture 35 Martingales and the optional stopping theorem Scott Sheffield
18.440: Lecture 34 Entropy Scott Sheffield MIT
18.440: Lecture 30 Weak law of large numbers Scott Sheffield MIT
18.440: Lecture 28 Lectures 17-27 Review Scott Sheffield MIT
18.440: Lecture 28 Lectures 17-27 Review Scott Sheffield MIT
18.440: Lecture 26 Conditional expectation Scott Sheffield MIT
18.440: Lecture 25 Covariance and some conditional expectation exercises Scott Sheffield
18.440: Lecture 24 Conditional probability, order statistics, expectations of sums Scott Sheffield
18.440: Lecture 21 More continuous random variables Scott Sheffield MIT
18.440: Lecture 19 Normal random variables Scott Sheffield MIT
18.440: Lecture 18 Uniform random variables Scott Sheffield MIT
18.440: Lecture 16 Lectures 1-15 Review Scott Sheffield MIT
18.440: Lecture 14 More discrete random variables Scott Sheffield MIT
18.440: Lecture 13 Poisson processes Scott Sheffield MIT
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