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    Probability and Random Variables

    As taught in: Spring 2009

    Graphic of seating arrangement for 10 people.

    Example of a simple combinatorial problem. (Image by MIT OpenCourseWare.)

    Instructors:

    Prof. Richard Dudley

    MIT Course Number:

    18.440

    Level:

    Undergraduate

    Course Features

    Course Description

    This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.