Archived Versions

18.440 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.)

Level:

Undergraduate

Instructors:

Prof. Richard Dudley

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.