18.440 Probability and Random Variables

Fall 2005

Example of a simple combinatorial problem.

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

Course Highlights

This course features readings and assignments.

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.
Donate Now

Staff

Instructor:
Prof. Richard Dudley

Course Meeting Times

Lectures:
Three sessions / week
1 hour / session

Level

Undergraduate