18.440 Probability and Random Variables, Fall 2005
Example of a simple combinatorial problem. (Image by MIT OCW.)
Highlights of this Course
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.