Probability and Random Variables

A big Rubik's cube on the street.

In the popular puzzle Rubik's Cube invented in 1974 by Ernő Rubik, each turn of the puzzle faces creates a permutation of the surface colors. (Image by Kristin on flickr. License CC BY-NC-SA.)

Instructor(s)

MIT Course Number

18.600

As Taught In

Fall 2019

Level

Undergraduate

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Course Description

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.

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Related Content

Scott Sheffield. 18.600 Probability and Random Variables. Fall 2019. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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