18.600 | Fall 2019 | Undergraduate

Probability and Random Variables

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 …
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.
Learning Resource Types
Exam Solutions
Exams
Instructor Insights
Lecture Notes
Open Textbooks
Problem Sets
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.)