# 18.600 Probability and Random Variables

Class Info

Probability spaces, random variables, distribution functions. Binomial, geometric, hypergeometric, Poisson distributions. Uniform, exponential, normal, gamma and beta distributions. Conditional probability, Bayes theorem, joint distributions. Chebyshev inequality, law of large numbers, and central limit theorem. Credit cannot also be received for 6.041A or 6.041B.

This class has 18.02 as a prerequisite.

18.600 will be offered this semester (Fall 2019). It is instructed by J. A. Kelner and S. Sheffield.

Lecture occurs 2:00 PM to 3:00 PM on Mondays, Wednesdays and Fridays in 10-250.

This class counts for a total of 12 credits.

You can find more information at the MIT + 18.600 - Google Search site or on the 18.600 Stellar site.

Required Textbooks

Save up to up to 33% by purchasing through MIT Textbooks!

MIT 18.600 Probability and Random Variables Related Textbooks

MIT 18.600 Probability and Random Variables On The Web