This page focuses on the course 18.440 Probability and Random Variables as it was taught by Prof. Scott Sheffield in Spring 2014.
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.
Every fall and spring semester
The students' grades were based on the following activities:
Mostly juniors and seniors
1/2 math majors, 1/2 non-math majors
During an average week, students were expected to spend 12 hours on the course, roughly divided as follows: