Course Meeting Times
Lectures: 3 sessions / week, 1 hour / session
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.
A Free and Fun-to-Read Book
Introduction to Probability (PDF - 3.1MB) by Charles Grinstead and J. Laurie Snell.
There will be ten problem sets assigned throughout the semester, but there will be no problem sets in the weeks that have exams.
There will be two midterm exams, as well as a final exam for the course.