Course: STAT 25100
Title: Introduction to Mathematical Probability
Instructor(s): Daniel Massatt
Teaching Assistant(s): Solomon Quinn
Class Schedule: Sec 02:MW 1:30 PM–2:50 PM in Rosenwald 011
Office Hours:
Textbook(s): Pitman, Probability
Description: This course covers fundamentals and axioms; combinatorial probability; conditional probability and independence; binomial, Poisson, and normal distributions; the law of large numbers and the central limit theorem; and random variables and generating functions.
Prerequisite(s): MATH 20000 or 20500, or consent of instructor
