Course: STAT 25100
Title: Introduction to Mathematical Probability
Instructor(s): Daniel Massatt
Teaching Assistant(s): Rohan Hore, Solomon Quinn
Class Schedule: Section 1: MW 4:10 PM–5:30 PM (Remote)
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 16300 or MATH 16310 or MATH 20500 or MATH 20510 or MATH 20900), with no grade requirement), or ((MATH 19520 or MATH 20000) with (either a minimum grade of B-, or STAT major, or currently enrolled in prerequisite course)). Or instructor consent.
Note(s): Students may count either STAT 25100 or STAT 25150, but not both, toward the forty-two credits required for graduation.