Autumn 2019 STAT 25100-2

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