36-225 Introduction to Probability Theory

9 units, Carnegie Mellon University

This course is the first half of a year-long course which provides an introduction to probability and mathematical statistics for students in the data sciences. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, law of large numbers, and the central limit theorem. This course is open to those with sophomore standing or higher.

Prerequisites: (21-112 and 21-111) or 21-120 or 21-256 or 21-259

Offered: Spring 2027, Fall 2026, Summer 2026, Fall 2025

Courseweave needs JavaScript to show sections, workloads and planning tools.