36-610 Intro to Probability Modeling
9 units, Carnegie Mellon University
An introductory-level course in stochastic processes. Topics typically include Poisson processes, Markov chains, birth and death processes, random walks, recurrent events, and renewal theory. Examples are drawn from reliability theory, queuing theory, inventory theory, and various applications in the social and physical sciences.
Prerequisites: none listed
Offered: Spring 2027, Spring 2026
Courseweave needs JavaScript to show sections, workloads and planning tools.