36 410

Introduction to Probability Modeling

Carnegie Mellon University · UGRD · Fall 2026

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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: 36-225 or 21-325 or 36-218 or 36-217 or 15-259 or 36-235 or 36-219 or 21-425

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Class #carnegie_mellon-36410Fall 2026UGRD9 credits
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