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Jan 13, 2025
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2020-2022 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG]
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TR-GY 7063 Stochastic models and methods for engineering systems3 Credits
Basic theory of stochastic processes and random graphs with a variety of transportation applications. Random variables, events, laws of large numbers; Finite-state Markov chains, steady-state distribution, exponential convergence, Markov decision process; Poisson process, Little’s theorem, M/M/1 queues, queuing networks, hybercube model, fluid model; Branching process, Erdős-Rényi model, geometric random graph; Applications in connected/autonomous vehicles, intersections, highway traffic, transit, patrol, emergency services, air transportation, infrastructure maintenance, urban development
Prerequisite(s): Knowledge of Undergraduate course on calculus, probability, and linear algebra.
Weekly Lecture Hours: 3
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