EENG 726
Fundamentals of Markov Processes
New York Institute of Technology · UGRD · Fall 2026
1 section
Catalog description
The account of the elementary theory of Markov chains with applications is presented. Topics include discrete time Markov chains and the Ergodic Theorem, continuous Markov Chains, exponential distribution, Poisson processes, and Brownian motion. Applications in Queueing theory, Decision theory, Markov chains and Monte Carlo methods will be discussed. Prerequisite Course(s): Prerequisite: EENG 635 and EENG 665
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Availability not recently verifiedClass #new_york_2-EENG726Fall 2026UGRD3.0 credits
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