MACT 406 - Stochastic Processes

Introduction to stochastic process, discrete time Markov chains (DTMC). The Exponential distribution and Poisson process, continuous-time Markov chains (CTMC). Transient and limiting behavior for both DTMC and CTMC. Single and multi channels Markovian queueing models, network of queues. Applications in actuarial science, computer science and engineering.
Prerequisites
MACT 233, MACT 306 or MACT 317.
When Offered
Offered once a year.
(3 cr.)

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AUC New Cairo Campus

AUC Tahrir Square Campus

New York

MACT 406 - Stochastic Processes