IE5532

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IE 5532 - Stochastic Models (4 Cr.) Online may be available

Industrial and Systems Engineering (11138) TIOT - College of Science and Engineering

Course description

Introduction to stochastic modeling and stochastic processes. Probability review, random variables, discrete- and continuous-time Markov chains, queueing systems, simulation. Applications to industrial and systems engineering including production and inventory control.

prereq: Undergraduate probability and statistics. Familiarity with computer programming in a high level language.

Minimum credits

4

Maximum credits

4

Is this course repeatable?

No

Grading basis

OPT - Student Option

Lecture

Fulfills the writing intensive requirement?

No

Typically offered term(s)

Every Fall