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.
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