IE 5532: Stochastic Models

4 CreditsOnline Available

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.

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B Average (3.155)Most Common: A (31%)

This total also includes data from semesters with unknown instructors.

86 students
WFDCBA
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    Recommend
  • 4.17

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    Effort
  • 4.40

    /5

    Understanding
  • 4.19

    /5

    Interesting
  • 4.47

    /5

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