IE5532: Stochastic Models

4 Credits

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 (3.152)Most Common: A (30%)

This total also includes data from semesters with unknown instructors.

121 students
WFDCBA
  • 5.48

    /6

    Recommend
  • 5.20

    /6

    Effort
  • 5.46

    /6

    Understanding
  • 5.30

    /6

    Interesting
  • 5.52

    /6

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