ORIE 4580

ORIE 4580

Course information provided by the 2018-2019 Catalog.

Introduction to Monte Carlo simulation and discrete-event simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis; modeling, analysis and optimization of complex systems.  Emphasizes tools and techniques needed in practice; in particular, modeling in simulation in Python, as well as commercial discrete-event simulation languages.


Prerequisites/Corequisites Prerequisite: CS 2110/ENGRD 2110.  ORIE 3500 may be taken as a co-requisite with the permission of the instructor.

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5580ORIE 5581

  • 4 Credits Stdnt Opt

  • 10615 ORIE 4580   LEC 001

  • Instruction Mode: In Person

    Co-meets with ORIE 5580 & 5581. Preference given to senior ORIE majors.

  • 10616 ORIE 4580   DIS 201

  • Instruction Mode: In Person

  • 10617 ORIE 4580   DIS 202

  • Instruction Mode: In Person

  • 10618 ORIE 4580   DIS 203

  • Instruction Mode: In Person

  • 10619 ORIE 4580   DIS 204

  • Instruction Mode: In Person