ORIE 5580

ORIE 5580

Course information provided by the Courses of Study 2018-2019.

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 optmization of complex systems.  Emphasizes tools and techniques needed in practice; in particular, modeling and sminulation in Python, as well as commercial discrete-event simulation languages.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: ORIE 3500 or equivalent.  For students with insufficient background in probability, ORIE 3500 must be taken in parallel. CS 2110/ENGRD 2110.

Comments Co-meets with ORIE 4580/ORIE 5581.

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580ORIE 5581

  • 4 Credits Stdnt Opt

  • 11184 ORIE 5580   LEC 001

  • Co-meets with ORIE 4580. Preference given to ORIE MEng Students.

  • 11185 ORIE 5580   DIS 201

  • 11186 ORIE 5580   DIS 202

  • 11187 ORIE 5580   DIS 203

  • 11188 ORIE 5580   DIS 204