ORIE 5580

ORIE 5580

Course information provided by the Courses of Study 2019-2020.

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 and simulation in Python, as well as commercial discrete-event simulation languages.

When Offered Fall.

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

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Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580ORIE 5581

  • 4 Credits Stdnt Opt

  • 11012ORIE 5580  LEC 001

  • Co-meets with ORIE 4580. Priority given to ORIE Meng students. Email oriewaitlists@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  • 11013ORIE 5580  DIS 201

  • 11014ORIE 5580  DIS 202

  • 11015ORIE 5580  DIS 203

  • 11016ORIE 5580  DIS 204