ORIE 4580

ORIE 4580

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

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 2110/ENGRD 2110.  Corequisite: ORIE 3500 with the permission of the instructor.

View Enrollment Information

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5580ORIE 5581

  • 4 Credits Stdnt Opt

  • 10453 ORIE 4580   LEC 001

  • Priority given to ORIE majors. Email oriewaitlists@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  • 10454 ORIE 4580   DIS 201

  • 10455 ORIE 4580   DIS 202

  • 10456 ORIE 4580   DIS 203

  • 10457 ORIE 4580   DIS 204