ORIE 5580

ORIE 5580

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580

  • 4 Credits Opt NoAud

  •  9734ORIE 5580  LEC 001

    • TRTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Henderson, S

  • Instruction Mode: Planned for In Person
    Co-meets with ORIE 4580. Priority given to ORIE Meng students. Email hjr27@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  •  9735ORIE 5580  DIS 201

  • Instruction Mode: Planned for In Person

  •  9736ORIE 5580  DIS 202

  • Instruction Mode: Planned for In Person

  •  9737ORIE 5580  DIS 203

  • Instruction Mode: Planned for In Person