ORIE 5580

ORIE 5580

Course information provided by the Courses of Study 2020-2021.

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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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  •  9918 ORIE 5580   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online
    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.

  •  9919 ORIE 5580   DIS 201

    • M Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9920 ORIE 5580   DIS 202

    • W Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9921 ORIE 5580   DIS 203

    • W Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9922 ORIE 5580   DIS 204

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online

  • 19840 ORIE 5580   DIS 205

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Banerjee, S

  • Instruction Mode: Online