ORIE 5580

ORIE 5580

Course information provided by the Courses of Study 2023-2024.

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 laboratory. Combined with: ORIE 4580

  • 4 Credits Opt NoAud

  •  7373 ORIE 5580   LEC 001

    • TR Olin Hall 155
    • Aug 21 - Dec 4, 2023
    • Banerjee, S

  • Instruction Mode: In Person
    Priority given to ORIE Meng students. Email orie@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  •  7374 ORIE 5580   LAB 401

  • Instruction Mode: In Person

  •  7375 ORIE 5580   LAB 402

  • Instruction Mode: In Person

  •  7376 ORIE 5580   LAB 403

  • Instruction Mode: In Person

  • 11577 ORIE 5580   LAB 404

  • Instruction Mode: In Person