ORIE 5580

ORIE 5580

Course information provided by the 2025-2026 Catalog.

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.


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

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

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

  • 4 Credits Opt NoAud

  •  4593 ORIE 5580   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Banerjee, S

  • Instruction Mode: In Person

    Priority given to: Operations Research and Information Engineering (ORIE) Master of Engineering (MEng) students. Non-ORIE students may enroll during Add/Drop.

  •  4594 ORIE 5580   LAB 401

    • M
    • Aug 25 - Dec 8, 2025
    • Banerjee, S

  • Instruction Mode: In Person

  •  4595 ORIE 5580   LAB 402

    • M
    • Aug 25 - Dec 8, 2025
    • Banerjee, S

  • Instruction Mode: In Person

  •  6388 ORIE 5580   LAB 403

    • W
    • Aug 25 - Dec 8, 2025
    • Banerjee, S

  • Instruction Mode: In Person