ORIE 4580

ORIE 4580

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


Prerequisites REF-FA25/Corequisites REF-FA25 CS 2110/ENGRD 2110. Corequisite: ORIE 3500 with the permission of instructor. Corequisites: None.

Last 4 terms offered (None)

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: ORIE 5580

  • 4 Credits Opt NoAud

  •  4388 ORIE 4580   LEC 001

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

  • Instruction Mode: In Person

  •  4389 ORIE 4580   LAB 401

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

  • Instruction Mode: In Person

  •  4390 ORIE 4580   LAB 402

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

  • Instruction Mode: In Person

  •  6391 ORIE 4580   LAB 403

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

  • Instruction Mode: In Person