ORIE 5581

ORIE 5581

Course information provided by the 2025-2026 Catalog.

Introduction to Monte Carlo simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis. Emphasizes modeling and simulation in Python.


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
  •   Seven Week - First.  Choose one lecture and one laboratory.

  • 2 Credits Opt NoAud

  • 10207 ORIE 5581   LEC 001

    • TR
    • Aug 25 - Oct 10, 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.

  • 10208 ORIE 5581   LAB 401

    • M
    • Aug 25 - Oct 10, 2025
    • Banerjee, S

  • Instruction Mode: In Person

  • 10209 ORIE 5581   LAB 402

    • M
    • Aug 25 - Oct 10, 2025
    • Banerjee, S

  • Instruction Mode: In Person

  • 10344 ORIE 5581   LAB 403

    • W
    • Aug 25 - Oct 10, 2025
    • Banerjee, S

  • Instruction Mode: In Person