ORIE 5581

ORIE 5581

Course information provided by the 2026-2027 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 3500/5500 and CS 2110/ENGRD 2110 or equivalent.

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

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one laboratory.

  • 2 Credits Opt NoAud

  • 11013 ORIE 5581   LEC 001

    • TR
    • Aug 24 - Oct 9, 2026
    • Scully, Z

  • 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.

  • 11014 ORIE 5581   LAB 401

    • M
    • Aug 24 - Oct 9, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 11015 ORIE 5581   LAB 402

    • M
    • Aug 24 - Oct 9, 2026
    • Scully, Z

  • Instruction Mode: In Person

  • 11016 ORIE 5581   LAB 403

    • W
    • Aug 24 - Oct 9, 2026
    • Scully, Z

  • Instruction Mode: In Person