ORIE 4580

ORIE 4580

Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.

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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: CS 2110/ENGRD 2110. Corequisite: ORIE 3500 with the permission of instructor.

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  6521 ORIE 4580   LEC 001

    • TR To Be Assigned
    • Aug 26 - Dec 9, 2024
    • Scully, Z

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

  •  6522 ORIE 4580   LAB 401

    • M To Be Assigned
    • Aug 26 - Dec 9, 2024
    • Scully, Z

  • Instruction Mode: In Person

  •  6523 ORIE 4580   LAB 402

    • M To Be Assigned
    • Aug 26 - Dec 9, 2024
    • Scully, Z

  • Instruction Mode: In Person

  •  6524 ORIE 4580   LAB 403

    • W To Be Assigned
    • Aug 26 - Dec 9, 2024
    • Scully, Z

  • Instruction Mode: In Person

  •  9639 ORIE 4580   LAB 404

    • W To Be Assigned
    • Aug 26 - Dec 9, 2024
    • Scully, Z

  • Instruction Mode: In Person