ORIE 5581

ORIE 5581

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Fall.

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

View Enrollment Information

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

  • 2 Credits Opt NoAud

  • 12705 ORIE 5581   LEC 001

    • TR Kimball Hall B11
    • Aug 26 - Oct 11, 2024
    • Scully, Z

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

  • 12706 ORIE 5581   LAB 401

  • Instruction Mode: In Person

  • 12707 ORIE 5581   LAB 402

  • Instruction Mode: In Person

  • 12708 ORIE 5581   LAB 403

  • Instruction Mode: In Person

  • 12888 ORIE 5581   LAB 404

  • Instruction Mode: In Person