ORIE 5581

ORIE 5581

Course information provided by the Courses of Study 2022-2023.

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 discussion.

  • 2 Credits Opt NoAud

  • 11584 ORIE 5581   LEC 001

    • TR Olin Hall 155
    • Aug 22 - Oct 7, 2022
    • Henderson, S

  • Instruction Mode: In Person
    Priority given to ORIE majors. Email hjr27@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  • 11585 ORIE 5581   DIS 201

  • Instruction Mode: In Person

  • 11586 ORIE 5581   DIS 202

  • Instruction Mode: In Person

  • 11587 ORIE 5581   DIS 203

  • Instruction Mode: In Person

  • 19171 ORIE 5581   DIS 204

  • Instruction Mode: In Person