ORIE 5580

ORIE 5580

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

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 and simulation in Python, as well as commercial discrete-event simulation languages.

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580

  • 4 Credits Opt NoAud

  •  9275 ORIE 5580   LEC 001

    • TR Olin Hall 155
    • Aug 22 - Dec 5, 2022
    • Henderson, S

  • Instruction Mode: In Person
    Co-meets with ORIE 4580. Priority given to ORIE Meng students. Email hjr27@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  •  9276 ORIE 5580   DIS 201

  • Instruction Mode: In Person

  •  9277 ORIE 5580   DIS 202

  • Instruction Mode: In Person

  •  9278 ORIE 5580   DIS 203

  • Instruction Mode: In Person

  • 19170 ORIE 5580   DIS 204

    • R To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Henderson, S

  • Instruction Mode: In Person