ORIE 5581

ORIE 5581

Course information provided by the Courses of Study 2019-2020.

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 (weeks 1-7).

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.

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4580ORIE 5580

  • 2 Credits Stdnt Opt

  • 11017 ORIE 5581   LEC 001

  • Drop deadline is 9/26/2019. Priority given to ORIE majors. Email oriewaitlists@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.

  • 11018 ORIE 5581   DIS 201

  • 11019 ORIE 5581   DIS 202

  • 11020 ORIE 5581   DIS 203

  • 11021 ORIE 5581   DIS 204