ORIE 5581

ORIE 5581

Course information provided by the Courses of Study 2020-2021.

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:
  •   Seven Week - First.  Choose one lecture and one discussion.

  • 2 Credits GradeNoAud

  •  9923 ORIE 5581   LEC 001

    • TR Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online
    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.

  •  9924 ORIE 5581   DIS 201

    • M Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9925 ORIE 5581   DIS 202

    • W Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9926 ORIE 5581   DIS 203

    • W Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online

  •  9927 ORIE 5581   DIS 204

    • F Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online

  • 19829 ORIE 5581   DIS 205

    • F Online Meeting
    • Sep 2 - Oct 20, 2020
    • Banerjee, S

  • Instruction Mode: Online