ORIE 5580

Last Updated

  • Schedule of Classes - July 3, 2024 8:11PM EDT
  • Course Catalog - July 3, 2024 7:43PM EDT

ORIE 5580
Simulation Modeling and Analysis

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

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 laboratory. Combined with: ORIE 4580

  • 4 Credits Opt NoAud

  •  6738 ORIE 5580   LEC 001

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    • TR Kimball Hall B11
    • Aug 26 - Dec 9, 2024

    • Scully, Z

  • Instruction Mode: In Person
    Priority given to: Operations Research and Information Engineering (ORIE) Master of Engineering (Meng) students. Email [email protected] to be added to the waitlist. Please include the discussion you need to enroll in.

  •  6739 ORIE 5580   LAB 401

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  • Instruction Mode: In Person

  •  6740 ORIE 5580   LAB 402

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  • Instruction Mode: In Person

  •  6741 ORIE 5580   LAB 403

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  • Instruction Mode: In Person

  •  9633 ORIE 5580   LAB 404

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  • Instruction Mode: In Person