ORIE 5580
Last Updated
- Schedule of Classes - March 3, 2021 7:15PM EST
- Course Catalog - March 3, 2021 7:16PM EST
Classes
ORIE 5580
Course Description
Course information provided by the Courses of Study 2020-2021.
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.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
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Additional Information
Instruction Mode: Online
Co-meets with ORIE 4580. Priority given to ORIE Meng students. Email oriewaitlists@cornell.edu to be added to the waitlist. Please include the discussion you need to enroll in.
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Class Number & Section Details
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Meeting Pattern
- M Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
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Additional Information
Instruction Mode: Online
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Class Number & Section Details
-
Meeting Pattern
- W Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- W Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: Online
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Class Number & Section Details
-
Meeting Pattern
- F Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- F Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: Online
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