ORIE 5581
Last Updated
- Schedule of Classes - February 12, 2019 8:29PM EST
- Course Catalog - January 26, 2019 2:00PM EST
Classes
ORIE 5581
Course Description
Course information provided by the 2018-2019 Catalog.
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.
Prerequisites/Corequisites Prerequisite: ORIE 3500 or equivalent. For students with insufficient background in probability, ORIE 3500 must be taken in parallel. CS 2110/ENGRD 2110.
When Offered Fall (weeks 1-7).
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4580, ORIE 5580
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Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Kimball Hall B11
- Aug 23 - Oct 12, 2018
Instructors
Banerjee, S
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Additional Information
Instruction Mode: In Person
Offered first half of term. Co-meets with ORIE 4580.
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Class Number & Section Details
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Meeting Pattern
- M Frank H T Rhodes Hall 571
- Aug 23 - Oct 12, 2018
Instructors
Banerjee, S
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- M Frank H T Rhodes Hall 571
- Aug 23 - Oct 12, 2018
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Frank H T Rhodes Hall 571
- Aug 23 - Oct 12, 2018
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Frank H T Rhodes Hall 571
- Aug 23 - Oct 12, 2018
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: In Person
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