ORIE 5580
Last Updated
- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Classes
ORIE 5580
Course Description
Course information provided by the Courses of Study 2018-2019.
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 optmization of complex systems. Emphasizes tools and techniques needed in practice; in particular, modeling and sminulation in Python, as well as commercial discrete-event simulation languages.
When Offered Fall.
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.
Comments Co-meets with ORIE 4580/ORIE 5581.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4580, ORIE 5581
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Kimball Hall B11
Instructors
Banerjee, S
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Additional Information
Co-meets with ORIE 4580. Preference given to ORIE MEng Students.
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Class Number & Section Details
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Meeting Pattern
- M Frank H T Rhodes Hall 571
Instructors
Banerjee, S
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Class Number & Section Details
-
Meeting Pattern
- M Frank H T Rhodes Hall 571
Instructors
Banerjee, S
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Class Number & Section Details
-
Meeting Pattern
- F Frank H T Rhodes Hall 571
Instructors
Banerjee, S
-
Class Number & Section Details
-
Meeting Pattern
- F Frank H T Rhodes Hall 571
Instructors
Banerjee, S
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