ORIE 5500
Last Updated
- Schedule of Classes - February 16, 2018 10:59AM EST
- Course Catalog - February 12, 2018 11:18AM EST
Classes
ORIE 5500
Course Description
Course information provided by the 2017-2018 Catalog.
A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.
Prerequisites/Corequisites Prerequisite: ENGRD 2700.
When Offered Fall.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 3500
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MWF Hollister Hall B14
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
Co-meets with ORIE 3500.
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Class Number & Section Details
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Meeting Pattern
- M Phillips Hall 403
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- T Upson Hall 206
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Phillips Hall 403
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Hollister Hall 110
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Hollister Hall 320
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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