ORIE 5500
Last Updated
- Schedule of Classes - November 21, 2024 7:58PM EST
- Course Catalog - November 21, 2024 7:07PM EST
Classes
ORIE 5500
Course Description
Course information provided by the Courses of Study 2024-2025.
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.
When Offered Fall, Summer.
Prerequisites/Corequisites Prerequisite: ENGRD 2700.
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 Kimball Hall B11
- Aug 26 - Dec 9, 2024
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
- M Phillips Hall 407
- Aug 26 - Dec 9, 2024
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 Snee Hall Geological Sci 2146
- Aug 26 - Dec 9, 2024
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 407
- Aug 26 - Dec 9, 2024
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
- Aug 26 - Dec 9, 2024
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 306
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
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