ORIE 3500
Last Updated
- Schedule of Classes - February 7, 2022 7:27PM EST
- Course Catalog - February 7, 2022 7:14PM EST
Classes
ORIE 3500
Course Description
Course information provided by the Courses of Study 2021-2022.
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 or equivalent.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 5500
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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
- MWF Hollister Hall B14
- Aug 26 - Dec 7, 2021
Instructors
Samorodnitsky, G
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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 Upson Hall 222
- Aug 26 - Dec 7, 2021
Instructors
Samorodnitsky, G
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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 Phillips Hall 403
- Aug 26 - Dec 7, 2021
Instructors
Samorodnitsky, G
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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 7, 2021
Instructors
Samorodnitsky, G
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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 Snee Hall Geological Sci 2146
- Aug 26 - Dec 7, 2021
Instructors
Samorodnitsky, G
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- F Upson Hall 222
- Aug 26 - Dec 7, 2021
Instructors
Samorodnitsky, G
-
Additional Information
Instruction Mode: In Person
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