ORIE 3500
Last Updated
- Schedule of Classes - May 20, 2024 7:35PM EDT
- Course Catalog - May 20, 2024 7:07PM EDT
Classes
ORIE 3500
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.
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 Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MWF To Be Assigned
- 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 To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
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Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Patie, P
-
Additional Information
Instruction Mode: In Person
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