ORIE 5740
Last Updated
- Schedule of Classes - February 7, 2022 11:35AM EST
- Course Catalog - January 18, 2022 1:31PM EST
Classes
ORIE 5740
Course Description
Course information provided by the Courses of Study 2021-2022.
Examines the statistical aspects of data mining, the effective analysis of large datasets. Covers the process of building and interpreting various statistical models appropriate to such problems arising in scientific and business applications. Topics include naïve Bayes, graphical models, multiple regression, logistic regression, clustering methods and principal component analysis. Assignments are done using one or more statistical computing packages.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: ORIE 3500, MATH 2940 or equivalent, programming experience. Exposure to multiple linear regression and logistic regression strongly recommended.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4740
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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
- TR Online Meeting
- Jan 24 - May 10, 2022
Instructors
Davis, D
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Additional Information
Instruction Mode: Online
Enrollment restricted to graduate students. Early Admit MEng students and OR&E Honors Program students may enroll with department approval.
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Class Number & Section Details
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Meeting Pattern
- M Phillips Hall 318
- Jan 24 - May 10, 2022
Instructors
Davis, D
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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 Frank H T Rhodes Hall 453
- Jan 24 - May 10, 2022
Instructors
Davis, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W Frank H T Rhodes Hall 453
- Jan 24 - May 10, 2022
Instructors
Davis, D
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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 Phillips Hall 318
- Jan 24 - May 10, 2022
Instructors
Davis, D
-
Additional Information
Instruction Mode: In Person
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