ORIE 4740
Last Updated
- Schedule of Classes - June 19, 2018 12:09PM EDT
- Course Catalog - March 23, 2018 2:31PM EDT
Classes
ORIE 4740
Course Description
Course information provided by the 2017-2018 Catalog.
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.
Prerequisites/Corequisites Prerequisite: ORIE 3500 and MATH 2940 or equivalent; programming experience. Exposure to multiple linear regression and logistic regression strongly recommended.
When Offered Spring.
Regular Academic Session. Choose one lecture and one discussion.
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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 Olin Hall 165
Instructors
Chen, Y
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Additional Information
Instruction Mode: In Person
Project work continues through end of term.
Department Consent Required (Add)
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Class Number & Section Details
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Meeting Pattern
- M Frank H T Rhodes Hall 453
Instructors
Chen, Y
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Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- M Frank H T Rhodes Hall 453
Instructors
Chen, Y
-
Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- T Frank H T Rhodes Hall 453
Instructors
Chen, Y
-
Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- W Frank H T Rhodes Hall 453
Instructors
Chen, Y
-
Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
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