ORIE 4740
Last Updated
- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Classes
ORIE 4740
Course Description
Course information provided by the Courses of Study 2018-2019.
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 Fall.
Prerequisites/Corequisites Prerequisite: ORIE 3500 and 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.
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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
- MW Olin Hall 255
Instructors
Chen, Y
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Class Number & Section Details
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Meeting Pattern
- T Frank H T Rhodes Hall 453
Instructors
Chen, Y
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Class Number & Section Details
-
Meeting Pattern
- T Frank H T Rhodes Hall 453
Instructors
Chen, Y
-
Class Number & Section Details
-
Meeting Pattern
- W Frank H T Rhodes Hall 453
Instructors
Chen, Y
-
Class Number & Section Details
-
Meeting Pattern
- W Frank H T Rhodes Hall 453
Instructors
Chen, Y
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