ORIE 5740
Last Updated
- Schedule of Classes - June 21, 2024 12:50PM EDT
- Course Catalog - June 6, 2024 12:59PM EDT
Classes
ORIE 5740
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
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, MATH 2940 or equivalent, programming experience. Exposure to multiple linear regression and logistic regression strongly recommended.
Last 4 Terms Offered (None)
When Offered Spring.
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
- MW
- Jan 21 - May 6, 2025
Instructors
Davis, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W
- Jan 21 - May 6, 2025
Instructors
Davis, D
-
Additional Information
Instruction Mode: In Person
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