ORIE 5740
Last Updated
- Schedule of Classes - November 13, 2024 8:41AM EST
- Course Catalog - November 12, 2024 10:26AM EST
Classes
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ORIE 5740
Course Description
Course information provided by the 2023-2024 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, 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. 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 Bard Hall 140
- Jan 22 - May 7, 2024
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 571
- Jan 22 - May 7, 2024
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 Carpenter Hall 104 blue
- Jan 22 - May 7, 2024
Instructors
Davis, D
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Additional Information
Instruction Mode: In Person
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