ORIE 4740
Last Updated
- Schedule of Classes - September 9, 2021 7:14PM EDT
- Course Catalog - September 9, 2021 7:15PM EDT
Classes
ORIE 4740
Course Description
Course information provided by the Courses of Study 2020-2021.
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.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW Online Meeting
- Feb 8 - May 14, 2021
Instructors
Chen, Y
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- R Online Meeting
- Feb 8 - May 14, 2021
Instructors
Chen, Y
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- R Online Meeting
- Feb 8 - May 14, 2021
Instructors
Chen, Y
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- F Online Meeting
- Feb 8 - May 14, 2021
Instructors
Chen, Y
-
Additional Information
Instruction Mode: Online
-
Class Number & Section Details
-
Meeting Pattern
- F Online Meeting
- Feb 8 - May 14, 2021
Instructors
Chen, Y
-
Additional Information
Instruction Mode: Online
Share
Disabled for this roster.