ORIE 4740

ORIE 4740

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.

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  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 17612 ORIE 4740   LEC 001

  • 17613 ORIE 4740   DIS 201

  • 17614 ORIE 4740   DIS 202

  • 17615 ORIE 4740   DIS 203

  • 17616 ORIE 4740   DIS 204