ORIE 4740

Last Updated

  • Schedule of Classes - October 16, 2017 11:09AM EDT
  • Course Catalog - June 14, 2017 7:15PM EDT

ORIE 4740
Statistical Data Mining I

Course information provided by the Courses of Study 2016-2017.

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 Prerequisites: ORIE 3500 and MATH 2940 or equivalent; programming experience. Exposure to multiple linear regression and logistic regression strongly recommended.

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Syllabi: none

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

  • 4 Credits Graded

  • 11576 ORIE 4740   LEC 001

  • Project work continues through end of term.

    Department Consent Required (Add)

  • 11577 ORIE 4740   DIS 201

  • Department Consent Required (Add)

  • 11578 ORIE 4740   DIS 202

  • Department Consent Required (Add)

  • 11579 ORIE 4740   DIS 203

  • Department Consent Required (Add)

  • 13071 ORIE 4740   DIS 205

  • Department Consent Required (Add)