ORIE 4740

Last Updated

  • Schedule of Classes - June 19, 2018 12:09PM EDT
  • Course Catalog - March 23, 2018 2:31PM EDT

ORIE 4740
Statistical Data Mining I

Course information provided by the Courses of Study 2017-2018.

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 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

  • 11061 ORIE 4740   LEC 001

  • Project work continues through end of term.

    Department Consent Required (Add)

  • 11062 ORIE 4740   DIS 201

  • Department Consent Required (Add)

  • 11063 ORIE 4740   DIS 202

  • Department Consent Required (Add)

  • 11064 ORIE 4740   DIS 203

  • Department Consent Required (Add)

  • 12238 ORIE 4740   DIS 205

  • Department Consent Required (Add)