ORIE 4740

ORIE 4740

Course information provided by the Courses of Study 2015-2016.

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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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 11319ORIE 4740  LEC 001

  • Project work continues through end of term.

  • 11320ORIE 4740  DIS 201

  • 11321ORIE 4740  DIS 202

  • 11322ORIE 4740  DIS 203

  • 17187ORIE 4740  DIS 204

  • 18338ORIE 4740  DIS 205