ORIE 5740

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ORIE 5740

Course information provided by the Courses of Study 2023-2024.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4740

  • 4 Credits Graded

  • 18678 ORIE 5740   LEC 001

    • MW Bard Hall 140
    • Jan 22 - May 7, 2024
    • Davis, D

  • 18681 ORIE 5740   DIS 203

  • 18682 ORIE 5740   DIS 204