ORIE 4740

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ORIE 4740

Course information provided by the 2023-2024 Catalog.

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.


Prerequisites/Corequisites Prerequisite: ORIE 3500, MATH 2940 or equivalent, programming experience. Highly recommended prerequisite: exposure to multiple linear regression and logistic regression

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5740

  • 4 Credits Graded

  • 18673 ORIE 4740   LEC 001

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

  • Instruction Mode: In Person

  • 18676 ORIE 4740   DIS 203

  • Instruction Mode: In Person

  • 18677 ORIE 4740   DIS 204

  • Instruction Mode: In Person