ORIE 4740

ORIE 4740

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

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

Last 4 Terms Offered (None)

When Offered Spring.

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

  • 4 Credits Graded

  • 10377 ORIE 4740   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Davis, D

  • Instruction Mode: In Person

  • 10378 ORIE 4740   DIS 203

    • W
    • Jan 21 - May 6, 2025
    • Davis, D

  • Instruction Mode: In Person

  • 10379 ORIE 4740   DIS 204

    • R
    • Jan 21 - May 6, 2025
    • Davis, D

  • Instruction Mode: In Person