ORIE 5740

ORIE 5740

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. Exposure to multiple linear regression and logistic regression strongly recommended.

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 4740

  • 4 Credits Graded

  • 10380 ORIE 5740   LEC 001

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

  • Instruction Mode: In Person

  • 10381 ORIE 5740   DIS 203

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

  • Instruction Mode: In Person

  • 10382 ORIE 5740   DIS 204

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

  • Instruction Mode: In Person