ORIE 4740

ORIE 4740

Course information provided by the Courses of Study 2021-2022.

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.

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

  • 4 Credits Graded

  • 10614 ORIE 4740   LEC 001

    • TR Online Meeting
    • Jan 24 - May 10, 2022
    • Davis, D

  • Instruction Mode: Online

  • 10615 ORIE 4740   DIS 201

  • Instruction Mode: In Person

  • 10616 ORIE 4740   DIS 202

  • Instruction Mode: In Person

  • 10617 ORIE 4740   DIS 203

  • Instruction Mode: In Person

  • 10618 ORIE 4740   DIS 204

  • Instruction Mode: In Person