ORIE 4740

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

ORIE 4740
Statistical Data Mining I

Course information provided by the 2019-2020 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. Exposure to multiple linear regression and logistic regression strongly recommended.

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 17567 ORIE 4740   LEC 001

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    • TR Olin Hall 255
    • Jan 21 - May 5, 2020

    • Davis, D

  • Instruction Mode: Hybrid - Online & In Person

  • 17569 ORIE 4740   DIS 201

  •  

  • Instruction Mode: Hybrid - Online & In Person

  • 17570 ORIE 4740   DIS 202

  •  

  • Instruction Mode: Hybrid - Online & In Person

  • 17571 ORIE 4740   DIS 203

  •  

  • Instruction Mode: Hybrid - Online & In Person

  • 17572 ORIE 4740   DIS 204

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  • Instruction Mode: Hybrid - Online & In Person