ORIE 4740

ORIE 4740

Course information provided by the Courses of Study 2020-2021.

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.

  • 4 Credits Graded

  • 11808 ORIE 4740   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • Chen, Y

  • Instruction Mode: Online

  • 11809 ORIE 4740   DIS 201

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • Chen, Y

  • Instruction Mode: Online

  • 11810 ORIE 4740   DIS 202

    • R Online Meeting
    • Feb 8 - May 14, 2021
    • Chen, Y

  • Instruction Mode: Online

  • 11811 ORIE 4740   DIS 203

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Chen, Y

  • Instruction Mode: Online

  • 11812 ORIE 4740   DIS 204

    • F Online Meeting
    • Feb 8 - May 14, 2021
    • Chen, Y

  • Instruction Mode: Online