ILRST 4100

ILRST 4100

Course information provided by the Courses of Study 2022-2023.

Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.  Topics include MANOVA, principal components, factor analysis, structural equations, discriminant analysis and clustering.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: BTRY 3080 or equivalent, BTRY 3020 or BTRY 6020.

Outcomes
  • Students will be able to explain the utility of multivariate methods for MANOVA, PCA, factor analysis, discriminant analysis and clustering.
  • Students will be able to analyze multivariate data using modern statistical software.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100STSCI 4100STSCI 5111

  • 4 Credits Stdnt Opt

  • 18852 ILRST 4100   LEC 001

    • MW Olin Hall 155
    • Jan 23 - May 9, 2023
    • Yang, D

  • Instruction Mode: In Person