Biomedical Data Science

BMED-4480

Introduction of multivariate statistical methods to model and analyze recorded data from physiological systems in biomedical engineering. Statistical approaches related to applied multivariate statistics, classification and regression. Associated linear methods include principal component analysis, Fisher discriminant analysis, partial least squares, canonical correlation analysis and their nonlinear counterparts. Descriptive tools include scatter diagrams, Hotelling's T2 statistics and contribution plots. The course has a strong emphasis on biomedical applications.

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 6/15
2022
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 7/15
2021
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 8/25
2020
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 6/25
2019
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 9/25
2018
2017
2016
2015
2014
2013
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2009
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