Biomedical Data Science

BMED-6480

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
Prereqs:
none

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: 21/20
2022
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 15/20
2021
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 13/10
2020
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 9/10
2019
Biomedical Data Science (4c)
  • Uwe Kruger
Seats Taken: 19/10
2018
Biomedical Fluid Mechanics (3c)
  • Hisham S. Mohamed
Seats Taken: 6/10
2017
Biomedical Fluid Mechanics (3c)
  • Hisham S. Mohamed
Seats Taken: 7/10
2016
Biomedical Fluid Mechanics (3c)
  • Guohao Dai
Seats Taken: 8/12
2015
Biomedical Fluid Mechanics (3c)
  • Guohao Dai
Seats Taken: 3/12
2014
Biomedical Fluid Mechanics (3c)
  • Guohao Dai
Seats Taken: 8/20
2013
Biomedical Fluid Mechanics (3c)
  • Guohao Dai
Seats Taken: 5/20
2012
2011
2010
2009
2008
2007