# 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
Cross-listed with:
BMED-6480 Biomedical Data Science
Prereqs:
MATH-2010 Multivariable Calculus and Matrix Algebra
and
ENGR-2600 Modeling and Analysis of Uncertainty

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
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| (Session 1) | (Session 2) |
2024 | Biomedical Data Science (4c) Uwe Kruger Seats Taken: 9/15 |  |
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 |  |
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