# 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
Prereqs:
ENGR-2600 Modeling & Analysis Uncertaint
and
one of:
MATH-2010 Multivar Calc & Matrix Algebra MATH-2011 Multivariable Calculus
and
MATH-2012 Matrix Algebra

# 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) |
2025 | Biomedical Data Science (4c) Uwe Kruger Seats Taken: 0/15 |  |
2024 | Biomedical Data Science (4c) Uwe Kruger Seats Taken: 5/15 |  |
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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