# Engineering Math: Data Science

## BMED-6420

The course covers matrix algebra and decompositions, including eigenvalue and generalized eigenvalue problems, solving multivariate constraint and unconstraint optimization problems, gradient-based optimization for solving nonlinear optimization problems, and regression analysis. Concepts that are discussed include solving nonlinear optimization problems, first- and second-order gradient-based methods, estimating parameters for multiple linear regression and mechanistic first-principle models. The course also introduces important data science tasks: data analysis, regression, classification and presents application studies related to biomedical engineering.

3 credits
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |

2025

Engineering Math: Data Science (3c)

- Uwe Kruger

Seats Taken: 3/12

2024

Engineering Math: Data Science (3c)

- FNU Rahul

Seats Taken: 5/12

2023 |  |  |
2022 |  |  |
2021 |  |  |

2020

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 16/15

2019

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 16/10

2018

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 14/10

2017

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 19/39

2016 |  |  |

2015

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 7/45

2014

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 11/15

2013

Clincal Orthopaedics And Research (4c)

- Eric Howard Ledet

Seats Taken: 13/10

2012 |  |  |
2011 |  |  |
2010 |  |  |
2009 |  |  |

2008

Biology And Engr Of Ecm (3c)

- Jan Philip Stegemann

Seats Taken: 9/10

2007 |  |  |
2006 |  |  |
2005 |  |  |
2004 |  |  |
2003 |  |  |
2002 |  |  |
2001 |  |  |
2000 |  |  |
1999 |  |  |
1998 |  |  |