Data analysis is a major skill that is required to solve problems as well as to design and develop biotechnology solutions and medical devices. A bioengineer must not only apply the long standard general statistical methods in order to analyze data but also master some of the unique aspects involved in the analysis of biomedical datasets. This course will require the student to become proficient in MATLAB and the Statistics and Machine Learning Toolbox in order to achieve course learning objectives. The student will also be required to demonstrate their bioanalytical proficiency through the implementation of an individual project.
BMEN 4810 Data Analytics & Biostatistics (undergraduate)
BMEN 5810 Data Analytics & Biostatistics for Biomedical Engineering (graduate)
Undergraduate and graduate course will differ only in project requirements
Data Analytics and Biostatistics for Biomedical Engineering
This guide serves as the platform for information and links for the course tools.