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Data Analytics and Biostatistics for Biomedical Engineering

Course Guide for BMEN 4810 and BMEN 5810

Data Analytics and Biostatistics for Biomedical Engineering

Course Goal

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. 

Course Sections

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

MathWorks tools

statistics and machine learning toolbox
math, graphics programming
matlab for data science

Deep Learning

Data Analytics and Biostatistics for Biomedical Engineering

This guide serves as the platform for information and links for the course tools.