Biomedical Data Analytics. 3 credits

Catalog description

This course introduces the fundamental techniques and tools for analyzing biomedical data, important for many biomedical engineering problems. Topics include classification, regression, clustering, dimensionality reduction, data representation, and algorithm performance evaluation. Students will deepen their understanding of the concepts and gain hands-on experience on data analysis by applying algorithms to analyze and interpret various kinds of standard biological and biomedical data encountered in bioengineering fields. This course will be an innovative course leveraging hybrid learning through a combination of lectures, on-line content, and course project. Offered by Bioengineering . Limited to two attempts.