BE-GY 6473 Applied Mathematics and Statistics for Biomedical Engineers

3 Credits

This course introduces applied mathematics and advanced statistical methods commonly encountered in biomedical engineering, while covering probability theory to bridge between mathematics and statistics. The topics include: generalized linear mixed models, discrete-time models, stochastic processes, elements of information theory, time-series analysis, causality analysis, and rudiments of probability theory. Beyond structured learning in class, students will work on the analysis of real datasets from the biomedical fields.

Prerequisite(s): Basic knowledge of calculus