BME 437Biomedical Data Science for Bioengineers

3 credits · Biomedical Engineering · Penn State

This course is an introduction to the theory and practice of biomedical data science. We will focus on applications of data analysis to problems in the diagnosis and treatment of human disease. Applied biomedical data science requires strong computer programming skills and strong data analysis skills. Students will learn basic programming skills in an open source language, intermediate programming skills required to handle diverse medical, genomic, and clinical datasets (i.e. regular expressions, reproducible programming, file handling). We will cover the underlying principles and the practice of both supervised and unsupervised techniques in statistical learning by applying them to biomedical datasets. The emphasis will be on the practice of data analysis, and students will be required to undertake large scale analyses of real biomedical data.