An Introduction to Biomedical Data Science (GE)

3 credits · Graduate

This course will teach a combination of theory and application of biomedical data science principles using multi-scale biomedical data, including multi-omics, wearable sensor, and electronic health records data. Basic principles of data mining, exploratory data analysis, and statistics will be reviewed, and students will be introduced to supervised and unsupervised machine learning and model evaluation and selection methods. Methodology learned in classes will be applied in the assignments and class project to real world multi-omics, wearable sensor, and electronic health records data. Prerequisite: BME 244L or graduate standing. (GE)