Algorithm Engineering and Machine Learning for Biomedical Engineers

Catalog description

Credits 3. 3 Lecture Hours. Investigation and practices of applications of data analytics, machine learning, and deep learning in health sciences and biomedical data; includes exploratory data analysis (EDA), algorithms and methods of deriving insights from patient biometrics, patient history data, sensor data, electronic health records, microscopy images, and medical images. Prerequisites: Graduate classification or approval of instructor.