BME Data Science

1 credits · Undergraduate

Data science is vital for extracting insights from complex biomedical data, transforming drug discovery, delivery, omics, diagnostics, and image analysis. This course covers 'Data,' 'Models,' and 'Evaluations' in machine learning, focusing on biomedical engineering challenges and opportunities. Students learn fundamentals and apply algorithms from linear regression to neural networks via case studies and labs with real biomedical datasets, preparing for advanced study and careers in academia, pharma, healthcare, and biotech. Prerequisite: BME 244L and MATH 218D-2 and (EGR 105L or COMPSCI 201)