BMEN6328 - Data Science in Digital Health Systems

BMEN 6328 (SYSE 6328) Data Science in Digital Health Systems (3 semester credit hours) This project-based course will teach systems analysis and data science techniques using digital health data. The project will have students: collect data on themselves throughout the semester using a provided Oura Ring wearable device (at no cost to the student); build a secure system to store, access, and analyze the data; and use signal processing and machine learning approaches to identify and analyze trends in collected signals. Lectures will cover a variety of topics, including systems analysis, data science, and digital health. No prior knowledge of biology or human health is required. Prerequisites: (BMEN 3302 or EE 3302 or equivalent) and (ENGR 3341 or equivalent) or instructor approval. (3-0) Y