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Data Science in Digital Health Systems
SYSE 6328
Erik Jonsson School of Engineering and Computer Science
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. 3 credit hours.
Prerequisites: Signals and Systems (BMEN 3302 or EE 3302 or equivalent), Probability Theory and Statistics (ENGR 3341 or equivalent), or instructor approval.
Offering Frequency: Each year
Click a checkbox to add something to compare.
Data Science in Digital Health Systems
SYSE 6328
Erik Jonsson School of Engineering and Computer Science
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. 3 credit hours.
Prerequisites: Signals and Systems (BMEN 3302 or EE 3302 or equivalent), Probability Theory and Statistics (ENGR 3341 or equivalent), or instructor approval.
Offering Frequency: Each year
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