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BMEN 6328 (Overall) | |||||
BMEN 6328 James Yurkovich | |||||
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| Name | Grades | Rating | |||
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BMEN 6328 (Overall) | |||||
BMEN 6328 James Yurkovich | |||||
Data Science in Digital Health Systems
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: (BMEN 3302 or EE 3302 or equivalent) and (ENGR 3341 or equivalent) or instructor approval.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.
Data Science in Digital Health Systems
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: (BMEN 3302 or EE 3302 or equivalent) and (ENGR 3341 or equivalent) or instructor approval.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Data Science in Digital Health Systems
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: (BMEN 3302 or EE 3302 or equivalent) and (ENGR 3341 or equivalent) or instructor approval.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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| Name | Grades | Rating | |||
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BMEN 6328 (Overall) | |||||
BMEN 6328 James Yurkovich | |||||
