BME 3030
Last Updated
- Schedule of Classes - January 15, 2024 7:50PM EST
- Course Catalog - January 15, 2024 7:28PM EST
Classes
BME 3030
Course Description
Course information provided by the Courses of Study 2023-2024.
This course will cover the mathematical foundation to analyze signals and model the behavior of biomedical systems in the time and frequency domains, and help students develop the mindset and skills necessary to produce high-quality measurements of a physiological or biological variable. Labs involving the design and construction of biomedical circuits to quantify a physiological or biological function will foster a broad perspective on biological and biomedical measurement, and provide practical application of linear systems theory and measurement principles covered in lectures.
When Offered Fall.
Permission Note Enrollment preference given to: BME majors.
Prerequisites/Corequisites Prerequisite: MATH 2930 and PHYS 2213 or equivalent. Corequisite: MATH 2940
Outcomes
- Identify variables that could be measured to quantify a physiological function, then design and defend an approach to measure those variables.
- Design and analyze the behavior of circuits with appropriate sensors, filters, and amplifiers for measuring those variables.
- Construct and empirically optimize circuits from these designs so that they are operational with minimal noise and meet experimental needs.
- Acquire high quality data on the variable with appropriate controls and calibrations, while identifying and minimizing systematic bias and random noise.
- Design and implement appropriate signal and image processing approaches for the measured variables and analyze these data to characterize the physiological function.
- Conceive of and conduct an experimental plan to test a hypothesis about the physiological function using the measurement and analysis tools developed.
- Analyze data acquired in a thoughtful and statistically relevant way to test the hypothesis.
- Produce high quality oral presentations and writing that present experimental approach and findings.
- Develop strategies to acquire, consolidate, and use new information to meet challenges.
Regular Academic Session. Choose one lecture, one discussion, and one laboratory.
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Credits and Grading Basis
5 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Weill Hall 226
- Aug 21 - Dec 4, 2023
Instructors
Adie, S
Schaffer, C
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 142
- Aug 21 - Dec 4, 2023
Instructors
Adie, S
Schaffer, C
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M
- Aug 21 - Dec 4, 2023
Instructors
Adie, S
Schaffer, C
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 21 - Dec 4, 2023
Instructors
Adie, S
Schaffer, C
-
Additional Information
Instruction Mode: In Person
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