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BME 241A: Undergraduate Project in Biomedical Engineering Education
1.00 - 3.00 Credits
Vanderbilt University
An independent project, either developmental, experimental, or otherwise investigational in nature, that explores a selected topic in biomedical engineering education. The project is to be conducted under the supervision of a biomedical engineering faculty member or another faculty member approved by the course director. Prerequisite: Consent of course director.
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BME 241A - Undergraduate Project in Biomedical Engineering Education
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BME 241B: Undergraduate Project in Biomedical Engineering Education
1.00 - 3.00 Credits
Vanderbilt University
A continuation of the work in 241A or work in a different area of bioengineering education. Prerequisite: Consent of course director.
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BME 241B - Undergraduate Project in Biomedical Engineering Education
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BME 249: Biomedical Engineering Service Learning and Leadership
3.00 Credits
Vanderbilt University
Identification of local and global human needs, methods of need quantification, implementation of engineering solutions, sustainability, preparation of grant proposals, leadership principles. Independent service project required. Prerequisite: Junior standing. FALL.
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BME 249 - Biomedical Engineering Service Learning and Leadership
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BME 251: Systems Physiology
3.00 Credits
Vanderbilt University
An introduction to quantitative physiology from the engineering point of view. Descriptive physiology of several organ systems (heart, lung, kidney, nerve, blood). Mathematical modeling and computer simulation of organ systems and physiologic control mechanisms. Prerequisite: Differential equations or permission of instructor.
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BME 251 - Systems Physiology
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BME 252: Systems Physiology
3.00 Credits
Vanderbilt University
An introduction to quantitative physiology from the engineering point of view. Descriptive physiology of several organ systems (heart, lung, kidney, nerve, blood). Mathematical modeling and computer simulation of organ systems and physiologic control mechanisms. Prerequisite: Differential equations or permission of instructor.
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BME 253: Neuromuscular Mechanics and Physiology
3.00 Credits
Vanderbilt University
Quantitative characterization of the physiological and mechanical properties of the neuromuscular system. Quantitative models of system components. Applications to fatigue, aging and development, injury and repair, and congenital and acquired diseases. Prerequisite: BME 251 and 101. SPRING.
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BME 253 - Neuromuscular Mechanics and Physiology
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BME 255W: Biomedical Engineering Laboratory
3.00 Credits
Vanderbilt University
Laboratory experiments in biomechanics, thermodynamics, biological transport, signal analysis, biological control, and biological imaging. Emphasis is placed on current methods, instrumentation, and equipment used in biomedical engineering; on oral presentation of results; and on the writing of comprehensive reports. One lecture and one three-hour laboratory per week. Prerequisite: BME 210, 251.
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BME 256: Bioelectricity
3.00 Credits
Vanderbilt University
Cellular basis of the electrical activity of nerve and muscle cells; action potential propagation; voltage- and ligand- gated ion channels; space, voltage, and patch clamp; and electrical, optical, and magnetic measurements of bioelectric activity in cells, isolated tissues, intact animals, and humans. Prerequisite: MATH 196 or 198, BSCI 110A. FALL.
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BME 256 - Bioelectricity
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BME 258: Foundations of Medical Imaging
3.00 Credits
Vanderbilt University
Physics and engineering of image formation by different modalities used for medical applications. Concepts common to different imaging modalities and limits of physical phenomena. Mathematical concepts of image formation and analysis; techniques for recording images using ionizing radiation (including CT), ultrasound, magnetic resonance, and nuclear (including SPECT and PET). Methods of evaluating image quality. Prerequisite: PHYS 116B, 118B, MATH 196. Credit offered for only one of BME 258 and PHYS 228. SPRING.
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BME 260: Analysis of Biomedical Data
3.00 Credits
Vanderbilt University
Application of modern computing methods to the statistical analysis of biomedical data. Sampling, estimation, analysis of variance, and the principles of experimental design and clinical trials are emphasized. Prerequisite: MATH 175. SPRING.
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