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Course Criteria
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3.00 Credits
(3-0) 3 credits. Mechanics of blood circulation, fluid mechanics of the heart, blood flow in arteries, unsteady flow in veins, current concepts in circulatory assist devices, biofluidics, and other selected topics. Review of cardiovascular physiology; introduction to fluid mechanics; Models of blood flow and arterial wall dynamics; Fluid mechanics and arterial disease; heart valve fluid dynamics; Ventricular assist devices.
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3.00 Credits
(3-0) 3 credits. The study of transport phenomena in biomedical systems including analysis of engineering and physiological systems and incorporation of these principles into the design of such systems. The objective of this course is for students to learn to think about, understand and model the dynamic behavior of complex biological systems. The scope of the systems to be studied is restricted to an analysis of biotransport phenomena in the human body.
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3.00 Credits
(3-0) 3 credits. Introduction to computer aided design and modeling of prosthetic devices, and their subsequent manufacture using computer aided manufacturing techniques. Applications in orthopedic implant design and fabrication, dental implant design and fabrication, as well as other types of prosthetics. An advanced level review of current computer modeling and manufacturing technology for medical applications.
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3.00 Credits
(3-0) 3 credits. Variational and weighted residual approach to finite element equations. Emphasis on two- and three-dimensional problems in solid mechanics. Isoparametric element formulations, higher order elements, numerical integration, imposition of constraints, convergence, and other more advanced topics. Introduction to geometric and material nonlinearities. Introduction to the solution of dynamic problems and time integration. Use of finite element computer programs.
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3.00 Credits
(3-0) 3 credits. This course develops the theory essential to understanding the algorithms that are increasingly found in modern signal processing applications, such as speech, image processing, digital radio and audio, statistical and adaptive systems. Topics include: analysis of nonstationary signals, transform techniques, Wiener filters, Kalman filters, multirate systems and filter banks, hardware implementation and simulation of filters, and applications of multirate signal processing. Matlab will be used extensively.
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3.00 Credits
(3-0) 3 credits. Software techniques used in medical treatment and diagnosis, including transform techniques. Medical reference software engineering. Data mining. Hardware and connectivity issues. Bioinformatics.
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3.00 Credits
(3-0) 3 credits. This course studies forces that determine molecular structure, transport, and diffusion, macromolecular assemblies, protein synthesis, structural biology, molecular genetics, enzymology.
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3.00 Credits
(3-0) 3 credits. This course will survey recent research at the intersection of biology and mechanical/structural engineering, in particular, applications where nature's design philosophies are applied in human-engineered structures. Multi-functional materials, hierarchical design, adaptive materials within closed loop systems, self-healing of natural structures, with a view to self-healing human engineered structures. Applications in aerospace and rehabilitation engineering.
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3.00 Credits
(3-0) 3 credits. Applications of numerical methods to mechanical engineering problems. Topics will include data processing techniques, curve fitting and interpolation of experimental information, solutions to systems of ordinary differential equations, solutions to partial differential equations, and numerical integration both of known functions and functions described only by experimental data. This course is crosslisted with ME 773.
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1.00 Credits
(1-0) 1 credits. May not be repeated for degree credit. Preparation, oral and/or written presentation, and group discussion of a research problem. The student is expected to present orally the results of his/her own research. This presentation normally will directly precede the final defense of the thesis. Enrollment is generally limited to fewer than 20 students.
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