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ME 382A: Medical Device Design

Real world problems and challenges of biomedical device design and evaluation. Students engage in industry sponsored projects resulting in new designs, physical prototypes, design analyses, computational models, and experimental tests, gaining experience in: the formation of design teams; interdisciplinary communication skills; regulatory issues; biological, anatomical, and physiological considerations; testing standards for medical devices; and intellectual property.

ME 382B: Medical Device Design

Continuation of industry sponsored projects from 382A. With the assistance of faculty and expert consultants, students finalize product designs or complete detailed design evaluations of new medical products. Bioethics issues and strtegies for funding new medical ventures.

ME 385: Tissue Engineering Lab

Hands-on experience in the fabrication of living engineered tissues. Techniques include sterile technique, culture of mammalian cells, creation of cell-seeded scaffolds, and the effects of mechanical loading on the metabolism of living engineered tissues. Theory, background, and practical demonstration for each technique. Lab.

ME 386: Neuromuscular Biomechanics (BIOE 386)

The interplay between mechanics and neural control of movement. State of the art assessment through a review of classic and recent journal articles. Emphasis is on the application of dynamics and control to the design of assistive technology for persons with movement disorders.

ME 390: Thermosciences Research Project Seminar

Review of work in a particular research program and presentations of other related work.
| Repeatable for credit

ME 399: Fuel Cell Seminar

Interdisciplinary research in engineering, chemistry, and physics. Talks on fundamentals of fuel cells by speakers from Stanford, other academic and research institutions, and industry. The potential to provide high efficiency and zero emissions energy conversion for transportation and electrical power generation.

ME 408: Spectral Methods in Computational Physics

Data analysis, spectra and correlations, sampling theorem, nonperiodic data, and windowing; spectral methods for numerical solution of ordinary and partial differential equations; accuracy and computational cost; fast Fourier transform, Galerkin, collocation, and Tau methods; spectral and pseudospectral methods based on Fourier series and eigenfunctions of singular Sturm-Liouville problems; Chebyshev, Legendre, and Laguerre representations; convergence of eigenfunction expansions; discontinuities and Gibbs phenomenon; aliasing errors and control; efficient implementation of spectral methods; spectral methods for complicated domains; time differencing and numerical stability.

ME 413: Quantum Confinement Structures: Physics and Fabrication

Quantum mechanics principles and the thermodynamics of confinement structures. Focus is on potential applications such as solar cells and catalysis. Student presentations. Lab demonstrations. Prerequisite: background in quantum mechanics and statistical thermodynamics.

ME 420: Applied Electrochemistry at Micro- and Nanoscale

The class is an introduction to applied electrochemistry with focus on micro- and nanoscale applications. Basic concepts of physical chemistry are presented, of which the fundamentals of electrochemistry are built. Theory of electrochemical methods for material analyses and material modifications are discussed with emphasis on the scaling behaviors. This year electrochemical energy generation/storage devices with focus on batteries will be discussed in class. Journals articles are reviewed within the framework of the course with focus on current problems and needs in and energy conversion and storage.
Instructors: Fasching, R. (PI)

ME 438: Computational Molecular Modeling Project

Project-based class. Topics for projects include parallel methods for molecular dynamics, multiple time stepping algorithms, free energy computation, molecular pathways analysis, long-time scale behavior of numerical integrators, and multigrid based fast electrostatic algorithms. Students can propose their own projects. Final report and oral presentation. May be repeated for credit.
| Repeatable for credit
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