printer friendly pageME 423: D.HEALTH: Design Thinking for Better Health
In the U.S., 75% of medical expenditures are for illnesses that are predominantly lifestyle related such as type 2 diabetes, arthritis and heart disease. It has been shown as people modify their lifestyles with healthier habits, medical problems can be reduced or avoided and a healthier and happier life achieved. The class employs design thinking in teams while working directly with volunteers in the community to help them achieve their health goals. There is an individual project and a team project each with multiple milestones. Admission by application. See
dschool.stanford.edu/classes for more information.
Terms: Win
| Units: 3
ME 451A: Advanced Fluid Mechanics Multiphase Flows
Single particle and multi-particle fluid flow phenomena, mass, momentum and heat transfer, characteristic time and length scales, non-dimensional groups; collection of dispersed-phase elements: instantaneous and averaged descriptions for multiphase flow, Eulerian-Eulerian and Lagrangian-Eulerian statistical representations, mixture theories; models for drag, heat and mass transfer; dilute to dense two-phase flow, granular flows; computer simulation approaches for multiphase flows, emerging research topics. Prerequisites: graduate level fluid mechanics and engineering mathematics, and undergraduate engineering mechanics and thermodynamics.
Terms: Aut
| Units: 3
Instructors:
Ihme, M. (PI)
ME 451B: Advanced Fluid Mechanics Flow Instability
Waves in fluids: surface waves, internal waves, inertial and acoustic waves, dispersion and group velocity, wave trains, transport due to waves, propagation in slowly varying medium, wave steepening, solitons and solitary waves, shock waves. Instability of fluid motion: dynamical systems, bifurcations, Kelvin-Helmholtz instability, Rayleigh-Benard convection, energy method, global stability, linear stability of parallel flows, necessary and sufficient conditions for stability, viscosity as a destabilizing factor, convective and absolute instability. Focus is on flow instabilities. Prerequisites: graduate courses in compressible and viscous flow.
Terms: Aut
| Units: 3
Instructors:
Lele, S. (PI)
ME 451D: Microhydrodynamics (CHEMENG 310)
Transport phenomena on small-length scales appropriate to applications in microfluidics, complex fluids, and biology. The basic equations of mass, momentum, and energy, derived for incompressible fluids and simplified to the slow-flow limit. Topics: solution techniques utilizing expansions of harmonic and Green's functions; singularity solutions; flows involving rigid particles and fluid droplets; applications to suspensions; lubrication theory for flows in confined geometries; slender body theory; and capillarity and wetting. Prerequisites: 120A,B, 300, or equivalents.
Terms: Win
| Units: 3
Instructors:
Fuller, G. (PI)
ME 458: Advanced Topics in Electrokinetics
Electrokinetic theory and electrokinetic separation assays. Electroneutrality approximation and weak electrolyte electrophoresis theory. Capillary zone electrophoresis, field amplified sample stacking, isoelectric focusing, and isotachophoresis. Introduction to general electrohydrodynamics (EHD) theory including the leaky dielectric concept, the Ohmic model formulation, and electrokinetic flow instabilities. Prerequisite:
ME 457.
Terms: Spr
| Units: 3-5
Instructors:
Santiago, J. (PI)
ME 468: Experimental Research in Advanced User Interfaces (COMM 168, COMM 268, COMM 368)
Project-based course involves small (3-4) person teams going through all parts of the experimental process: question generation, experiment design, running, and data analysis. Each team creates an original, publishable project that represents a contribution to the research and practicum literatures. All experiments involve interaction between people and technology, including cars, mobile phones, websites, etc. Prerequisite: consent of instructor.
Last offered: Autumn 2013
| Repeatable
for credit
ME 469: Computational Methods in Fluid Mechanics
The last two decades have seen the widespread use of Computational Fluid Dynamics (CFD) for analysis and design of thermal-fluids systems in a wide variety of engineering fields. Numerical methods used in CFD have reached a high degree of sophistication and accuracy. The objective of this course is to introduce ¿classical¿ approaches and algorithms used for the numerical simulations of incompressible flows. In addition, some of the more recent developments are described, in particular as they pertain to unstructured meshes and parallel computers. An in-depth analysis of the procedures required to certify numerical codes and results will conclude the course.
Terms: Win
| Units: 3
Instructors:
Iaccarino, G. (PI)
ME 469B: Computational Methods in Fluid Mechanics
Advanced CFD codes. Geometry modeling, CAD-CFD conversion. Structured and unstructured mesh generation. Solution methods for steady and unsteady incompressible Navier-Stokes equations. Turbulence modeling. Conjugate (solid/fluid) heat transfer problems. Development of customized physical models. Batch execution for parametric studies. Final project involving solution of a problem of student¿s choosing. Prerequisite:
ME 300C/
CME 206.
Last offered: Spring 2007
ME 470: Uncertainty Quantification
Uncertainty analysis in computational science. Probabilistic data representation, propagation techniques and validation under uncertainty. Mathematical and statistical foundations of random variables and processes for uncertainty modeling. Focus is on state-of-the-art propagation schemes, sampling techniques, and stochastic Galerkin methods. The concept of model validation under uncertainty and the determination of confidence bounds estimates. Prerequisite: basic probability and statistics at the level of
CME 106 or equivalent.
Terms: Spr
| Units: 3
Instructors:
Iaccarino, G. (PI)
ME 485: Modeling and Simulation of Human Movement (BIOE 485)
Direct experience with the computational tools used to create simulations of human movement. Lecture/labs on animation of movement; kinematic models of joints; forward dynamic simulation; computational models of muscles, tendons, and ligaments; creation of models from medical images; control of dynamic simulations; collision detection and contact models. Prerequisite: 281, 331A,B, or equivalent.
Terms: Spr
| Units: 3
Instructors:
Delp, S. (PI)
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