## ME 316A: Design Impact Master's Project I

ME316A, also known as the Idea to Impact class is a Fall/Winter class and a two-quarter commitment is required. The class is a deep dive in design thinking that uses student-led projects to teach design process and methods, based on the themes of Empathic Autonomy in Healthcare, and Empowering Power in Energy. Students will learn the methodologies of design thinking by bringing a product, service, or user-experience design to fruition/impact in the real world, through the market, with corporate partners, or as a research project. Students apply to Idea to Impact in the Summer, and teams are formed after interviews and applications are reviewed. Prerequisite: Graduate student standing.

Terms: Aut
| Units: 2-6

Instructors:
Follmer, S. (PI)
;
Kelley, D. (PI)

## ME 318: Computer-Aided Product Creation

Design course focusing on an integrated suite of computer tools: rapid prototyping, solid modeling, computer-aided machining, and computer numerical control manufacturing. Students choose, design, and manufacture individual products, emphasizing individual design process and computer design tools. Structured lab experiences build a basic CAD/CAM/CNC proficiency. Limited enrollment. Prerequisite: ME103 or equivalent and consent of instructor.

Terms: Aut, Win, Spr
| Units: 3-4

Instructors:
Jaques, T. (PI)
;
Milroy, C. (PI)

## ME 336: Discontinuous Galerkin Methods for Fluid-Flow Simulations

This course is designed to provide an introduction to discontinuous Galerkin (DG) methods and related high-order discontinuous solution techniques for solving partial differential equations with application to fluid flows. The course covers mathematical and theoretical concepts of the DG-methods and connections to finite-element and finite-volume methods. Computational aspects on the discretization, stabilization methods, flux-evaluations, and integration techniques will be discussed. Problems and examples will be drawn from advection-reaction-diffusion equations, non-linear Euler and Navier-Stokes systems, and related fluid-dynamics problems. As part of a series of homework assignments and projects, students will develop their own DG-method for solving the compressible flow equations in complex two-dimensional geometries.

Terms: Aut
| Units: 3

Instructors:
Ihme, M. (PI)

## ME 340: Mechanics - Elasticity and Inelasticity

Introduction to the theories of elasticity, plasticity and fracture and their applications. Elasticity: Definition of stress, strain, and elastic energy; equilibrium and compatibility conditions; and formulation of boundary value problems. Stress function approach to solve 2D elasticity problems and Greenâs function approach in 3D. Applications to contact and crack. Plasticity: Yield surface, associative flow rule, strain hardening models, crystal plasticity models. Applications to plastic bending, torsion and pressure vessels. Fracture: Linear elastic fracture mechanics, J-integral, Dugdale-Barrenblatt crack model. Applications to brittle fracture and fatigue crack growth. Computer programming in Matlab is used to aid analytic derivation and numerical solutions.

Terms: Aut
| Units: 3

Instructors:
Gu, W. (PI)

## ME 348: Experimental Stress Analysis

Theory and applications of photoelasticity, strain sensors, and holographic interferometry. Comparison of test results with theoretical predictions of stress and strain. Discussion of other methods (optical fiber strain sensors, digital image correlation, thermoelasticity, brittle coating, Moire interferometry, residual stress determination). Six labs plus mini-project. Limited enrollment. Lab fee.

Terms: Aut
| Units: 3

Instructors:
Nelson, D. (PI)
;
Absalon, P. (TA)

## ME 351A: Fluid Mechanics

Exact and approximate analysis of fluid flow covering kinematics, global and differential equations of mass, momentum, and energy conservation. Forces and stresses in fluids. Euler¿s equations and the Bernoulli theorem applied to inviscid flows. Vorticity dynamics. Topics in irrotational flow: stream function and velocity potential for exact and approximate solutions; superposition of solutions; complex potential function; circulation and lift. Some boundary layer concepts.

Terms: Aut
| Units: 3

Instructors:
Su, L. (PI)

## ME 362A: Physical Gas Dynamics

Concepts and techniques for description of high-temperature and chemically reacting gases from a molecular point of view. Introductory kinetic theory, chemical thermodynamics, and statistical mechanics as applied to properties of gases and gas mixtures. Transport and thermodynamic properties, law of mass action, and equilibrium chemical composition. Maxwellian and Boltzmann distributions of velocity and molecular energy. Examples and applications from areas of current interest such as combustion and materials processing.

Terms: Aut
| Units: 3

Instructors:
Bowman, C. (PI)
;
Streicher, J. (TA)

## ME 370A: Energy Systems I: Thermodynamics

Thermodynamic analysis of energy systems emphasizing systematic methodology for and application of basic principles to generate quantitative understanding. Exergy, mixtures, reacting systems, phase equilibrium, chemical exergy, and modern computational methods for analysis. Prerequisites: undergraduate engineering thermodynamics and computer skills such as Matlab.

Terms: Aut
| Units: 3

## ME 377: Design Thinking Studio

Design Thinking Studio is an immersive introduction to design thinking. You will engage in the real world with your heart, hands and mind to learn and apply the tools and attitudes of design. The class is project-based and emphasizes adopting new behaviors of work. Fieldwork and collaboration with teammates are required and are a critical component of the class. Application required, see
dschool.stanford.edu/classes for more information.

Terms: Aut, Win, Spr
| Units: 4

Instructors:
Britos Cavagnaro, L. (PI)
;
Carroll, M. (PI)
;
Forshaw, T. (PI)
...
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Instructors:
Britos Cavagnaro, L. (PI)
;
Carroll, M. (PI)
;
Forshaw, T. (PI)
;
Harte, S. (PI)
;
Pferdt, F. (PI)
;
Schmutte, K. (PI)
;
Andrews, A. (TA)
;
Feig, V. (TA)

## ME 378: Tell, Make, Engage: Action Stories for Entrepreneuring

Individual storytelling action and reflective observations gives the course an evolving framework of evaluative methods, from engineering design; socio cognitive psychology; and art that are formed and reformed by collaborative development within the class. Stories attached to an idea, a discovery or starting up something new, are considered through iterative narrative work, storytelling as rapid prototyping and small group challenges. This course will use qualitative and quantitative methods for story engagement, assessment, and class determined research projects with practice exercises, artifacts, short papers and presentations. Graduate and Co-Term students from all programs welcome. Class size limited to 21.

Terms: Aut, Win, Spr
| Units: 1-3
| Repeatable for credit

Instructors:
Karanian, B. (PI)

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