ME 1:
Introduction to Mechanical Engineering
This course is intended to be the starting point for Mechanical Engineering majors. It will cover the concepts, engineering methods, and common tools used by mechanical engineers while introducing the students to a few interesting devices. We will discuss how each device was conceived, design challenges that arose, application of analytical tools to the design, and production methods. Main class sections will include lectures, demonstrations, and in-class group exercises. Lab sections will develop specific skills in freehand sketching and computational modeling of engineering systems. Prerequisites: Physics: Mechanics, and first quarter Calculus.
Terms: Aut, Spr
| Units: 3
| UG Reqs: WAY-AQR
ME 14AX:
Design for Silver and Bronze
This class will teach piercing saw work in sterling silver, light forming, embossing and potentially enameling. Equal attention will be given to technique and manufacturing. Students will receive a tool kit and materials prior to the start of the Arts Intensive. Sara and Amanda have been teaching ME298: Silversmithing in Design at Stanford for 17 years, they are full time designers at RedStart Design, LLC and also Lecturers in Design in the Mechanical Engineering Department.
Terms: Sum
| Units: 2
| UG Reqs: WAY-CE
ME 23N:
Soft Robots for Humanity
While traditional robotic manipulators are constructed from rigid links and simple joints, a new generation of robotic devices are soft, using flexible, deformable materials. Students in this class will get hands-on experience building soft robots using various materials, actuators, and programming to create robots that perform different tasks. Through this process, students will gain an appreciation for the capabilities and limitations of bio-inspired systems, use design thinking to create novel robotic solutions, and gain practical interdisciplinary engineering skills.
Last offered: Autumn 2019
| Units: 3
ME 30:
Engineering Thermodynamics
The basic principles of thermodynamics are introduced in this course. Concepts of energy and entropy from elementary considerations of the microscopic nature of matter are discussed. The principles are applied in thermodynamic analyses directed towards understanding the performances of engineering systems. Methods and problems cover socially responsible economic generation and utilization of energy in central power generation plants, solar systems, refrigeration devices, and automobile, jet and gas-turbine engines.
Terms: Aut, Win, Spr
| Units: 3
| UG Reqs: WAY-AQR, WAY-SMA
ME 70:
Introductory Fluids Engineering
Elements of fluid mechanics as applied to engineering problems. Equations of motion for incompressible flow. Hydrostatics. Control volume laws for mass, momentum, and energy. Bernoulli equation. Differential equations of fluid flow. Euler equations. Dimensional analysis and similarity. Internal flows. Introductory external boundary layer flows. Introductory lift and drag. ENGR14 and ME30 required.
Terms: Win, Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
ME 80:
Mechanics of Materials
Mechanics of materials and deformation of structural members. Topics include stress and deformation analysis under axial loading, torsion and bending, column buckling and pressure vessels. Introduction to stress transformation and multiaxial loading. Prerequisite: ENGR 14.
Terms: Aut, Win
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
ME 102:
Foundations of Product Realization
Students develop the language and toolset to transform design concepts into tangible models/prototypes that cultivate the emergence of mechanical aptitude. Visual communication tools such as sketching, orthographic projection, and 2D/3D design software are introduced in the context of design and prototyping assignments. Instruction and practice with hand, powered, and digital prototyping tools in the Product Realization Lab support students implementation and iteration of physical project work. Project documentation, reflection, and in-class presentations are opportunities for students to find their design voice and practice sharing it with others. Prerequisite: ME 1 or ME 101 or consent of instructor.
Terms: Aut, Win, Spr, Sum
| Units: 3
ME 103:
Product Realization: Design and Making
ME103 is designed for sophomores or juniors in mechanical engineering or product design. During the course students will develop a point of view around a product or object of their own design that is meaningful to them in some way. Students will evolve their ideas through a series of prototypes of increasing fidelity ¿ storyboards, sketches, CAD models, rough prototypes, 3D printed models, etc. The final project will be a high-fidelity product or object made with the PRL's manufacturing resources, giving students a sound foundation in fabrication processes, design guidelines, tolerancing, and material choices. The student's body of work will be presented in a large public setting, Meet the Makers, through a professional grade portfolio that shares and reflects on the student's product realization adventure. ME103 assumes familiarity with product realization fundamentals, CAD and 3D printing. Prerequisite for ME103: ME102.
Terms: Aut, Win, Spr
| Units: 4
ME 104:
Mechanical Systems Design
How to design mechanical systems through iterative application of intuition, brainstorming, analysis, computation and prototype testing. Design of custom mechanical components, selection of common machine elements, and selection of electric motors and transmission elements to meet performance, efficiency and reliability goals. Emphasis on high-performance systems. Independent and team-based design projects. Prerequisites: PHYSICS 41; ENGR 14; ME 80; ME 102; ME 103 or 203. Prerequisites strictly enforced. Must have PRL pass. Must attend lecture. Recommended: ENGR 15; CS 106A; ME 128 or ME 318.
Terms: Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
ME 105:
Designing for Impact
This course will introduce the design thinking process and skills, and explore unique challenges of solving problems and initiating action for public good. Design skills such as need-finding, insight development, and prototyping will be learned through hands-on project work with a community partner and a particular emphasis on the elements required to be effective in the social sector. This is a Cardinal Course certified by the Haas Center for Public Service. ME101 recommended.
Last offered: Spring 2020
| Units: 3
ME 106:
How to Redesign Everyday Things (for Beginners) (ARCHLGY 106Q)
Design encompasses a complex nexus of activity including ideating, prototyping, sharing, breaking, repairing, and discarding things. This class will focus 3 lenses on familiar every day designed objects: (a) historic and societal influences, (b) user need and interaction considerations, and (c) redesign and prototyping opportunities. Sessions interleave lessons in society, design, and usability, with hands-on practical skills in making, to bring new perspectives to students in both humanities and engineering. Students with enthusiasm and little or no experience in making are encouraged to join.
Terms: Aut
| Units: 3
ME 108:
Making and Breaking Things
This course introduces students to maker culture and the hands-on activity of assembling and dissecting modern products. Students will gain experience and skills in opening and tinkering with devices, repurposing them to serve a new and different purpose, and working with basic electronics including sensors, actuators, and microcontrollers such as Arduino. Activities will vary each quarter, ranging from hacking appliances, to LED sculptures, textile sensors, paper robots, and more. Guest speakers will lead some activities and introduce students to broader perspectives on making.
Terms: Spr
| Units: 1
ME 123:
Computational Engineering
The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system, require the analysis of its flow and thermal characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing. Virtual prototyping is a staple of modern engineering practice. This course is an introduction to Computational Engineering using commercial analysis codes, covering both theory and applications. Assuming limited knowledge of computational methods, the course starts with introductory training on the software, using a series of lectures and hands-on tutorials. We utilize the ANSYS software suite, which is used across a variety of engineering fields. Herein, the emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results. Advanced concepts such as the use of turbulence models, user programming and automation for design are also introduced. The course is concluded by a project, in which the students apply the software to solve a industry-inspired problem. Enrollment priority will be given to juniors and seniors who are using this course to meet their BSME program requirements.
Terms: Spr
| Units: 4
ME 127:
Design for Additive Manufacturing
Design for Additive Manufacturing (DfAM) combines the fields of Design for Manufacturability (DfM) and Additive Manufacturing (AM). ME127 will introduce the capabilities and limitations of various AM technologies and apply the principles of DfM in order to design models fit for printing. Students will use Computer Aided Design (CAD) software to create and analyze models and then print them using machines and resources in the Product Realization Lab. Topics include: design for rapid prototyping, material selection, post-processing and finishing, CAD simulation, algorithmic modeling, additive tooling and fixtures, and additive manufacturing at scale. Prerequisite: ME102 and ME80, or consent of instructor.
Terms: Win, Spr
| Units: 3
ME 128:
Computer-Aided Product Realization
Students will continue to build understanding of Product Realization processes and techniques concentrating on Computer Numerical Control (CNC) machines, materials, tools, and workholding. Students will gain an understanding of CNC in modern manufacturing and alternative methods and tools used in industry. Students will contribute to their professional portfolio by including projects done in class. Limited enrollment. Prerequisite: ME 103 and consent of instructor.
Terms: Aut, Win, Spr
| Units: 3-4
ME 129:
Manufacturing Processes and Design
ME129 is designed for Juniors in Mechanical Engineering who have elected the Product Realization concentration. Students will develop professional level knowledge and experience with materials and manufacturing processes. Activities will include lectures, site visits to local manufacturing organizations, and recorded site visits to global manufacturing organizations. Assignments will include essays and discussions based on site visits, materials exploration including hands-on activities in the Product Realization Lab (PRL), and product tear downs supported by PRL resources. The environmental sustainability consequences of materials and transformation process choices will be a unifying thread running throughout the course. Prerequisites: ME102 and ME103.
Terms: Win
| Units: 3
ME 131:
Heat Transfer
The principles of heat transfer by conduction, convection, and radiation with examples from the engineering of practical devices and systems. Topics include transient and steady conduction, conduction by extended surfaces, boundary layer theory for forced and natural convection, boiling, heat exchangers, and graybody radiative exchange. Prerequisites: ME70, ME30 (formerly listed at ENGR30). Recommended: intermediate calculus, ordinary differential equations.This course was formerly ME131A. Students who have already taken ME131A should not enroll in this course.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
ME 132:
Intermediate Thermodynamics
A second course in engineering thermodynamics. Review of first and second laws, and the state principle. Extension of property treatment to mixtures. Chemical thermodynamics including chemical equilibrium, combustion, and understanding of chemical potential as a driving force. Elementary electrochemical thermodynamics. Coursework includes both theoretical and applied aspects. Applications include modeling and experiments of propulsion systems (turbojet) and electricity generation (PEM fuel cell). Matlab is used for quantitative modeling of complex energy systems with real properties and performance metrics. Prerequisites: ME30 required, ME70 suggested, ME131 desirable.
Terms: Aut
| Units: 4
ME 133:
Intermediate Fluid Mechanics
This course expands on the introduction to fluid mechanics provided by ME70. Topics include the conservation equations and finite volume approaches to flow quantification; engineering applications of the Navier-Stokes equations for viscous fluid flows; flow instability and transition to turbulence, and basic concepts in turbulent flows, including Reynolds averaging; boundary layers, including the governing equations, the integral method, thermal transport, and boundary layer separation; fundamentals of computational fluid dynamics (CFD); basic ideas of one-dimensional compressible flows.
Terms: Win
| Units: 3
ME 149:
Mechanical Measurements
The Mechanical Measurement experiments course introduces undergraduates to modern experimental methods in solid mechanics, fluid mechanics, and thermal sciences. A key feature of several of the experiments will be the integration of solid mechanics, fluid mechanics, and heat transfer principles, so that students gain an appreciation for the interplay among these disciplines in real-world problems.
Terms: Spr
| Units: 3
ME 152:
Material Behaviors and Failure Prediction
Exploration of mechanical behaviors of natural and engineered materials. Topics include anisotropic, elastoplastic and viscoelastic behaviors, fatigue and multiaxial failure criteria. Applications to biological materials and materials with natural or induced microstructures (e.g., through additive manufacturing). Prerequisite: ME80 or CEE101A.
Terms: Win
| Units: 3
ME 161:
Dynamic Systems, Vibrations and Control
Modeling, analysis, and measurement of mechanical and electromechanical dynamic systems. Closed form solutions of ordinary differential equations governing the behavior of single and multiple-degree-of-freedom systems. Stability, forcing, resonance, and control system design. Prerequisites: Ordinary differential equations (CME 102 or MATH 53), linear algebra (CME 104 or MATH 53) and dynamics (E 15) are recommended.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
ME 170A:
Mechanical Engineering Design- Integrating Context with Engineering
First course of two-quarter capstone sequence. Working in project teams, design and develop an engineering system addressing a real-world problem in theme area of pressing societal need. Learn and utilize industry development process: first quarter focuses on establishing requirements and narrowing to top concept. Second quarter emphasizes implementation and testing. Learn and apply professional communication skills, assess ethics. Students must also enroll in ME170b; completion of 170b required to earn grade in 170a. Course sequence fulfills ME WIM requirement. Course open to Biomechanics students for Capstone credit. Co- or Prerequisites: ENGR15, ME80, ME104, ME131 (ME only), ME123 (ME Only). (Cardinal Course certified by the Haas Center).
Terms: Aut
| Units: 4
ME 170B:
Mechanical Engineering Design: Integrating Context with Engineering
Second course of two-quarter capstone sequence. Working in project teams, design and develop an engineering system addressing a real-world problem in theme area of pressing societal need. Learn and utilize industry development process: first quarter focuses on establishing requirements and narrowing to top concept. Second quarter emphasizes implementation and testing. Learn and apply professional communication skills, assess ethics. Students must have completed ME170a; completion of 170b required to earn grade in 170a. Course sequence fulfills ME WIM requirement. Course open to Biomechanics students for Capstone credit. Co- or Prerequisites: ENGR15, ME80, ME104, ME131 (ME only), ME123 (ME only). (Cardinal Course certified by the Haas Center).
Terms: Win
| Units: 4
ME 191:
Engineering Problems and Experimental Investigation
Directed study and research for undergraduates on a subject of mutual interest to student and staff member. Student must find faculty sponsor and have approval of adviser.
Terms: Aut, Win, Spr, Sum
| Units: 1-5
| Repeatable
for credit
Instructors: ;
Aquino Shluzas, L. (PI);
Boslough, A. (PI);
Burnett, W. (PI);
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Currano, R. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Davies, K. (PI);
Delp, S. (PI);
Edelman, J. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Feig, V. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Jaffe, D. (PI);
Karanian, B. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kohn, M. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Liu, D. (PI);
Mabogunje, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Milroy, J. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Sather, A. (PI);
Shaqfeh, E. (PI);
Shaughnessy, S. (PI);
Sheppard, S. (PI);
Sirkin, D. (PI);
Somen, D. (PI);
Switky, A. (PI);
Tang, S. (PI);
Venkatesh, U. (PI);
Wang, H. (PI);
Webb, S. (PI);
Wood, J. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 191H:
Honors Research
Student must find faculty honors adviser and apply for admission to the honors program.nn (Staff)
Terms: Aut, Win, Spr, Sum
| Units: 1-5
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 195A:
Food, Design & Technology
Food has been a great source of inspiration for many entrepreneurs and designers. In Silicon Valley, the number of food design solutions has increased tremendously. The goal of this course is to expose students to the landscape of food innovation and design. We will look at food in two different lenses--design and technology. In the first half of the course, students will learn the design thinking process through food. In the next half, students will explore various applications of the design thinking methodology in the real world. Students will do so by actively asking questions, participating in discussions, and engaging in hands-on activities led by industry leaders and experts. Weekly readings will be assigned.
Last offered: Spring 2022
| Units: 1
ME 199A:
Practical Training
For undergraduate students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the Student Services Office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.
Terms: Sum
| Units: 1
| Repeatable
3 times
(up to 3 units total)
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, M. (PI);
Follmer, S. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 203:
Design and Manufacturing
ME203 is intended for any graduate student, from any field of study, who may want the opportunity to design and prototype a physical project of meaning to them. Undergraduate mechanical engineering and product design students should register for ME103. Students are asked to discover a product with meaning to them; develop a point of view which motivates a redesign of that product; manufacture a series of models, multiple candidates, including sketches, product use stories, rapid prototypes, CAD documents, manufacturing test models, and finally a customer ready prototype. Each student will physically create their product using Product Realization Lab resources, and also redesign their product for scaled manufacturing to develop a knowledge of manufacturing processes, design guidelines, materials choices, and the opportunities those processes provide. The student's body of work will be presented in a large public setting, Meet the Makers, through an inspirational portfolio which shares and reflects on their product realization adventure.
Terms: Aut, Win, Spr
| Units: 4
ME 206A:
Design for Extreme Affordability
Design for Extreme Affordability (fondly called Extreme) is a two-quarter course offered by the d.school through the School of Engineering and the Graduate School of Business. This multidisciplinary project-based experience creates an enabling environment in which students learn to design products and services that will change the lives of the world's poorest citizens. Students work directly with course partners on real world problems, the culmination of which is actual implementation and real impact. Topics include design thinking, product and service design, rapid prototype engineering and testing, business modelling, social entrepreneurship, team dynamics, impact measurement, operations planning and ethics. Possibility to travel overseas during spring break. Previous projects include d.light, Driptech, Earthenable, Embrace, the Lotus Pump, MiracleBrace, Noora Health and Sanku. Periodic design reviews; Final course presentation and expo; industry and adviser interaction. Limited enrollment via application. Must sign up for ME206A and ME206B. See extreme.stanford.edu
Terms: Win
| Units: 4
ME 206B:
Design for Extreme Affordability
Design for Extreme Affordability (fondly called Extreme) is a two-quarter course offered by the d.school through the School of Engineering and the Graduate School of Business. This multidisciplinary project-based experience creates an enabling environment in which students learn to design products and services that will change the lives of the world's poorest citizens. Students work directly with course partners on real world problems, the culmination of which is actual implementation and real impact. Topics include design thinking, product and service design, rapid prototype engineering and testing, business modelling, social entrepreneurship, team dynamics, impact measurement, operations planning and ethics. Possibility to travel overseas during spring break. Previous projects include d.light, Driptech, Earthenable, Embrace, the Lotus Pump, MiracleBrace, Noora Health and Sanku. Periodic design reviews; Final course presentation and expo; industry and adviser interaction. Limited enrollment via application. Must sign up for ME206A and ME206B. See extreme.stanford.edu. Cardinal Course certified by the Haas Center
Terms: Spr
| Units: 4
ME 210:
Introduction to Mechatronics (EE 118)
Technologies involved in mechatronics (intelligent electro-mechanical systems), and techniques to apply this technology to mecatronic system design. Topics include: electronics (A/D, D/A converters, op-amps, filters, power devices); software program design, event-driven programming; hardware and DC stepper motors, solenoids, and robust sensing. Large, open-ended team project. Prerequisites: ENGR 40, CS 106, or equivalents.
Terms: Win
| Units: 4
ME 214:
Designing for Accessibility (CS 377Q)
Designing for accessibility is a valuable and important skill in the UX community. As businesses are becomeing more aware of the needs and scope of people with some form of disability, the benefits of universal design, where designing for accessibility ends up benefiting everyone, are becoming more apparent. This class introduces fundamental Human Computer Interaction (HCI) concepts and skills in designing for accessibility through individual assignments. Student projects will identify an accessibility need, prototype a design solution, and conduct a user study with a person with a disability. This class focuses on the accessibility of UX with computers, mobile phones, VR, and has a design class prerequisite (e.g., CS147, ME115A).
Terms: Spr
| Units: 3-4
ME 216M:
Introduction to the Design of Smart Products (CS 377N)
This course will focus on the technical mechatronic skills as well as the human factors and interaction design considerations required for the design of smart products and devices. Students will learn techniques for rapid prototyping of smart devices, best practices for physical interaction design, fundamentals of affordances and signifiers, and interaction across networked devices. Students will be introduced to design guidelines for integrating electrical components such as PCBs into mechanical assemblies and consider the physical form of devices, not just as enclosures but also as a central component of the smart product. Prerequisites include: CS106A and E40 highly recommended, or instructor approval.
Last offered: Spring 2020
| Units: 3-4
ME 217:
Engineering Design Analytics: Design for Manufacture and Value Creation
Engineering Design Analytics is for engineering students seeking greater depth in new product development. Students will develop structured methods for addressing questions like: Who are 'customers'? What do customers value? What are leverage points for designing systems? What are robust metrics for assessing system performance and customer satisfaction? What are failure modes? Why are ethics important in engineering projects? Assignments will include readings, case studies, applied activities, and write-ups. In class activities will include lectures, discussions, and working sessions. Prerequisites: ME 103/203 or consent of instructor.
Terms: Aut, Win
| Units: 3
ME 218A:
Smart Product Design Fundamentals
Lecture/Lab. First in the team design project series on programmable electromechanical systems design. Topics: transistors as switches, basic digital circuits, C language features for embedded software, register level programming, input/output ports and user I/O, hardware abstraction layers, software design, event driven programming, state machines, state charts. Programming of the embedded system is done in C. Students must have a computer (Win10 or OSX) on which they can install the tools used in the classes and a workspace to complete the lab assignments (in case the lab is closed due to COVID). Lab fee. Limited Enrollment, must attend first lecture session. Prerequisite: You should have had a programming course taught in C, C++ or Java and an introductory course in circuit analysis prior to enrolling in ME218a. Loaner test instruments will be provided in the event that the lab is closed due to COVID.
Terms: Aut
| Units: 4-5
ME 218B:
Smart Product Design Applications
Lecture/lab. Second in team design project series on programmable electromechanical systems design. Topics: More microcontroller hardware subsystems: timer systems, PWM, interrupts; analog circuits, operational amplifiers, comparators, signal conditioning, interfacing to sensors, actuator characteristics and interfacing, noise, and power supplies. Lab fee. Limited enrollment. Prerequisite: 218A or passing the smart product design fundamentals proficiency examination.
Terms: Win
| Units: 4-5
ME 218C:
Smart Product Design Practice
Lecture/lab. Third in the series on programmable electromechanical systems design. Topics: inter-processor communication, communication protocols, system design with multiple microprocessors, architecture and assembly language programming for the PIC microcontroller, controlling the embedded software tool chain, A/D and D/A techniques. Team project. Lab fee. Limited enrollment. Prerequisite: 218B.
Terms: Spr
| Units: 4-5
ME 218D:
Smart Product Design: Projects
Lecture/lab. Industrially sponsored project is the culmination of the Smart Product Design sequence. Student teams take on an industrial project requiring application and extension of knowledge gained in the prior three quarters, including prototyping of a final solution with hardware, software, and professional documentation and presentation. Lectures extend the students' knowledge of electronic and software design, and electronic manufacturing techniques. Topics: chip level design of microprocessor systems, real time operating systems, alternate microprocessor architectures, and PCB layout and fabrication. Prerequisite: 218C.
Last offered: Autumn 2022
| Units: 3-4
ME 219:
The Magic of Materials and Manufacturing
ME219 is intended for graduate students who anticipate imagining and creating new products and who are interested in how to make the leap from making one to making many. Through a combination of lectures, weekly factory field trips, and multimedia presentations the class will help students acquire foundational professional experience with materials and materiality, manufacturing processes, and the business systems inside factories. We hope to instill in students a deep and life-long love of materials and manufacturing in order to make great products and tell a good story about each one. This class assumes basic knowledge of materials and manufacturing processes which result from taking ENGR 50, ME203, or equivalent course or life experience. This course is intended for graduate students only.
Terms: Aut
| Units: 3
ME 220:
Introduction to Sensors
Sensors are widely used in scientific research and as an integral part of commercial products and automated systems. The basic principles for sensing displacement, force, pressure, acceleration, temperature, optical radiation, nuclear radiation, and other physical parameters. Performance, cost, and operating requirements of available sensors. Elementary electronic circuits which are typically used with sensors. Lecture demonstration of a representative sensor from each category elucidates operating principles and typical performance. Lab experiments with off-the-shelf devices. Recommended Pre-requisites or equivalent knowledge: Physics 43 electromagnetism, Physics 41 mechanics, Math 53 Taylor series approximation, 2nd order Ordinary Diff Eqns, ENGR40A/Engr40 or ME210, i.e. some exposure to building basic circuits
Terms: Spr
| Units: 4
ME 223:
Applied Robot Design for Non-Robot-Designers: How to Fix, Modify, Design, and Build Robots
Students will learn how to design and build the mechanical hardware of robots. The goal is to take people with minimal robot-building experience and have them building professional-quality robots by the end of the quarter. The course will consist of three labs and a final project, each of which will entail building an interesting robotic device. Topics include robot actuators, sensors, transmissions, rotary and linear motion, standard mechanisms, electronics, high-level software design, and safety. Some experience with Python and/or C++ is preferred.
Last offered: Autumn 2022
| Units: 3
ME 225:
Scaling Up
Scaling Up is intended for design and engineering-oriented students who anticipate or have an interest in launching products. Where the cousin of this class, ME219, is an overview of fabrication and factory systems, this course explores how to go from vision to reality, and from parts to products. We'll explore the systems that enable us to design and produce high-quality products, at scale, at reasonable prices, including quality systems, supply chains, and different ways of conveying intent to factories. Students will acquire a professional foundation in the business of manufacturing through readings, in-class discussion, and roughly one-a-week team projects.
Terms: Spr
| Units: 3
ME 226:
Data Literacy in Mechanical Design Engineering
Fluency with data elevates your impact as a mechanical designer by driving quantitative design choices, rich analyses, and crisp communication. This course demystifies fundamentals like tolerance analyses and failure modes effects analyses. We will use interferential statistics to determine process sensitivity, and calculate if processes are capable within specification limits. Later we will wrangle large datasets in Python to produce rich visualizations and control recommendations. Finally, we will generate a discrete event simulation of an automated manufacturing line to increase production capacity.
Last offered: Autumn 2021
| Units: 3
ME 228:
The Future of Mechanical Engineering (CS 226)
This seminar series provides an overview of current and emerging research topics in mechanical engineering and its application to engineering and scientific problems. The seminar is targeted at senior mechanical engineering undergraduates and mechanical engineering graduate students. Presenters will be selected external speakers who feature exciting and cutting-edge research of mechanical engineering.
Last offered: Winter 2023
| Units: 1
ME 228T:
The Future of Mechanical Engineering Education
This seminar series provides an overview of current and emerging topics in Mechanical Engineering education. It is targeted at undergraduate and coterminal Master's students in Mechanical Engineering. Presenters will be selected external speakers who feature exciting and cutting-edge teaching activities in Mechanical Engineering.
Last offered: Winter 2023
| Units: 1
ME 233:
Automated Model Discovery
Fundamentals of physics-based modeling and deep learning; deep neural networks, recurrent neural networks, constitutive artificial neural networks; Bayesian methods; training, testing, and validation; prediction and uncertainty quantification; soft materials and living matter; discovering models, parameters, and experiments to best explain soft matter systems. Prerequisite: ME80.
Terms: Win
| Units: 3
ME 234:
Introduction to Neuromechanics
Understanding the role of mechanics in brain development, physiology, and pathology. Mechanics of brain cells: neurons, mechanobiology, mechanotransduction. Mechanics of brain tissue: experimental testing, constitutive modeling, computational modeling. Mechanics of brain development: gyrification, cortical folding, axon elongation, lissencephaly, polymicrogyria. Mechanics of traumatic brain injury: high impact loading, neural injury. Mechanics of brain tumors, brain cancer, tumor growth, altered cytoskeletal mechanics. Mechanics of neurological disorders: autism, dementia, schizophrenia. Mechanics of brain surgery.
Last offered: Autumn 2022
| Units: 3
ME 235:
Biotransport Phenomena (APPPHYS 235, BIOE 235, BIOPHYS 235)
The efficient transport of energy, mass, and momentum is essential to the normal function of living systems. Changes in these processes often result in pathological conditions. Transport phenomena are also critical to the design of instrumentation for medical applications and biotechnology. The course aims to introduce the integrated study of transport processes and their biological applications. It covers the fundamental driving forces for transport in biological systems and the biophysics across multiple length scales (molecules, cells, tissues, organs, whole organisms). Topics include chemical gradients, electrical interactions, fluid flow, mass transport. Pre-requisites: Calculus, MATLAB, basic fluid mechanics, heat transfer, solid mechanics.
Last offered: Winter 2023
| Units: 3
ME 236:
Tales to Design Cars By
Students learn to tell personal narratives and prototype connections between popular and historic media using the automobile. Explores the meaning and impact of personal and preserved car histories. Storytelling techniques serve to make sense of car experiences through engineering design principles and social learning, Replay memories, examine engagement and understand user interviews, to design for the mobility experience of the future. This course celebrates car fascination, and leads the student through finding and telling a car story through the REVS photographic archives, ethnographic research, interviews, and diverse individual and collaborative narrative methods-verbal, non-verbal, and film. Methods draw from socio-cognitive psychology design thinking, and fine art; applied to car storytelling. Course culminates in a final story presentation and showcase. Restricted to co-term and graduate students. Class Size limited to 16.
Terms: Spr
| Units: 1-3
| Repeatable
2 times
(up to 6 units total)
ME 238:
Patent Prosecution
The course follows the patent application process through the important stages: inventor interviews, patentability analysis, drafting claims, drafting a specification, filing a patent application, and responding to an office action. The subject matter and practical instruction relevant to each stage are addressed in the context of current rules and case law. The course includes four written assignments: an invention capture, a claim set, a full patent application, and an Office Action response. Pre-requisites: Law 326 (IP:Patents), Law 409 (Intro IP), ME 208, or MS&E 278.
Last offered: Winter 2023
| Units: 2-3
ME 241:
Mechanical Behavior of Nanomaterials (MATSCI 241)
Mechanical behavior of the following nanoscale solids: 2D materials (metal thin films, graphene), 1D materials (nanowires, carbon nanotubes), and 0D materials (metallic nanoparticles, quantum dots). This course will cover elasticity, plasticity and fracture in nanomaterials, defect-scarce nanomaterials, deformation near free surfaces, coupled optoelectronic and mechanical properties (e.g. piezoelectric nanowires, quantum dots), and nanomechanical measurement techniques. Prerequisites: Mechanics of Materials (ME80) or equivalent.
Last offered: Autumn 2018
| Units: 3
ME 242B:
Mechanical Vibrations (AA 242B)
For M.S.-level graduate students. Covers the vibrations of discrete systems and continuous structures. Introduction to the computational dynamics of linear engineering systems. Review of analytical dynamics of discrete systems; undamped and damped vibrations of N-degree-of-freedom systems; continuous systems; approximation of continuous systems by displacement methods; solution methods for the Eigenvalue problem; direct time-integration methods. Prerequisites: AA 242A or equivalent (recommended but not required); basic knowledge of linear algebra and ODEs; no prior knowledge of structural dynamics is assumed.
Last offered: Spring 2019
| Units: 3
ME 243:
Designing Emotion: for Reactive Car Interfaces
Students learn to define emotions as physiology, expression, and private experience using the automobile and shared space. Explores the meaning and impact of personal and user car experience. Reflective, narrative, and socio-cognitive techniques serve to make sense of mobility experiences; replay memories; examine engagement; understand user interviews. This course celebrates car fascination and leads the student through finding and telling the car experience through discussion, ethnographic research, interviews, and diverse individual and collaborative narrative methods-verbal, non-verbal, and in car experiences. Methods draw from socio-cognitive psychology, design thinking, and fine art, and are applied to the car or mobility experience. Course culminates in a final individual narrative presentation and group project demonstration. Class size limited to 18.
Terms: Aut
| Units: 1-3
| Repeatable
2 times
(up to 3 units total)
ME 244:
Mechanotransduction in Cells and Tissues (BIOE 283, BIOPHYS 244)
Mechanical cues play a critical role in development, normal functioning of cells and tissues, and various diseases. This course will cover what is known about cellular mechanotransduction, or the processes by which living cells sense and respond to physical cues such as physiological forces or mechanical properties of the tissue microenvironment. Experimental techniques and current areas of active investigation will be highlighted. This class is for graduate students only.
Terms: Win
| Units: 3
ME 246:
Demand Modeling for Transportation
Predicting human behavior in the future is key to the success of businesses and policies, whether it's predicting how many new products will be sold next year, or how many people will want to cross a bridge next month. This seminar explores key strategies that demand planners use to predict the future, from travel surveys, observational data and interventions. Students will learn basic techniques, considerations when implementing them, and hear from practitioners applying demand modeling in transportation-specific roles.
Last offered: Spring 2020
| Units: 1
ME 248:
Silver Pendant Project
In ME248 a C/NC class, students design and create a silver pendant. Beginning with a basic introduction to design and CAD, students use a computer aided design tool to create a 3D model of their pendant design. Next, using machines and processes at the Product Realization Lab, students build a version of their part in a wax-like material. This part is then used in a lost-wax investment casting process to turn the printed part into a cast silver part. Finally, the students are introduced to a set of hand tools they will use to turn their cast silver part into a finished silver pendant. Students who take ME248 for 1 unit complete one pendant, and take 4 2 hour labs: wax part preparation lab, casting lab, and two finishing labs. Students who take ME248 for 2 units complete a second project beyond the initial pendant, and in addition to the 4 labs will do 3 additional 2 hour labs: a wax printing lab, a sprueing/gating lab and an investing lab. This course must be taken for 2 units to be eligible for Ways credit. Summer offering not eligible for Ways credit.
Terms: Spr, Sum
| Units: 1-2
| UG Reqs: WAY-CE
ME 257:
Gas-Turbine Design Analysis (ME 357)
This course is concerned with the design analysis of gas-turbine engines. After reviewing essential concepts of thermo- and aerodynamics, we consider a turbofan gas-turbine engine that is representative of a business aircraft. We will first conduct a performance analysis to match the engine design with aircraft performance requirements. This is followed by examining individual engine components, including compressor, combustor, turbines, and nozzles, thereby increase the level of physical description. Aspects of modern engine concepts, environmental impacts, and advanced engine-analysis methods will be discussed. Students will have the opportunity to develop a simulation code to perform a basic design analysis of a turbofan engine. Course Prerequisites: ENGR 30, ME 70, ME 131B, CME 100
Terms: Spr
| Units: 3
ME 258:
Fracture and Fatigue of Materials and Thin Film Structures (MATSCI 358)
Linear-elastic and elastic-plastic fracture mechanics from a materials science perspective, emphasizing microstructure and the micromechanisms of fracture. Plane strain fracture toughness and resistance curve behavior. Mechanisms of failure associated with cohesion and adhesion in bulk materials, composites, and thin film structures. Fracture mechanics approaches to toughening and subcritical crack-growth processes, with examples and applications involving cyclic fatigue and environmentally assisted subcritical crack growth. Prerequisite: 151/251, 198/208, or equivalent. SCPD offering.
Terms: Win
| Units: 3
ME 263:
The Chair
Students design and fabricate a highly refined chair. The process is informed and supported by historical reference, anthropometrics, form studies, user testing, material investigations, and workshops in wood steam-bending, plywood forming, metal tube bending, TIG & MIG welding, upholstery & sewing. Prerequisite: ME103/203 or consent of instructor. May be repeated for credit.
Terms: Win
| Units: 4
| Repeatable
2 times
(up to 8 units total)
ME 268:
Robotics, AI and Design of Future Education (EDUC 468)
The time of robotics/AI is upon us. Within the next 10 to 20 years, many jobs will be replaced by robots/AI (artificial intelligence). This seminar features guest lecturers from industry and academia discussing the current state of the field of robotics/AI, preparing students for the rise of robotics/AI, and redesigning and reinventing education to adapt to the new era.
Terms: Win
| Units: 1
| Repeatable
10 times
(up to 10 units total)
ME 269:
Designing Learning and Making Environments
We investigate Learning and Making environments that enable participants to learn technical concepts through designing and prototyping at low cost. The course consists of lectures, invited guest talks and a final project. Students interact with guest speakers who have developed novel learning environments and deployed them in mainstream education settings as well as in extreme conditions such as remote rural locations. Students work in teams to complete a course project using design methodology to develop a learning environment solution.
Terms: Win
| Units: 2
| Repeatable
2 times
(up to 4 units total)
ME 270A:
The Changing Energy Landscape in Europe
Students will learn about the most daunting challenge of our times: Global Climate Change. This course will offer insights at the interface between environmental challenges, environmental policy, economics, and technology in Europe. Not surprisingly, nations differ in their response to the challenge. Recognizing there is no simple and unique answer to the overarching challenge, students will begin to better understand that vested interests may slow down rapid, but inevitable environmental action. Open to senior undergrads and all graduate levels.
| Units: 3
ME 280:
Deliverables: A Mechanical Engineering Design Practicum
This course empowers you with the design process and confidence needed to tackle mechanical design challenges similar to those seen in industry. We will cover valuable design, manufacturing, assembly, and machine design content which you will apply to the weekly projects. These projects are simplified yet representative versions of typical mechanical design challenges seen in industry. You will submit authentic deliverables, such as cad models and technical drawings, and present those deliverables live in a 'design review' format. With frequent feedback, reflection, revision, and repetition, you will refine these professional skills. By successfully completing this course you will bridge the gap between the lessons learned in school and the professional capabilities expected to be an effective engineer in industry.
Last offered: Autumn 2021
| Units: 3
ME 281:
Biomechanics of Movement (BIOE 281)
Experimental techniques to study human and animal movement including motion capture systems, EMG, force plates, medical imaging, and animation. The mechanical properties of muscle and tendon, and quantitative analysis of musculoskeletal geometry. Projects and demonstrations emphasize applications of mechanics in sports, orthopedics, and rehabilitation.
Terms: Win
| Units: 3
ME 283:
Introduction to Biomechanics and Mechanobiology (BIOE 282)
Introduction to the mechanical analysis of tissues (biomechanics), and how mechanical cues play a role in regulating tissue development, adaptation, regeneration, and aging (mechanobiology). Topics include tissue viscoelasticity, cardiovascular biomechanics, blood rheology, interstitial flow, bone mechanics, muscle contraction and mechanics, and mechanobiology of the musculoskeletal system. Undergraduates should have taken ME70 and ME80, or equivalent courses.
Terms: Win
| Units: 3
ME 285:
Computational Modeling in the Cardiovascular System (BIOE 285, CME 285)
This course introduces computational modeling methods for cardiovascular blood flow and physiology. Topics in this course include analytical and computational methods for solutions of flow in deformable vessels, one-dimensional equations of blood flow, cardiovascular anatomy, lumped parameter models, vascular trees, scaling laws, biomechanics of the circulatory system, and 3D patient specific modeling with finite elements; course will provide an overview of the diagnosis and treatment of adult and congenital cardiovascular diseases and review recent research in the literature in a journal club format. Students will use SimVascular software to do clinically-oriented projects in patient specific blood flow simulations. Pre-requisites: CME102, ME133 and CME192.
Terms: Win
| Units: 3
ME 286:
Identification and Estimation in Engineering Design
The main idea for the course is to seek a deeper and more theoretical understanding of some practically useful techniques for modeling and estimation in engineering design. The class will draw from system identification, system modeling theory, statistics and data science disciplines in order to "let the data speak about the system." Prerequisites: ENGR205, EE263, AA212. We will not use any specific materials covered in these subjects, but we assume basic background knowledge of state space, transfer functions, frequency responses, probability, and linear algebra. Intermediate Proficiency in Matlab is preferred (but Python is OK).
Terms: Spr
| Units: 3
ME 287:
Mechanics of Biological Tissues
Introduction to the mechanical behaviors of biological tissues in health and disease. Overview of experimental approaches to evaluating tissue properties and mathematical constitutive models. Elastic behaviors of hard tissues, nonlinear elastic and viscoelastic models for soft tissues.
Terms: Win
| Units: 4
ME 288:
UX Data Analytics
The objective of this course is to develop the ability to derive design insights from quantitative data, similar to the expertise of a UX Researcher. You will learn skills necessary to analyze user/consumer analytical data and how to use statistical tools (R for Statistics) to interpret results. Specific insight tools include A|B testing, factor analysis, linear regression, max/diff analysis and customer life value analysis. The ethics of collecting and analysis of consumer/user data will be explored. Class content will be a mix of lectures, exercises, case studies and a summary team-based project. This class compliments ME341 Design Experiments and can be taken concurrently or after ME341.
| Units: 3
ME 297:
Forecasting for Innovators: Exponential Technologies, Tools and Social Transformation (DESIGN 257)
First we invent our technologies - and then we use our technologies to reinvent ourselves, as individuals, as communities and ultimately, as a planetary society. The result has been a vast wave of astonishing innovations that in turn have generated the profound challenges facing humanity today. You will work with a suite of forecasting methods essential to cultivating innovator's effective foresight, the ability to spot hidden trends, identify new opportunities, develop responsive innovations and anticipate unintended impacts in the face of exponential uncertainty. Our topical focus this quarter will be the Western US megadrought. We will develop an integrated forecast of its long-term trajectory, explore its implications and working as teams, translate our insights into innovation opportunities, encompassing engineering solutions, behavioral insights and policy recommendations. You will learn the basics of technology diffusion, and how to apply a variety of methodologies including scenario planning, field anomaly interaction, cross-impact analysis, expert judgment elicitation and design thinking tools.
Last offered: Winter 2023
| Units: 3
ME 298:
Silversmithing and Design
A course focusing on creating small scale objects in precious metals, with equal attention given to design and the process of investment casting in the Product Realization Lab.
Terms: Win
| Units: 3-4
| Repeatable
for credit
ME 299A:
Practical Training
For master's students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the Student Services Office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.
Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
2 times
(up to 2 units total)
Instructors: ;
Cai, W. (PI);
Cantwell, B. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Milroy, J. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 299B:
Practical Training
For Ph.D. students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the student services office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.
Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
2 times
(up to 2 units total)
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Glenzer, S. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wall, D. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 300A:
Linear Algebra with Application to Engineering Computations (CME 200)
Computer based solution of systems of algebraic equations obtained from engineering problems and eigen-system analysis, Gaussian elimination, effect of round-off error, operation counts, banded matrices arising from discretization of differential equations, ill-conditioned matrices, matrix theory, least square solution of unsolvable systems, solution of non-linear algebraic equations, eigenvalues and eigenvectors, similar matrices, unitary and Hermitian matrices, positive definiteness, Cayley-Hamilton theory and function of a matrix and iterative methods. Prerequisite: familiarity with computer programming, and MATH51.
Terms: Aut
| Units: 3
ME 300B:
Partial Differential Equations in Engineering (CME 204)
Geometric interpretation of partial differential equation (PDE) characteristics; solution of first order PDEs and classification of second-order PDEs; self-similarity; separation of variables as applied to parabolic, hyperbolic, and elliptic PDEs; special functions; eigenfunction expansions; the method of characteristics. If time permits, Fourier integrals and transforms, Laplace transforms. Prerequisite: CME 200/ME 300A, equivalent, or consent of instructor.
Terms: Win
| Units: 3
ME 300C:
Introduction to Numerical Methods for Engineering (CME 206)
Numerical methods from a user's point of view. Lagrange interpolation, splines. Integration: trapezoid, Romberg, Gauss, adaptive quadrature; numerical solution of ordinary differential equations: explicit and implicit methods, multistep methods, Runge-Kutta and predictor-corrector methods, boundary value problems, eigenvalue problems; systems of differential equations, stiffness. Emphasis is on analysis of numerical methods for accuracy, stability, and convergence. Introduction to numerical solutions of partial differential equations; Von Neumann stability analysis; alternating direction implicit methods and nonlinear equations. Prerequisites: CME 200/ME 300A, CME 204/ME 300B.
Terms: Spr
| Units: 3
ME 301:
LaunchPad:Design and Launch your Product or Service (DESIGN 399)
This is an intense course in product design and development offered to graduate students only (no exceptions). In just ten weeks, we will apply principles of design thinking to the real-life challenge of imagining, prototyping, testing and iterating, building, pricing, marketing, distributing and selling your product or service. You will work hard on both sides of your brain. You will experience the joy of success and the (passing) pain of failure along the way. This course is an excellent chance to practice design thinking in a demanding, fast-paced, results-oriented group with support from faculty and industry leaders. This course may change your life. We will treat each team and idea as a real start-up, so the work will be intense. If you do not have a passionate and overwhelming urge to start a business or launch a product or service, this class will not be a fit. Refer to this website for up-to-date class and office hours information: https://www.launchpad.stanford.edu/
Terms: Spr
| Units: 4
ME 302B:
The Future of the Automobile- Driver Assistance and Automated Driving
This course provides a holistic overview over the field of vehicle automation. The course starts with the history of vehicle automation and then introduces key terminology and taxonomy. Guest lecturers present the legal and policy aspects of vehicle automation both on the federal and state level. Then, the state of the art in vehicle automation is provided. This includes sensor and actuator technology as well as the driver assistance technology in cars today. Finally, the technology currently being developed for future highly and fully automated vehicles is described, including a high-level introduction of the software and algorithms used as well as HMI and system aspects. Students are asking to work in groups on a current topic related to vehicle automation and present their findings in the final two classes in a short presentation.
Terms: Win
| Units: 1
| Repeatable
2 times
(up to 2 units total)
ME 302C:
The Future of the Automobile- Mobility Entrepreneurship
The objective of this course is to develop an understanding for the requirements that go into the design of a highly complex yet easy-to-use product, i.e. the automobile. Students will learn about very different interdisciplinary aspects that characterize the automobile and personal mobility. This is part of a multi-quarter seminar series, which build on one another but can be taken independently. This quarter, students will learn from 10 different founders / C-level executives about how they built their mobility startup to change the world of transportation. Previous classes included speakers from Tesla, Lyft, Pearl Auto, Turo, Nauto. In hearing these founder stories, students will get an insight not only into the world of entrepreneurship but also the multidisciplinary nature of the transportation industry. The course consists of 50-minute discussions with founders, with students encouraged to participate and ask questions of the founders. To obtain credit, students must attend 8 out of 10 classes including the first class.
Last offered: Spring 2020
| Units: 1
| Repeatable
2 times
(up to 2 units total)
ME 303:
Soft Composites and Soft Robotics (MATSCI 333)
Fundamentals of soft materials and soft composites in the aspects of mechanical characterization, polymer physics, mechanics, finite-element-analysis of large deformation, and advanced material fabrication including different 3D printing technologies. Stimuli-responsive soft composites for soft robotics and shape-morphing structures will be introduced. Examples such as material systems that respond to magnetic field, electrical field, pneumatic pressure, light, and heat will be discussed. Prerequisites: ME80
Terms: Aut
| Units: 3
ME 305:
Dynamics and Feedback Control of Living Systems (BIOE 305)
In this course, students will explore feedback control mechanisms that living organisms (cells) implement to execute their function. In addition, students will learn the basics of re-engineering feedback control systems in order for cells to execute new decision making behaviors. The focus will be on molecular level feedback control mechanisms for single cells with mention of cooperative feedback control for multicellular coordination as time permits. We will incorporate principles from Systems Biology, Control and Dynamical Systems Theory with Numerical and Stochastic Simulation. Basic biological mechanisms will be reviewed within the course to provide context and conceptual understanding. Ultimately, students with interest in control theoretic applications will learn how to use notions from control theory to accurately reason about cellular behavior.
Terms: Aut
| Units: 3
ME 306:
Engineering Design Theory in Practice
What is high performance in design? How could you improve your performance as a designer? Theories and frameworks from research into engineering design and design thinking are translated into action for developing insights into your design behavior and to develop strategies to improve design performance. Focus on performance in four aspects of design thinking: design as social activity, cognitive activity, physical activity and learning activity. Practice of effective team behaviors for concept generation, decision-making, and conflict-handling. Cognitive strategies from design as problem-solving, design as reflection-in-action, and C-K Theory. Prototyping performance improvements through media cascade and boundary object frameworks. Application of Perception-Action framework for improving self-learning in design. Students engage in multiple projects and a lab component.
Last offered: Winter 2018
| Units: 3
ME 308:
Carbon Dioxide and Methane Removal, Utilization, and Sequestration (EARTHSYS 308, ENERGY 308, ENVRES 295, ESS 308)
This is a seminar on carbon dioxide and methane removal, utilization, and sequestration options, and their role in decarbonizing the global energy system. This course will cover topics including the global carbon balance, utilizing atmospheric carbon in engineered solutions, recycling and sequestering fossil-based carbon, and enhancing natural carbon sinks. The multidisciplinary lectures and discussions will cover elements of technology, economics, policy and social acceptance, and will be led by a series of guest lecturers.
Terms: Aut
| Units: 1
ME 310A:
Global Engineering Design Thinking, Innovation, and Entrepreneurship
The ME310ABC sequence immerses students in a real-world, engineering design experience in the spirit of a Silicon Valley start-up, managing the uncertainty inherent in entrepreneurial design. Teams of Stanford graduate students often partner with similar teams at international universities for a global perspective. Design challenges are frequently at the human interface: to robots, transportation devices, manufacturing, or medical technologies (http://me310.stanford.edu). In ME310A teams integrate corporate and market context, user definitions and need-finding, research on competing technologies, and focused early prototyping to deliver a proposal for detailed design in ME310BC.
Terms: Aut
| Units: 4
ME 310B:
Global Engineering Design Thinking, Innovation, and Entrepreneurship
ME310BC is a two-quarter continuation of ME310 and typically requires ME310A as a prerequisite. In ME310B the focus is on detailed design and prototyping of novel components and systems, often re-framing the problem and identifying new user populations in light of new information. ME310C focuses on making the design credible from an engineering and business perspective. Teams perform user testing and explore pre-production manufacturing techniques to create their final prototypes. They present their solutions at the EXPE (http://expe.stanford.edu) and produce a report that documents not only the final solutions but also the alternatives considered. Final reports are archived in the Stanford Engineering Libraries: ME310 Project Based Engineering, Digital Collection.
Terms: Win
| Units: 4
ME 310C:
Global Engineering Design Thinking, Innovation, and Entrepreneurship
ME310BC is a two-quarter continuation of ME310 and typically requires ME310A as a prerequisite. In ME310B the focus is on detailed design and prototyping of novel components and systems, often re-framing the problem and identifying new user populations in light of new information. ME310C focuses on making the design credible from an engineering and business perspective. Teams perform user testing and explore pre-production manufacturing techniques to create their final prototypes. They present their solutions at the EXPE (http://expe.stanford.edu) and produce a report that documents not only the final solutions but also the alternatives considered. Final reports are archived in the Stanford Engineering Libraries: ME310 Project Based Engineering, Digital Collection.
Terms: Spr
| Units: 4-5
ME 311:
Leading Design Teams
This class teaches students how to be an effective design team leader using the construct of a multifunction new product development (NPD) team and conceptually places students as the leader of a NPD team - the Product Manager. Topics include leadership self-awareness, a review of various leadership styles and skills in diagnosing team dynamics. The understanding and motivation of non-design engineering members of an NPD team (i.e., Sales, Marketing, Finance, HR) will be explored. Classroom activity will include interactive discussion of case studies, hands-on practice of skills, simulations, outside speakers and team presentations. Homework will include case study and source material reading, weekly reflection journals and outside research. A summary presentation of a leadership exemplar will serve as the final exam.
Last offered: Winter 2021
| Units: 3
ME 312:
Communication in Design
Communication of design information, ideas, and concepts is central to successful design projects. In this course you will learn about various forms of communication and when/how to apply them in the design process. Topics covered include: structuring communication, selecting key points to communicate, communicating technical information to a non-technical audience. Approaches include: videography, presentations, public speaking. Visual approaches: sketching, storyboarding, journey maps, figures and charts. This course does not cover within-team communication.
Last offered: Spring 2019
| Units: 3
ME 313:
Human Values and Innovation in Design
Introduction to the philosophy and practice of the Design Impact program. Hands-on design projects are used as vehicles for learning design thinking's tools and methodology. The relationships among technical, human, aesthetic, and business concerns, and drawing, prototyping, and story-telling a will be explored. The focus is on design thinking process and mindsets including: empathy, point of view, ideation, prototyping and testing. For master's students in the Design Impact program only. For a general introduction to design thinking, see ME 377: Design Thinking Studio, taught Autumn and Winter quarters.
Last offered: Autumn 2020
| Units: 3
ME 315:
The Designer in Society (DESIGN 315)
This class focuses on individuals and their psychological wellbeing. The class delves into how students perceive themselves and their work, and how they might use design thinking to lead a more creative and committed life. As a participant you read parts of a different book each week and then engage in exercises designed to unlock learnings. In addition, there are two self-selected term projects dealing with eliminating a problem from your life and doing something you have never done before. Apply the first day during class. Attendance at the first session is mandatory.
Terms: Win
| Units: 3
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. ME 203 or consent of instructor.
Terms: Aut, Win, Spr
| Units: 3-4
ME 319:
Topics in Multi-Limbed Manipulation
Course covers fundamental topics in manipulation with fingers or locomotion with multiple legs. Starting topics include: mobility, manipulability, contact kinematics, force closure, nonholonomic constraints. We branch into topics based on student interest such as automated grasp choice, quasistatic sliding manipulation, locomotion with friction or adhesion. Students will have one or two readings each week and will meet with instructor to prepare leading the discussion and developing exercises for the next week. Exercises can be numerical or symbolic.
Last offered: Winter 2020
| Units: 3
ME 320:
Introduction to Robotics (CS 223A)
Robotics foundations in modeling, design, planning, and control. Class covers relevant results from geometry, kinematics, statics, dynamics, motion planning, and control, providing the basic methodologies and tools in robotics research and applications. Concepts and models are illustrated through physical robot platforms, interactive robot simulations, and video segments relevant to historical research developments or to emerging application areas in the field. Recommended: matrix algebra.
Terms: Win
| Units: 3
ME 321:
Optofluidics: Interplay of Light and Fluids at the Micro and Nanoscale
Many optical systems in biology have sophisticated designs with functions that conventional optics cannot achieve: no synthetic materials, for example, can provide the camouflage capability exhibited by some animals. This course overviews recent efforts--some inspired by examples in biology--in using fluids, soft materials and nanostructures to create new functions in optics. Topics include electrowetting lenses, electronic inks, colloidal photonic crystals, bioinspired optical nanostructures, nanophotonic biosensors, lens-less optofluidic microscopes. The use of optics to control fluids is also discussed: optoelectronic tweezers, particle trapping and transport, microrheology, optofluidic sorters, fabrication and self-assembly of novel micro and nanostructures.
Last offered: Spring 2020
| Units: 3
ME 322:
Kinematic Synthesis of Mechanisms
The rational design of linkages. Techniques to determine linkage proportions to fulfill design requirements using analytical, graphical, and computer based methods.
Last offered: Winter 2022
| Units: 3
ME 323:
Advanced Robotic Manipulation (CS 327A)
Advanced control methodologies and novel design techniques for complex human-like robotic and bio mechanical systems. Class covers the fundamentals in operational space dynamics and control, elastic planning, human motion synthesis. Topics include redundancy, inertial properties, haptics, simulation, robot cooperation, mobile manipulation, human-friendly robot design, humanoids and whole-body control. Additional topcs in emerging areas are presented by groups of students at the end-of-quarter mini-symposium. Prerequisites: 223A or equivalent.
Terms: Spr
| Units: 3
ME 324:
Precision Engineering
Concepts and tactics for the design of precision machines including flexures, kinematic design, actuators, sensors, vibration isolation, athermalization and metrology. Hands-on, project based class. Prerequisites ME 103, 203.
Terms: Spr
| Units: 4
ME 325:
Making Multiples: Injection Molding
Design course focusing on the process of injection molding as a prototyping and manufacturing tool. Coursework will include creating and evaluating initial design concepts, detailed part design, mold design, mold manufacturing, molding parts, and testing and evaluating the results. Students will work primarily on individually selected projects, using each project as a tool to continue developing and exercising individual design process. Lectures and field trips will provide students with context for their work in the Stanford Product Realization Lab. Prerequisite: ME318 or consent of instructors.
Terms: Aut, Win, Spr
| Units: 3
ME 326:
Collaborative Robotics (CS 339R)
This course focuses on how robots can be effective teammates with other robots and human partners. Concepts and tools will be reviewed for characterizing task objectives, robot perception and control, teammate behavioral modeling, inter-agent communication, and team consensus. We will consider the application of these tools to robot collaborators, wearable robotics, and the latest applications in the relevant literature. This will be a project-based graduate course, with the implementation of algorithms in either python or C++.
Terms: Win
| Units: 3
ME 327:
Design and Control of Haptic Systems
Study of the design and control of haptic systems, which provide touch feedback to human users interacting with virtual environments and teleoperated robots. Focus is on device modeling (kinematics and dynamics), synthesis and analysis of control systems, design and implementation, and human interaction with haptic systems. Coursework includes homework/laboratory assignments and a hands-on project. Directed toward undergraduate and graduate students in engineering and computer science. Prerequisites: dynamic systems, feedback controls, and MATLAB programming.
Terms: Spr
| Units: 3
ME 328:
Medical Robotics
Study of the design and control of robots for medical applications. Focus is on robotics in surgery and interventional radiology, with introduction to other healthcare robots. Delivery is through instructor lectures and weekly guest speakers. Coursework includes homework and laboratory assignments, an exam, and a research-oriented project. Directed toward graduate students and advanced undergraduates in engineering and computer science; no medical background required. Prerequisites: dynamic systems and MATLAB programming. Suggested experience with C/C++ programming, feedback control design, and linear systems. Cannot be taken concurrently with CS 571.
Last offered: Winter 2019
| Units: 3
ME 329:
Mechanical Analysis in Design
This project based course will cover the application of engineering analysis methods learned in the Mechanics and Finite Element series to real world problems involving the mechanical analysis of a proposed device or process. Students work in teams, and each team has the goal of solving a problem defined jointly with a sponsoring company or research group. Each team will be mentored by a faculty mentor and a mentor from the sponsoring organization. The students will gain experience in the formation of project teams; interdisciplinary communication skills; intellectual property; and project management. Course has limited enrollment.
Terms: Spr
| Units: 3
ME 330:
Advanced Kinematics
Kinematics from mathematical viewpoints. Introduction to algebraic geometry of point, line, and plane elements. Emphasis is on basic theories which have potential application to mechanical linkages, computational geometry, and robotics.
Last offered: Winter 2023
| Units: 3
ME 331A:
Advanced Dynamics & Computation
Newton, Euler, D'Alembert (road-map) methods and computational tools for 3D kinematic, force, and motion analysis of multibody systems. Power, work, and energy. Computational solutions of nonlinear algebraic and differential equations governing the static and dynamic behavior of multibody systems.
Terms: Win
| Units: 3
ME 331B:
Advanced Dynamics, Simulation & Control
Advanced methods and computational tools for the efficient formulation of equations of motion for multibody systems. Lagrange, D'Alembert, and Kane's methods for systems with constraints. Simple-to-complex modeling, analysis, and design (via vehicle dynamics). Quaternions. Advanced control techniques (e.g., feed-forward control). Team-based computational multibody lab project (e.g., vehicle dynamics, biomechanics, robotics, aerospace, alternative energy).
Terms: Spr
| Units: 3
ME 334:
Advanced Dynamics, Modeling and Analysis
Modeling and analysis of dynamical systems. This class will cover reference frames and coordinate systems, kinematics and constraints, mass distribution, virtual work, D'Alembert's principle, Lagrange, and Hamiltonian equations of motion. We will then consider select topics in controls and machine learning that utilize dynamics concepts. Students will learn and apply these concepts through homework and projects involving dynamic systems simulation. Prerequisites: ENGR15, CME 104, ENGR 154 or equivalent, Recommended: Linear Algebra ( EE 263, Math 113, CME 302 or equivalent), Partial Differential Equations ( Math 131P or equivalent).
Terms: Spr
| Units: 3
| Repeatable
2 times
(up to 6 units total)
ME 335A:
Finite Element Analysis
Fundamental concepts and techniques of primal finite element methods. Method of weighted residuals, Galerkin's method and variational equations. Linear eliptic boundary value problems in one, two and three space dimensions; applications in structural, solid and fluid mechanics and heat transfer. Properties of standard element families and numerically integrated elements. Implementation of the finite element method using Matlab, assembly of equations, and element routines. Lagrange multiplier and penalty methods for treatment of constraints. The mathematical theory of finite elements.
Terms: Win
| Units: 3
ME 335B:
Finite Element Analysis
Finite element methods for linear dynamic analysis. Eigenvalue, parabolic, and hyperbolic problems. Mathematical properties of semi-discrete (t-continuous) Galerkin approximations. Modal decomposition and direct spectral truncation techniques. Stability, consistency, convergence, and accuracy of ordinary differential equation solvers. Asymptotic stability, over-shoot, and conservation laws for discrete algorithms. Mass reduction. Applications in heat conduction, structural vibrations, and elastic wave propagation. Computer implementation of finite element methods in linear dynamics. Implicit, explicit, and implicit-explicit algorithms and code architectures.
Last offered: Summer 2019
| Units: 3
ME 335C:
Finite Element Analysis
Newton's method for nonlinear problems; convergence, limit points and bifurcation; consistent linearization of nonlinear variational forms by directional derivative; tangent operator and residual vector; variational formulation and finite element discretization of nonlinear boundary value problems (e.g. nonlinear heat equation, nonlinear elasticity); enhancements of Newton's method: line-search techniques, quasi-Newton and arc-length methods.
Last offered: Summer 2017
| Units: 3
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.
Last offered: Winter 2023
| Units: 3
ME 337:
Mechanics of Growth
Growth is a distinguishing feature of all living things. This course introduces the concept of living systems through the lens of mechanics. We discuss the basic continuum theory for living systems including the kinematics, balance equations, and constitutive equations and the computational modeling of growth phenomena including growing plants, remodeling bone, healing wounds, growing tumors, atherosclerosis, expanding skin, failing hearts, developing brains, and the effects of high performance training.
Last offered: Winter 2019
| Units: 3
ME 338:
Continuum Mechanics
Introduction to vectors and tensors: kinematics, deformation, forces, and stress concept of continua; balance principles; aspects of objectivity; hyperelastic materials; thermodynamics of materials; variational principles.
Terms: Spr
| Units: 3
ME 339:
Introduction to parallel computing using MPI, openMP, and CUDA (CME 213)
This class will give hands-on experience with programming multicore processors, graphics processing units (GPU), and parallel computers. The focus will be on the message passing interface (MPI, parallel clusters) and the compute unified device architecture (CUDA, GPU). Topics will include multithreaded programs, GPU computing, computer cluster programming, C++ threads, OpenMP, CUDA, and MPI. Pre-requisites include C++, templates, debugging, UNIX, makefile, numerical algorithms (differential equations, linear algebra).
Terms: Spr
| Units: 3
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 Green¿s 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: Spr
| Units: 3
ME 342A:
Mechanobiology and Biofabrication Methods (BIOE 342A, BIOPHYS 342A)
Cell mechanobiology topics including cell structure, mechanical models, and chemo-mechanical signaling. Review and apply methods for controlling and analyzing the biomechanics of cells using traction force microscopy, AFM, micropatterning and cell stimulation. Practice and theory for the design and application of methods for quantitative cell mechanobiology.
Last offered: Winter 2018
| Units: 3
ME 343:
Machine Learning for Computational Engineering. (CME 216)
Linear and kernel support vector machines, deep learning, deep neural networks, generative adversarial networks, physics-based machine learning, forward and reverse mode automatic differentiation, optimization algorithms for machine learning, TensorFlow, PyTorch.
Terms: Win
| Units: 3
ME 344:
Introduction to High Performance Computing
High performance computing (HPC) is a field at the forefront of a range of high tech applications such as computational fluid dynamics, image processing, and financial risk management. With the demands of machine learning outstripping conventional computing, HPC is also at the forefront of artificial intelligence. This course will discuss how HPC clusters are used in large-scale problems in academia and industry alike. Students will learn about HPC clusters from the ground up and gain a solid foundation in parallel computer architectures, cluster operating systems, resource management, and containers. They will build their own systems via remote installation of physical hardware, configuration and optimization of a high-speed network, and integration of other technologies used throughout the HPC world. Classes consist of lectures reinforced with assignments on HPC systems located in a teaching laboratory, where discussion and collaboration will be key components of the course. Students will come away with a solid skill set in a field of computing that has broad implications for science and technology.
Terms: Sum
| Units: 1
ME 344S:
HPC-AI Summer Seminar Series
Get ready to explore the future of high-performance computing (HPC) and artificial intelligence (AI) and its influence on the way we live, work and learn, with the HPC-AI Summer Seminar Series by Stanford High Performance Computing Center and the HPC-AI Advisory Council. This 1-unit course is designed to provide practical insights and thought leadership and discuss topics of great societal importance. One such theme this year is the impact of Generative AI. You will have the opportunity to hear from renowned industry experts and influencers who are shaping our HPC-AI future and even ask them your questions. This engaging course is open to students with any academic background looking to upskill themselves. So don't hesitate, register now! No prerequisites required.
Terms: Sum
| Units: 1
ME 345:
Fatigue Design and Analysis
The mechanism and occurrences of fatigue of materials. Methods for predicting fatigue life and for protecting against premature fatigue failure. Use of elastic stress and elastic-plastic strain analyses to predict crack initiation life. Use of linear elastic fracture mechanics to predict crack propagation life. Effects of stress concentrations, manufacturing processes, load sequence, irregular loading, multi-axial loading. Subject is treated from the viewpoints of the engineer seeking up-to-date methods of life prediction and the researcher interested in improving understanding of fatigue behavior. Prerequisite: undergraduate mechanics of materials.
Last offered: Winter 2023
| Units: 3
ME 346A:
Introduction to Statistical Mechanics
The main purpose of this course is to provide students with enough statistical mechanics background to the Molecular Simulations classes (ME 346B,C), including the fundamental concepts such as ensemble, entropy, and free energy, etc. The main theme of this course is how the laws at the macroscale (thermodynamics) can be obtained by analyzing the spontaneous fluctuations at the microscale (dynamics of molecules). Topics include thermodynamics, probability theory, information entropy, statistical ensembles, phase transition and phase equilibrium. Recommended: PHYSICS 110 or equivalent.
Last offered: Winter 2022
| Units: 3
ME 346B:
Introduction to Molecular Simulations
Algorithms of molecular simulations and underlying theories. Molecular dynamics, time integrators, modeling thermodynamic ensembles (NPT, NVT). Monte Carlo simulations. Applications in solids, liquids, polymers, phase transitions, and combination with machine learning tools. Examples provided in easy-to-use Python Notebooks. Final projects.
Last offered: Spring 2021
| Units: 3
ME 346C:
Advanced Techniques for Molecular Simulations
Advanced methods for computer simulations of solids and molecules. Methods for long-range force calculation, including Ewald methods and fast multipole method. Methods for free energy calculation, such as thermodynamic integration. Methods for predicting rates of rare events (e.g. nucleation), including nudged elastic band method and umbrella sampling method. Students will work on projects in teams.
Last offered: Summer 2020
| Units: 3
ME 349:
The Science and the Practice of Metal 3D Printing
Physical and metallurgical principles involved in metal 3D printing: laser types and optics, light interaction with matter, melt pool dynamics, solidification and microstructure generation. Engineering practice: powder preparation, part characterization, material printing strategy exploration, simulation tools for innovative designs and process physical modeling. Some of the lectures will be delivered by leading experts in industry to highlight current challenges and opportunities. Students design, prepare and print a part in the laboratory part of the class. Prerequisite: an UG degree in ME or Materials Science.
Last offered: Winter 2023
| Units: 3-4
ME 350:
Plasma Science and Technology Seminar (AA 296)
Guest speakers present research related to plasma science and engineering, ranging from fundamental plasma physics to industrial applications of plasma.
Terms: Aut, Win, Spr
| Units: 1
| Repeatable
for credit
(up to 99 units total)
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
ME 351B:
Fluid Mechanics
Laminar viscous fluid flow. Governing equations, boundary conditions, and constitutive laws. Exact solutions for parallel flows. Creeping flow limit, lubrication theory, and boundary layer theory including free-shear layers and approximate methods of solution; boundary layer separation. Introduction to stability theory and transition to turbulence, and turbulent boundary layers. Prerequisite: 351A.
Terms: Win
| Units: 3
ME 352A:
Radiative Heat Transfer
The fundamentals of thermal radiation heat transfer; blackbody radiation laws; radiative properties of non-black surfaces; analysis of radiative exchange between surfaces and in enclosures; combined radiation, conduction, and convection; radiative transfer in absorbing, emitting, and scattering media. Advanced material for students with interests in heat transfer, as applied in high-temperature energy conversion systems. Take 352B,C for depth in heat transfer. Prerequisites: graduate standing and undergraduate course in heat transfer. Recommended: computer skills.
Last offered: Autumn 2018
| Units: 3
ME 352B:
Fundamentals of Heat Conduction
Physical description of heat conduction in solids, liquids, and gases. The heat diffusion equation and its solution using analytical and numerical techniques. Data and microscopic models for the thermal conductivity of solids, liquids, and gases, and for the thermal resistance at solid-solid and solid-liquid boundaries. Introduction to the kinetic theory of heat transport, focusing on applications for composite materials, semiconductor devices, micromachined sensors and actuators, and rarefied gases. Prerequisite: consent of instructor.
Last offered: Winter 2020
| Units: 3
ME 352C:
Convective Heat Transfer
Prediction of heat and mass transfer rates based on analytical and numerical solutions of the governing partial differential equations. Heat transfer in fully developed pipe and channel flow, pipe entrance flow, laminar boundary layers, and turbulent boundary layers. Superposition methods for handling non-uniform wall boundary conditions. Approximate models for turbulent flows. Comparison of exact and approximate analyses to modern experimental results. General introduction to heat transfer in complex flows. Prerequisite: 351A or equivalent.
Last offered: Spring 2022
| Units: 3
ME 352D:
Nanoscale heat, mass and charge transport
Fundamentals of heat, mass and charge transport in solids, liquids and gases. Emphasis on the origins of the properties of matter. Translation of scientific understanding to design and predict the behavior of novel engineering devices and systems that span semiconductors, biotechnology, energy and the environment.
Last offered: Spring 2021
| Units: 3
ME 354:
Experimental Methods in Fluid Mechanics
Experimental methods associated with the interfacing of laboratory instruments, experimental control, sampling strategies, data analysis, and introductory image processing. Instrumentation including point-wise anemometers and particle image tracking systems. Lab. Prerequisites: previous experience with computer programming and consent of instructor. Limited enrollment.
Terms: Spr
| Units: 3
ME 355:
Compressible Flow
Topics include quasi-one-dimensional isentropic flow in variable area ducts, normal shock waves, oblique shock and expansion waves, flow in ducts with friction and heat transfer, unsteady one-dimensional flow, and steady two-dimensional supersonic flow.
Last offered: Spring 2023
| Units: 3
ME 356:
Hypersonic Aerothermodynamics
History of hypersonic flight technology. Inviscid hypersonic flows. Rankine-Hugoniot shock-jump relations at high Mach numbers. Newtonian approximation. Small-disturbance equations for hypersonic aerodynamics. Mach-number independence. Hypersonic similarity. Hypersonic boundary layers and viscous interactions. Aerodynamic heating. Self-similar solutions and analogies. Shock-shock interactions and shock-interference heating. Reentry aerothermodynamics. Effects of the entropy layer. Ablation shields. Thermodynamic and chemical nonequilibrium effects in hypersonics. Transition in hypersonic boundary layers. Effects of incident shock waves. Modern computational developments in hypersonics. Engineering applications of hypersonics in aeronautics and astronautics.
Last offered: Spring 2021
| Units: 3
ME 357:
Gas-Turbine Design Analysis (ME 257)
This course is concerned with the design analysis of gas-turbine engines. After reviewing essential concepts of thermo- and aerodynamics, we consider a turbofan gas-turbine engine that is representative of a business aircraft. We will first conduct a performance analysis to match the engine design with aircraft performance requirements. This is followed by examining individual engine components, including compressor, combustor, turbines, and nozzles, thereby increase the level of physical description. Aspects of modern engine concepts, environmental impacts, and advanced engine-analysis methods will be discussed. Students will have the opportunity to develop a simulation code to perform a basic design analysis of a turbofan engine. Course Prerequisites: ENGR 30, ME 70, ME 131B, CME 100
Terms: Spr
| Units: 3
ME 361:
Turbulence
The nature of turbulent flows, statistical and spectral description of turbulence, coherent structures, spatial and temporal scales of turbulent flows. Averaging, two-point correlations and governing equations. Reynolds averaged equations and stresses. Free shear flows, turbulent jet, turbulent kinetic energy and kinetic energy dissipation, and kinetic energy budget. Kolmogorov's hypothesis and energy spectrum. Wall bounded flows, viscous scales, and law of the wall. Turbulence closure modeling for Reynolds averaged Navier Stokes equations. Direct and large eddy simulation of turbulent flows. Subgrid scale modeling. ME300B recommended.
Terms: Spr
| Units: 3
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
ME 362B:
Nonequilibrium Processes in High-Temperature Gases
Chemical kinetics and energy transfer in high-temperature gases. Collision theory, transition state theory, and unimolecular reaction theory. Prerequisie: 362A or consent of instructor.
Last offered: Winter 2023
| Units: 3
ME 362C:
Rarefied and Ionized Gases (AA 205)
Compressible, viscous, rarefied, and ionized gas flow models derived from kinetic theory, quantum mechanics, and statistical mechanics. Equilibrium properties and non-equilibrium processes via collisions and radiation. Monte Carlo collision models for non-equilibrium gas dynamics and partially ionized plasmas. Prerequisite: undergraduate courses in fluid mechanics and thermodynamics, ME 362A recommended but not required.
Last offered: Winter 2021
| Units: 3
ME 363:
Partially Ionized Plasmas and Gas Discharges
Introduction to partially ionized gases and the nature of gas discharges. Topics: the fundamentals of plasma physics emphasizing collisional and radiative processes, electron and ion transport, ohmic dissipation, oscillations and waves, interaction of electromagnetic waves with plasmas. Applications: plasma diagnostics, plasma propulsion and materials processing. Prerequisite: 362A or consent of instructor.
Last offered: Spring 2021
| Units: 3
ME 364:
Optical Diagnostics and Spectroscopy
The spectroscopy of gases and laser-based diagnostic techniques for measurements of species concentrations, temperature, density, and other flow field properties. Topics: electronic, vibrational, and rotational transitions; spectral lineshapes and broadening mechanisms; absorption, fluorescence, Rayleigh and Raman scattering methods; collisional quenching. Prerequisite: 362A or equivalent.
Terms: Win
| Units: 3
ME 365:
Making Multiples: Sand Casting
ME 365 is a product realization based course integrating designing and making with a focus on a scaled manufacturing process, sand casting. It's graduates will develop technical knowledge regarding design principles, tooling design and creation, mold making, and process parameters. This goal will be achieved by a sequence of three hands-on design and manufacturing projects, supported by lectures, curricular materials, and structured laboratories, and portfolio generation. Prerequisites: ME203, ME318, OR consent of instructor.
Last offered: Spring 2020
| Units: 4
ME 366:
Light and Plasma (PHOTON 366)
An introduction to the science and applications of laser-plasma interactions. The first part of the course will discuss the fundamental concepts and analytic, computational, and experimental tools for understanding the linear and nonlinear propagation of light in plasma, including dispersion relations, ionization and absorption mechanisms, stimulated scattering and light-driven waves, and relativistic optics. The second part of the course will use these tools to understand a variety of existing and under-development applications of laser-plasma interactions and high-power beams, including EUV lithography, laser diagnostics, directed energy, laser-wakefield accelerators, laboratory astrophysics, and inertial confinement fusion.Previous coursework in plasma physics, optics, or electromagnetism, or discussion with the instructor, is recommended.
Terms: Win
| Units: 3
ME 367:
Optical Diagnostics and Spectroscopy Laboratory
Principles, procedures, and instrumentation associated with optical measurements in gases and plasmas. Absorption, fluorescence and emission, and light-scattering methods. Measurements of temperature, species concentration, and molecular properties. Lab. Enrollment limited to 16. Prerequisite: 362A or 364.
Terms: Spr
| Units: 4
ME 368:
Leadership Lab (DESIGN 368, MS&E 489)
The Leadership Lab (previously known as d.Leadership) is a one-of-a-kind hands-on leadership course. This course bridges leadership research and principles with real-world application, offering a unique opportunity to grasp not only the theory but also the practical application of leadership. Real Application: Embrace a dynamic learning environment where theory meets practice. You will apply a wide range of leadership capabilities and skills within real, live teams and environments - all with instruction along the way. Experiment with your Leadership Style: We believe your leadership style is something you must prototype and iterate throughout your life. This course creates a safe environment where you can practice new leadership techniques without worrying about your reputation or next performance review in a real work environment. As you practice new techniques, you will undoubtedly experience highs and lows and most importantly refine your own leadership point of view. Key Topic Areas: Leveraging Failure and Learning to Pivot; Leading with Influence in the Absence of Authority; Framing Projects with Purpose in Order to Drive Momentum; and Subtracting Friction in Organizational Change. By the end of this course, you will have enhanced and transformed your leadership capabilities, found your natural strengths, enhanced them, and explored new horizons. Join us and experience a leadership journey that is both inspiring and hands-on. Preference to graduate students and students who have previously taken MS&E 280 or equivalent (not a prerequisite). Reach out to the teaching team with questions. Admission by Application https://forms.gle/B4sFZxjTaN4fFvRQ9 due 5pm on March 22, 2024.
| Units: 3-4
ME 368A:
Biodesign Innovation: Needs Finding and Concept Creation (BIOE 374A, MED 272A)
In this two-quarter course series ( BIOE 374A/B, MED 272A/B, ME 368A/B, OIT 384/5), multidisciplinary student teams identify real-world unmet healthcare needs, invent new health technologies to address them, and plan for their implementation into patient care. During the first quarter (winter), students select and characterize an important unmet healthcare problem, validate it through primary interviews and secondary research, and then brainstorm and screen initial technology-based solutions. In the second quarter (spring), teams select a lead solution and move it toward the market through prototyping, technical re-risking, strategies to address healthcare-specific requirements (regulation, reimbursement), and business planning. Final presentations in winter and spring are made to a panel of prominent health technology experts and/or investors. Class sessions include faculty-led instruction and case studies, coaching sessions by industry specialists, expert guest lecturers, and interactive team meetings. Enrollment is by application only, and students are required to participate in both quarters of the course. Visit http://biodesign.stanford.edu/programs/stanford-courses/biodesign-innovation.html to access the application, examples of past projects, and student testimonials. More information about Stanford Biodesign, which has led to the creation of 50 venture-backed healthcare companies and has helped hundreds of student launch health technology careers, can be found at http://biodesign.stanford.edu/.
Terms: Win
| Units: 4
ME 368B:
Biodesign Innovation: Concept Development and Implementation (BIOE 374B, MED 272B)
In this two-quarter course, multidisciplinary teams identify real unmet healthcare needs, invent health technologies to address them, and plan for their implementation into patient care. In second quarter, teams select a lead solution to advance through technical prototyping, strategies to address healthcare-specific requirements (IP, regulation, reimbursement), and business planning. Class sessions include faculty-led instruction, case studies, coaching sessions by experts, guest lecturers, and interactive team meetings. Enrollment is by application. Students are required to take both quarters of the course.
Terms: Spr
| Units: 4
| Repeatable
2 times
(up to 8 units total)
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 370B:
Energy Systems II: Modeling and Advanced Concepts
Development of quantitative device models for complex energy systems, including fuel cells, reformers, combustion engines, and electrolyzers, using thermodynamic and transport analysis. Student groups work on energy systems to develop conceptual understanding, and high-level, quantitative and refined models. Advanced topics in thermodynamics and special topics associated with devices under study. Prerequisite: 370A.
Terms: Win
| Units: 4
ME 370C:
Energy Systems III: Projects
Refinement and calibration of energy system models generated in ME 370B carrying the models to maturity and completion. Integration of device models into a larger model of energy systems. Prerequisites: 370A,B, consent of instructor.
Last offered: Spring 2021
| Units: 3-5
ME 371:
Combustion Fundamentals
Heat of reaction, adiabatic flame temperature, and chemical composition of products of combustion; kinetics of combustion and pollutant formation reactions; conservation equations for multi-component reacting flows; propagation of laminar premixed flames and detonations. Prerequisite: 362A or 370A, or consent of instructor.
Terms: Win
| Units: 3
ME 372:
Combustion Applications
The role of chemical and physical processes in combustion; ignition, flammability, and quenching of combustible gas mixtures; premixed turbulent flames; laminar and turbulent diffusion flames; combustion of fuel droplets and sprays. Prerequisite: 371.
Last offered: Spring 2023
| Units: 3
ME 373:
Nanomaterials Synthesis and Applications for Mechanical Engineers
This course provides an introduction to both combustion synthesis of functional nanomaterials and nanotechnology. The first part of the course will introduce basic principles, synthesis/fabrication techniques and application of nanoscience and nanotechnology. The second part of the course will discuss combustion synthesis of nanostructures in zero-, one- two- and three- dimensions, their characterization methods, physical and chemical properties, and applications in energy conversion systems.
Last offered: Winter 2020
| Units: 3
ME 374:
Dynamics and Kinetics of Nanoparticles
Part 1: Thermodynamics, transport theories and properties, aerosol dynamics and reaction kinetics of nanoparticles in fluids. Nucleation, gas kinetic theory of nanoparticles, the Smoluchowski equation, gas-surface reactions, diffusion, thermophoresis, conservation equations and useful solutions. Part 2: Introduction to soot formation, nanoparticles in reacting flows, particle transport and kinetics in flames, atmospheric heterogenous reactions, and nanocatalysis.
Terms: Spr
| Units: 3
ME 375:
Wildfire Science
Wildfires are unplanned fires that burn in natural areas, such as forests, grasslands, shrublands, and other environments such as wildland-urban interface. While wildfires have been a natural part of our ecosystem, they can threaten livelihood and properties and impact environment and health. The severity and frequency of large wildfires in the United States have increased significantly over the past decades. This is largely attributed to human-caused climate change, increased human population in wildland-urban interface, and changes in fire-management policy. This surge in wildfire activity has resulted in substantial increase in burn area, pollutant and smoke emissions, and associated health effects. This course introduces students to the science of wildland fires, with a specific focus on the physics and quantitative understanding of wildfire behavior, environment impact, and fire management. Starting with the fundamentals of combustion and heat transfer, we will examine effects of wildfire behavior, fire propagation and the transition to extreme-fire events that are driven by atmospheric interaction. The second part of this course is concerned with the modeling and prediction of wildfires. To address deficiencies in the detailed understanding of fire-physics, we will examine recent developments of data-driven methods and their use for fuels characterization, fire detection, fire-risk assessment, and fire behavior predictions. As part of a series of homework assignments and projects, students will have the opportunity to analyze observational data, develop physical models, and examine different wildfire scenarios.
Terms: Spr
| 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.
Last offered: Winter 2021
| Units: 4
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
ME 381:
Orthopaedic Bioengineering (BIOE 381)
Engineering approaches applied to the musculoskeletal system in the context of surgical and medical care. Fundamental anatomy and physiology. Material and structural characteristics of hard and soft connective tissues and organ systems, and the role of mechanics in normal development and pathogenesis. Engineering methods used in the evaluation and planning of orthopaedic procedures, surgery, and devices. Open to graduate students and undergraduate seniors.
Terms: Spr
| Units: 3
ME 389:
Biomechanical Research Symposium
Guest speakers present contemporary research on experimental and theoretical aspects of biomechanical engineering and bioengineering. May be repeated for credit.
Terms: Spr
| Units: 1
| Repeatable
for credit
ME 390A:
Thermofluids, Energy, and Propulsion Research Seminar
Review of work in a particular research program and presentations of other related work.
Terms: Aut, Spr
| Units: 1
| Repeatable
for credit
(up to 99 units total)
ME 391:
Engineering Problems
Directed study for graduate engineering students on subjects of mutual interest to student and staff member. May be used to prepare for experimental research during a later quarter under 392. Faculty sponsor required.
Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit
Instructors: ;
Aquino Shluzas, L. (PI);
Boslough, A. (PI);
Burnett, W. (PI);
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Currano, R. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Davies, K. (PI);
Delp, S. (PI);
Edelman, J. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Feig, V. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Jaffe, D. (PI);
Karanian, B. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kohn, M. (PI);
Kuhl, E. (PI);
Larson, N. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Liu, D. (PI);
Mabogunje, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Milroy, J. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Rajagopal, R. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Sather, A. (PI);
Shaqfeh, E. (PI);
Shaughnessy, S. (PI);
Sheppard, S. (PI);
Sirkin, D. (PI);
Somen, D. (PI);
Switky, A. (PI);
Tang, S. (PI);
Venkatesh, U. (PI);
Wang, H. (PI);
Webb, S. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 392:
Experimental Investigation of Engineering Problems
Graduate engineering students undertake experimental investigation under guidance of staff member. Previous work under 391 may be required to provide background for experimental program. Faculty sponsor required.
Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit
Instructors: ;
Aquino Shluzas, L. (PI);
Bao, Z. (PI);
Bohg, J. (PI);
Boslough, A. (PI);
Cai, W. (PI);
Cappelli, M. (PI);
Cargnello, M. (PI);
Chaudhuri, O. (PI);
Chu, S. (PI);
Collins, S. (PI);
Currano, R. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Dauskardt, R. (PI);
DeSimone, J. (PI);
Delp, S. (PI);
Dresselhaus-Marais, L. (PI);
Edelman, J. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Feig, V. (PI);
Follmer, S. (PI);
Fuller, G. (PI);
Gerdes, J. (PI);
Glenzer, S. (PI);
Gold, G. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Hong, G. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lai, C. (PI);
Larson, N. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Mabogunje, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Marsden, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Milroy, J. (PI);
Moin, P. (PI);
Nelson, D. (PI);
O'Neill, M. (PI);
Okamura, A. (PI);
Pavone, M. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Sakovsky, M. (PI);
Santiago, J. (PI);
Sather, A. (PI);
Schar, M. (PI);
Shaqfeh, E. (PI);
Shaughnessy, S. (PI);
Sheppard, S. (PI);
Sirkin, D. (PI);
Somen, D. (PI);
Suckale, J. (PI);
Switky, A. (PI);
Tang, S. (PI);
Tarpeh, W. (PI);
Tartakovsky, D. (PI);
Wall, D. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI);
Misquez, E. (GP)
ME 393:
Master's Directed Research
Directed research experience for MS students in mechanical engineering who are pursuing the Distinction in Research (DiR). The student is responsible for securing a faculty research advisor and will register under that advisor's section number. Students must provide confirmation of faculty research advisor's agreement to supervise DiR, at which time they will receive a permission code from ME Student Services allowing them to enroll. Course may be repeated for credit.
Terms: Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, M. (PI);
Feig, V. (PI);
Follmer, S. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Larson, N. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 393W:
Master's Directed Research: Writing the Report
This course is for MS students in mechanical engineering who are finishing up their Distinction in Research (DiR) and focusing on the writing of their technical report. Faculty supervision is required and students will register under their advisor's section number. Permission codes apply and can be obtained from ME Student Services. Technical report should be read and signed off by advisor no later than two weeks prior to the end of the quarter in which an MS-DiR student plans to confer their degree.
Terms: Sum
| Units: 3
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, M. (PI);
Feig, V. (PI);
Follmer, S. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Larson, N. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 395:
Seminar in Solid Mechanics
Required of Ph.D. candidates in solid mechanics. Guest speakers present research topics related to mechanics theory, computational methods, and applications in science and engineering. May be repeated for credit.
Terms: Aut, Win, Spr
| Units: 1
| Repeatable
for credit
ME 397:
Design Research Theory and Methodology Seminar
This is a participatory graduate seminar that offers graduate students hands-on support in developing their design research methodology skills, including study formation and analysis plan, quantitative and qualitative methods, lab and field experiment design, self-report data collection and analysis, and other skills necessary to do quality research. Students interested in honing their human-subject research skills are encouraged to attend. Students bring their own current and/or future projects to discuss and develop with fellow students and instructors.
Terms: Spr
| Units: 1
| Repeatable
for credit
ME 398:
Ph.D. Research Rotation
Directed research experience for first-year Mechanical Engineering Ph.D. students with faculty sponsors. The student is responsible for arranging the faculty sponsor and registering under the faculty sponsor's section number. Course may be repeated up to four times in the first year. A different faculty sponsor must be selected each time.
Terms: Aut, Win, Spr, Sum
| Units: 1-4
| Repeatable
4 times
(up to 16 units total)
Instructors: ;
Bao, Z. (PI);
Cai, W. (PI);
Camarillo, D. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Chu, S. (PI);
Clark, S. (PI);
Coleman, T. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delitto, D. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Fischer, M. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Heilshorn, S. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kogan, F. (PI);
Kuhl, E. (PI);
Lai, C. (PI);
Larson, N. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Marsden, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Sakovsky, M. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wall, D. (PI);
Wang, H. (PI);
Zeineh, M. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 400:
Thesis (Engineer Degree)
Investigation of some engineering problems. Required of Engineer degree candidates
Terms: Aut, Win, Spr, Sum
| Units: 2-15
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 403:
Quantum Field Theory (QFT) for Engineering Applications (MATSCI 405)
QFT principles for engineering applications in nano and microelectronics. Examples include quantum computing, topological quantum computing, and superconductivity. Focus on solids and quasiparticles. Relation between energy, momentum, and mass. Quantization, Klein Gordon, Dirac, Pauli, and Schrödinger equation. Introduction to topological states and the Majorana condition. Lagrange invariance and the need for gauge fields (electrodynamics).
Terms: Aut
| Units: 3
ME 405:
Asymptotic Methods in Computational Engineering
This course is not a standard teaching of asymptotic methods as thought in the applied math programs. Nor does it involve such elaborate algebra and analytical derivations. Instead, the class relies on students' numerical programming skills and introduces improvements on numerical methods using standard asymptotic and scaling ideas. The main objective of the course is to bring physical insight into numerical programming. The majority of the problems to be explored involve one- and two-dimensional transient partial differential equations inspired by thermal-fluid and transport engineering applications. Topics include: 1-Review of numerical discretization and numerical stability, 2-Implicit versus explicit methods, 3-Introduction to regular and singular perturbation problems, 4-Method of matched asymptotic expansions, 5-Stationary thin interfaces: boundary layers, Debye layers, 6-Moving thin interfaces: shocks, phase-interfaces, 7-Reaction-diffusion problems, 8-Directional equilibrium and lubrication theory.
Terms: Win
| Units: 3
ME 406:
Turbulence Physics and Modeling Using Numerical Simulation Data
Prerequisite: consent of instructor.
Last offered: Summer 2023
| Units: 1-2
ME 408:
Spectral Methods in Computational Physics (CME 322)
Data analysis, spectra and correlations, sampling theorem, nonperiodic data, and windowing; spectral methods for numerical solution of 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.
Last offered: Winter 2023
| Units: 3
ME 410A:
Introductory Foresight and Technological Innovation
Learn to develop long-range, technology-based innovations (5+ years based on industry). This course offers an intensive, hands-on approach using multiple engineering foresight strategies and tools. Model disruptive opportunities and create far-to-near development plans. Three quarter sequence.
Last offered: Autumn 2022
| Units: 3
ME 410B:
Introductory Foresight and Technological Innovation
Continuation of ME410A. Students will continue developing their invention, integrate additional engineering foresight, and develop an intrinsic innovation mindset. Ongoing discussion of industry examples and contemporary events demonstrate foresight principals and engineering leadership in action.
Last offered: Winter 2022
| Units: 3
ME 410C:
Introductory Foresight and Technological Innovation
Continuation of ME410B. Students will continue developing their invention, integrate additional engineering foresight, and develop an intrinsic innovation mindset. Ongoing discussion of industry examples and contemporary events demonstrate foresight principals and engineering leadership in action.
Last offered: Spring 2021
| Units: 3
ME 414:
Solid State Physics for Mechanical Engineering Experiments
Introductory overview of principles of statistical mechanics, quantum mechanics and solid-state physics. Provides graduate Mechanical Engineering students with the understanding needed to work on devices or technologies which rely on solid-state physics. (Alternate years).
Last offered: Summer 2020
| Units: 3
ME 420:
Applied Electrochemistry at Micro- and Nanoscale
Applied electrochemistry with a focus on energy conversion and storage. Basic concepts of thermodynamics, electrochemistry, and first principal calculations are presented, of which today's fundamentals of electrochemical energy conversion/storage are built. Conventional as well as advanced Li battery concepts/systems and their applications will be a main subject area. intercalation and conversion cathode and anode material families will be introduced and electrochemical function/challenges for energy storage of these materials will be highlighted. Conventional electrolyte materials such as carbonate based liquid electrolyte system and advanced solid-state material will be a topic in class.
Last offered: Summer 2020
| 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
ME 451B:
Advanced Fluid Mechanics - Flow Instabilities
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.
Last offered: Autumn 2022
| Units: 3
ME 451C:
Advanced Fluid Mechanics - Low-Order Modeling for Turbulent Flow
Statistical analysis of turbulent flow data. Modal representations. Goals for low - order models, observability and controllability. Data-driven techniques: proper orthogonal decomposition (POD)/principal component analysis (PCA), spectral POD, dynamic mode decomposition, linear stochastic estimation, and their extensions. Disambiguating linear and nonlinear effects, sparse identification of nonlinear dynamics (SINDy), Koopman analysis, etc. Equation-driven models: eigenanalysis, pseudospectra, resolvent analysis. Connections between data-driven and equation-driven modeling approaches. Low-order models for turbulent flows. Prerequisites: Familiarity with turbulent flows (ME 361), or consent of the instructor.
Terms: Win
| Units: 3
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: CHEMENG 120A, CHEMENG 120B, CHEMENG 300, or equivalents.
Terms: Win
| Units: 3
ME 455:
Complex Fluids and Non-Newtonian Flows (CHEMENG 462)
Definition of a complex liquid and microrheology. Division of complex fluids into suspensions, solutions, and melts. Suspensions as colloidal and non-colloidal. Extra stress and relation to the stresslet. Suspension rheology including Brownian and non-Brownian fibers. Microhydrodynamics and the Fokker-Planck equation. Linear viscoelasticity and the weak flow limit. Polymer solutions including single mode (dumbbell) and multimode models. Nonlinear viscoelasticity. Intermolecular effects in nondilute solutions and melts and the concept of reptation. Prerequisites: low Reynolds number hydrodynamics or consent of instructor.
Last offered: Winter 2019
| Units: 3
ME 457:
Fluid Flow in Microdevices
Physico-chemical hydrodynamics. Creeping flow, electric double layers, and electrochemical transport such as Nernst-Planck equation; hydrodynamics of solutions of charged and uncharged particles. Device applications include microsystems that perform capillary electrophoresis, drug dispension, and hybridization assays. Emphasis is on bioanalytical applications where electrophoresis, electro-osmosis, and diffusion are important. Prerequisite: consent of instructor.
Terms: Spr
| Units: 3
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.
Last offered: Spring 2023
| Units: 3-5
ME 461:
Advanced Topics in Turbulence
Turbulence phenomenology; statistical description and the equations governing the mean flow; fluctuations and their energetics; turbulence closure problem, two-equation turbulence models, and second moment closures; non-local effect of pressure; rapid distortion analysis and effect of shear and compression on turbulence; effect of body forces on turbulent flows; buoyancy-generated turbulence; suppression of turbulence by stratification; turbulent flows of variable density; effect of rotation on homogeneous turbulence; turbulent flows with strong vortices. Prerequisites: 351B and 361A, or consent of instructor.
Terms: Aut
| Units: 3
ME 463:
Advanced Topics in Plasma Science and Engineering
Research areas such as plasma diagnostics, plasma transport, waves and instabilities, and engineering applications.
Last offered: Spring 2022
| Units: 3
ME 469:
Computational Methods in Fluid Mechanics (CME 369)
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: Spr
| Units: 3
ME 470:
Uncertainty Quantification (CEE 362A)
Uncertainty is an unavoidable component of engineering practice and decision making. Representing a lack of knowledge, uncertainty stymies our attempts to draw scientific conclusions, and to confidently design engineering solutions. Failing to account for uncertainty can lead to false discoveries, while inaccurate assessment of uncertainties can lead to overbuilt engineering designs. Overcoming these issues requires identifying, quantifying, and managing uncertainties through a combination of technical skills and an appropriate mindset. This class will introduce modern techniques for quantifying and propagating uncertainty and current challenges. Emphasis will be on applying techniques in genuine applications, through assignments, case studies, and student-defined projects. Prerequisite: Basic probability and statistics at the level of CME 106 or equivalent.
Terms: Win
| Units: 3
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.
Last offered: Spring 2023
| Units: 3
ME 491:
Ph.D. Teaching Experience
Ph.D. students may enroll for up to 3 units while working as a TA or CA. May be repeated for credit.
Terms: Aut, Win, Spr
| Units: 1-3
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Marsden, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 492:
Mechanical Engineering Teaching Assistance Training
In this interactive seminar course, students will learn active learning and inclusive teaching strategies as well as receive support for serving as a CA/TA in an engineering context. Intended for current and future CAs/TAs in Mechanical Engineering or related departments, the course will also feature a workshop on collecting feedback, a panel with former TAs, and teaching techniques tailored to different class environments.Mechanical Engineering Teaching Assistance Training
Terms: Win
| Units: 1
Terms: Aut, Win, Spr, Sum
| Units: 1-15
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
ME 571:
Surgical Robotics Seminar (CS 571)
Surgical robots developed and implemented clinically on varying scales. Seminar goal is to expose students from engineering, medicine, and business to guest lecturers from academia and industry. Engineering and clinical aspects connected to design and use of surgical robots, varying in degree of complexity and procedural role. May be repeated for credit.
Last offered: Winter 2019
| Units: 1
| Repeatable
for credit
Terms: Aut, Win, Spr
| Units: 0
| Repeatable
for credit
Instructors: ;
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Zhao, R. (PI);
Zheng, X. (PI)
Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit
Instructors: ;
Bohg, J. (PI);
Cai, W. (PI);
Cappelli, M. (PI);
Chaudhuri, O. (PI);
Collins, S. (PI);
Cutkosky, M. (PI);
Darve, E. (PI);
Dauskardt, R. (PI);
Delp, S. (PI);
Edwards, C. (PI);
Edwards, M. (PI);
Elschot, S. (PI);
Farhat, C. (PI);
Follmer, S. (PI);
Gao, G. (PI);
Gerdes, J. (PI);
Goodson, K. (PI);
Gu, W. (PI);
Hanson, R. (PI);
Iaccarino, G. (PI);
Ihme, M. (PI);
Kelley, D. (PI);
Kennedy, M. (PI);
Kenny, T. (PI);
Kuhl, E. (PI);
Lele, S. (PI);
Levenston, M. (PI);
Lew, A. (PI);
Majumdar, A. (PI);
Mani, A. (PI);
Marsden, A. (PI);
Mayalu, M. (PI);
McKeon, B. (PI);
Moin, P. (PI);
Nelson, D. (PI);
Okamura, A. (PI);
Prinz, F. (PI);
Roth, B. (PI);
Santiago, J. (PI);
Shaqfeh, E. (PI);
Sheppard, S. (PI);
Tang, S. (PI);
Wang, H. (PI);
Yang, Y. (PI);
Zhao, R. (PI);
Zheng, X. (PI);
Cappelli, M. (TA)
