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1 - 10 of 17 results for: ME ; Currently searching summer courses. You can expand your search to include all quarters

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

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

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

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: Win, Spr, Sum | Units: 1

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

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

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

How will high performance computing and artificial intelligence change the way you live, work and learn? What skill sets will you need in the future? The HPC-AI Summer Seminar Series, presented by the Stanford High Performance Computing Center and the HPC-AI Advisory Council, combines thought leadership and practical insights with topics of great societal importance and responsibility¿from applications, tools and techniques to delving into emerging trends and technologies. These experts and influencers who are shaping our HPC and AI future will share their vision and will address audience questions. The overarching theme this year is the potential influence and impact of HPC and AI to battle COVID-19. Students of all academic backgrounds and interests are encouraged to register for this 1-unit course. No prerequisites required. Register early.
Terms: Sum | Units: 1
Instructors: Jones, S. (PI)

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) ; Armstrong, J. (PI) ; Barry, M. (PI) ; Beach, D. (PI) ; Bowman, C. (PI) ; Burnett, W. (PI) ; Cai, W. (PI) ; Camarillo, D. (PI) ; Cantwell, B. (PI) ; Cappelli, M. (PI) ; Carryer, J. (PI) ; Carter, C. (PI) ; Chaudhuri, O. (PI) ; Close, S. (PI) ; Collins, S. (PI) ; Cutkosky, M. (PI) ; Dabiri, J. (PI) ; Darve, E. (PI) ; Dauskardt, R. (PI) ; Davies, K. (PI) ; Delp, S. (PI) ; Dresselhaus-Marais, L. (PI) ; Dunham, E. (PI) ; Eaton, J. (PI) ; Edmark, J. (PI) ; Edwards, C. (PI) ; Edwards, M. (PI) ; Evans, D. (PI) ; Farhat, C. (PI) ; Fenton, P. (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) ; Khatib, O. (PI) ; Kohn, M. (PI) ; Kuhl, E. (PI) ; Leifer, L. (PI) ; Lele, S. (PI) ; Levenston, M. (PI) ; Lew, A. (PI) ; MacDonald, E. (PI) ; Majumdar, A. (PI) ; Mani, A. (PI) ; Mayalu, M. (PI) ; Milroy, C. (PI) ; Mitchell, R. (PI) ; Moin, P. (PI) ; Nelson, D. (PI) ; Okamura, A. (PI) ; Paredes Castro, P. (PI) ; Pinsky, P. (PI) ; Prinz, F. (PI) ; Rajagopal, R. (PI) ; Rock, S. (PI) ; Roth, B. (PI) ; Saad, V. (PI) ; Saffo, P. (PI) ; Salisbury, J. (PI) ; Santiago, J. (PI) ; Sather, A. (PI) ; Schar, M. (PI) ; Scott, W. (PI) ; Shaqfeh, E. (PI) ; Shaughnessy, S. (PI) ; Sheppard, S. (PI) ; Simamora, C. (PI) ; Sirkin, D. (PI) ; Somen, D. (PI) ; Tang, S. (PI) ; Urzay, J. (PI) ; Wang, H. (PI) ; Webb, S. (PI) ; Woo, J. (PI) ; Wu, J. (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
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