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1 - 10 of 19 results for: ME ; Currently searching summer courses. You can expand your search to include all quarters

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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
Instructors: Sather, A. (PI) ; Shaughnessy, S. (PI)

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: ENGR 14. By application only, see notes below.
Terms: Aut, Win, Spr, Sum | Units: 3
Instructors: Edelman, J. (PI) ; Lascar, S. (TA) ; Leou, R. (TA) ; Ojeaburu, H. (TA)

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 | Repeatable 3 times (up to 3 units total)

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)

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)

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 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
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