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1 - 10 of 22 results for: ME ; Currently searching summer courses. You can expand your search to include all quarters

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, Spr, Sum | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR

ME 101: Visual Thinking

ME101 is at the foundation class for all designers and creative people at Stanford. It teaches you how to access your creativity through a series of projects, all of which have been redesigned so that they can be accomplished in an online learning environment. Visual thinking, a powerful adjunct to other problem solving modalities, is developed and exercised in the context of solving some fun and challenging design problems. Along the way, the class expands you access to your imagination, helps you see more clearly with the "mind's eye:¿, and learn how to do rapid visualization and prototyping. The emphasis on basic creativity, learning to build in the 3D world, and fluent and flexible idea production.
Terms: Aut, Win, Spr, Sum | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-CE

ME 104B: Designing Your Life

This course applies the mindsets and innovation principles of design thinking to the "wicked problem" of designing your life and vocation. The course introduces design thinking processes through application: students practice awareness and empathy, define areas of life and work on which hey want to work, ideate about ways to move forward, try small prototypes, and test their assumptions. The course is highly interactive. The course will include brief readings, writing, reflections, and in-class exercises. Expect to practice ideation and prototyping methodologies, decision making practices and to participate in hands on activities in pairs, trios, and small groups. Also includes roleplaying, assigned conversations with off campus professionals, guest speakers, and individual mentoring and coaching. It will conclude with creation of 3 versions of the next 5 years and prototype ideas to begin making those futures a reality. Open to juniors, seniors and 5th year coterms, all majors. All enrolled and waitlisted students should attend class on day 1 for admission. Additional course information at http://www.designingyourlife.org.
Terms: Aut, Win, Spr, 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 | 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 for credit

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 for credit

ME 344: Introduction to High Performance Computing

ME 344 is an introductory course on High Performance Computing Systems, providing a solid foundation in parallel computer architectures, cluster operating systems, and resource management. This course will discuss fundamentals of what comprises an HPC cluster, and how we can take advantage of such systems to solve large-scale problems in wide ranging applications like computational fluid dynamics, image processing, machine learning and analytics. Students will take advantage of Open HPC, Intel Parallel Studio, Environment Modules, and cloud-based architectures via lectures, live tutorials, and laboratory work on their own HPC Clusters. This year includes building an HPC Cluster via remote installation of physical hardware, configuring and optimizing a high-speed Infiniband network, and an introduction to parallel programming and high performance python. Students will complete the course with a project using their own clusters to interrogate and model a COVID-19 dataset. There are no prerequisites for computer programming languages. Many of the tasks involve scripting languages. Knowledge of bash and python are helpful to get the most out of the course. Group work and collaboration on projects is allowed and encouraged.
Terms: Sum | Units: 3

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)
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