The School of Engineering China programs aim to enhance engineering education by providing undergraduate, co-term, master's, and PhD students with an opportunity to learn about China and to gain meaningful volunteer experience in a culturally diverse and international environment.
Last modified Thu, 9 May, 2013 at 16:13
Two faculty members at the School of Engineering join one of the country's oldest and most prestigious honorary learned societies.
Dave Dill, professor of computer science, and Arthur Bienenstock, professor emeritus of materials science and engineering, have been elected as members of the American Academy of Arts and Sciences. They join five other Stanford faculty in the academy's class of 2013.
Last modified Fri, 26 Apr, 2013 at 11:25
Assistant Professor Jure Leskovec uses information collected from sites like Twitter, Wikipedia and Facebook to tackle big questions about how society works.
For the more than two billion people who are now online, the Internet is an answer factory. The right keywords and navigation skills can unlock more data than any mind could hold.
But for Stanford Computer Science Professor Jure Leskovec, the most interesting answers are under the hood, in the data of our online habits. His research uses information collected from sites like Twitter, Wikipedia and Facebook to tackle big questions about how society works.
Last modified Wed, 17 Apr, 2013 at 10:08
Two faculty members and four alumni are among those named as winners of prestigious ACM Awards in computer science.
Two Stanford Engineering faculty and four alumni are among winners of the 2012 ACM (the Association for Computing Machinery) awards for innovations in computing technology.
Last modified Wed, 17 Apr, 2013 at 14:28
EdX will be available as an open source learning platform on June 1. In support of that move, Stanford will integrate features of its existing Class2Go open source online learning platform into the edX platform.
Stanford University will collaborate with edX, the nonprofit online learning enterprise founded by Harvard and MIT, to advance the development of edX's open source learning platform and continue to provide free and open online learning tools for institutions around the world.
Last modified Wed, 3 Apr, 2013 at 9:32
In 1962, a young graduate student set about writing the definitive book on computer programming. Five decades and four volumes later, Don Knuth is still writing and the Stanford School of Engineering has its latest "Engineering Hero."
Some people are born before their time, and some after. Don Knuth was born precisely in his time. In the 1950s, Knuth was a student at Case Institute of Technology in Cleveland, Ohio, (now merged into Case Western Reserve University) and he answered the call for a job programming an IBM Type 650 computer, the first computer he had ever seen.
"Fortuity" hardly does the meeting justice. Knuth was born to program computers. It was as if computers, invented in the preceding decade, had been awaiting him.
Last modified Wed, 13 Mar, 2013 at 10:33
Users of the new research application EmailValet grew comfortable with sharing their inbox with remote assistants, who perused the emails to create to-do lists. Developed by a Stanford Engineering doctoral student, the appication helped users complete twice as many tasks.
Most people are comfortable handing over their car keys to a complete stranger. Valet service is convenient, professional and reliable. But personal information, such as the contents of your email inbox, is a different story, right?
Last modified Mon, 25 Mar, 2013 at 11:54
Election to the National Academy of Engineering is among the highest professional distinctions an engineer can receive.
Eight professors from the Stanford University School of Engineering are among the newly elected National Academy of Engineering (NAE) members, the NAE said today.
Last modified Thu, 7 Feb, 2013 at 16:51
The advanced GPU computing workshop will build on the, GPU COMPUTING 101 workshop, by discussing advanced GPU programming techniques such as profiling applications and code optimization strategies. Audience will participate in hands-on exercises in OpenACC and CUDA to display these optimization techniques. High level programming methods such as the Thrust application library and the use of Python in GPU computing may also be shown.
This workshop is recommended for:
Last modified Thu, 10 Jan, 2013 at 13:43
This GPU Computing 101 workshop will address topics such as why accelerated computing with GPUs is important to sustaining and advancing the state of the art in scientific and research computing, both in terms of performance and energy efficiency. The workshop will survey the broad range of GPU accelerated applications across all domains of scientific research and engineering.
Last modified Fri, 11 Jan, 2013 at 14:26