Research

Computing at Stanford

Stanford houses one of the most extensive computing environments of any university worldwide.

SUNet, the Stanford University Network, includes 267,367 active devices with Internet protocol addresses. SUNet transports 40 terabytes of incoming data and 30 terabytes of data outgoing between Stanford and the Internet each day. Stanford has 46,000 e-mail accounts and delivers about 1.9 million incoming mail messages daily.

Students are not required to own computers at Stanford, although an estimated 99 percent own at least one and 90 percent have a smart mobile device. In addition, more than 1,000 public computers provide access to hundreds of software and courseware packages, including in every campus residence. Public computers had more than 350,000 logins and were in use for nearly 14,000 hours (about 36.5 years) during 2013-14.

Stanford has been a leader in computer use, research and instruction, and in using technology to transform teaching and learning in Stanford’s classrooms and beyond. From the initial launch of MOOCs, or “massive open online courses,” to the evolution of flipped courses and efforts to build data-driven research capacity that will help spur advances in teaching and learning, Stanford is leading an effort to seed fundamental changes to higher education by reimaging how to best educate students in the 21st century.

Notable dates:

1953 High-speed electronic calculator installed on campus
1956 First computer installed
1957 First faculty member specializing in computers hired
1965 Computer Science Department founded
1968 Computer mouse, hypertext linking debuted at Stanford
1987 First residential computing program established at Stanford
1988 Stanford’s network is one of the first to connect to the Internet
1991 SLAC creates the first U.S. website
2005 Stanford is the first university to launch a public site on iTunes U
2013 Stanford engineers build computer using carbon nanotubes

In 2014, the Stanford Research Computing Facility opened to support the computing needs of the university and the SLAC National Accelerator Laboratory. Researchers use the computing power for projects such as genome sequence analysis, protein modeling, computational fluid dynamic simulations and economic modeling.

This page last modified Oct 26, 2015.