Statistical Computing Facility
The Statistical Computing Facility (SCF) is a unit of the academic Department of Statistics, formally organized in 1986. We provide computing, networking, and information resources to the community of students, faculty, and staff of the Statistics Department and the Econometrics Laboratory of the Department of Economics in support of the University's mission of teaching, research, and public service. It is staffed by a Systems Manager, a Statistical Computing Consultant, and a UNIX System Administrator. We have this template text describing the SCF and other department resources that is suitable for grant proposals.
- Do You Need Help?
Browse or search our online documentation for assistance
- Get a Computing Account
SCF accounts grant access to the SCF computing cluster, compute servers, departmental file server, and lab computers in 432 Evans. Please click on the link above if you require an SCF account and fill out the requested information.
- Wireless Network Access
UC Berkeley offers a variety of Wi-Fi network access services. You must create a Wi-Fi key (full instructions can be found here) in order to connect as a member of campus. eduroam is a cross-institution Wi-Fi access service. If your device can connect to eduroam with any credentials at any institution, it can connect at Berkeley, and vice versa.
- Wired Network
Get your computer onto the wired network in Evans Hall.
- Remote Access to SCF servers
Connect to SCF machines and computing resources, including from home and while traveling. We also provide web browser-based access to Jupyter notebooks and RStudio.
- Overview for self-managed/private computers
- Access your SCF home directory by manually copying files or by mounting the directory
- Printing is managed through LSIT Services and access to the printers, except for the lab computers in 432 Evans, requires CalNet credentials. Information on how to setup SCF printers for faculty, staff, and eligible post-docs, GSIs and graduate students is available in our printer installation guide.
- Set up your personal webpage
- Edit your profile page at statistics.berkeley.edu
- Questions about your @berkeley.edu email