The finite element method is one of the most widely used computational methods in engineering, with interest for both theoretical studies and applications across a wide range of fields. But until recently, there was no English-language online training in the finite...
Slides and video are now available from the kickoff symposium for the Michigan Institute for Data Science (MIDAS) held on Oct. 6, 2015, in the Rackham Auditorium. U-M speakers included Provost Martha Pollack, Interim Vice President for Research S. Jack Hu, MIDAS...
Users of high performance computing resources are invited to meet Flux operators and support staff in person at an upcoming user meeting: Monday, Nov. 2, 1 – 5 p.m., 2601 School of Public Health Building I (1415 Washington Heights) There is not a set agenda; come at...
Jim Chelikowsky, Director of the ICES Center for Computational Materials, and professor of Physics, Chemical Engineering, and Chemistry and Biochemistry at the University of Texas at Austin, will be on campus as part of the Michigan Institute for Computational...
The Michigan Institute for Data Science (MIDAS) is pleased to announce the first competition for MIDAS Challenge Thrust awards. These awards are intended to stimulate research in key areas identified at the recent symposium and will lay the foundation for future...
Craig Stewart, Associate Dean of Research Technologies and Executive Director of the Pervasive Technology Institute at Indiana University will speak on the U-M campus. Title: Cyberinfrastructure for Research: from campus growth to national trends and new tools Time: 4...
The Center for Statistical Consultation and Research (CSCAR) is offering a workshop on R. Time/Date: 1 – 3 p.m., Friday, Nov. 6 Location: MLB Room 2001A Size: Limited to 24 Registration: Call 734-764-7828 Description: R is an extremely powerful tool for data...
Top data scientists from around the country will gather in the Rackham Building on Oct. 6 for a symposium to launch the Michigan Institute for Data Science (MIDAS), the centerpiece of the university’s recently announced $100 million investment in data science....
Buried in troves of data that scientists have gathered, but not yet analyzed, could be key insights to improving cancer treatment, understanding Alzheimer’s, predicting climate change effects and developing cheaper, clean energy technologies. Those are just a...
U-M investigators involved in data-intensive research are getting a new tool to help them store, manage and analyze large data sets. Advanced Research Computing – Technology Services announced that a new service, Turbo Research Storage, is available to...
