CSCAR will offer a series of workshops on data science skills using Python. The workshops will be held in the Earl Lewis room in the Rackham building. All workshops will take place on Wednesday afternoons from 3:30-5. The workshops are free and no registration is...
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods,...
Please join us for the 2017 Michigan Institute for Data Science Symposium. The keynote speaker will be Cathy O’Neil, mathematician and best-selling author of “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.”...
The Big Data in Transportation and Mobility symposium held June 22-23, 2017, in Ann Arbor, MI brought together more than 150 data science practitioners from academia, industry and government to explore emerging issues in this expanding field. Sponsored by the...
The University of Michigan is beginning the process of building our next generation HPC platform, “Big House.” Flux, the shared HPC cluster, has reached the end of its useful life. Flux has served us well for more than five years, but as we move forward with...
Talks from the 2017 MICDE Annual Symposium are now available on the Advanced Research Computing YouTube channel. Due to technical difficulties, the afternoon sessions (Emanuel Gull and J. Tinsley Oden) were not recorded. The videos can be viewed...
Last week’s MICDE annual symposium included a poster competition for students and postdocs. The event featured 56 posters that highlighted the interdisciplinary nature of the institute. (Some of the posters were described in a story in the Michigan Daily). All...
The Michigan Institute for Data Science (MIDAS) is convening a research working group on mobile sensor analytics. Mobile sensors are taking on an increasing presence in our lives. Wearable devices allow for physiological and cognitive monitoring, and behavior modeling...
Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods,...
Representatives of Consulting for Statistics, Computing and Analytics Research (CSCAR) and the U-M Library (UML) will give an overview of services that are now available to support data-intensive research on campus. As part of the U-M Data Science Initiative, CSCAR...
