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September 2016

Graduate Studies in Computational & Data Sciences Info Session – North Campus

September 19, 2016 @ 5:00 pm - 6:00 pm
Location: Johnson Rooms, Lurie Engineering Center, 3rd Floor, 1221 Beal Ave.
Ann Arbor, MI United States

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…

Graduate Studies in Computational & Data Sciences Info Session – Central Campus

September 21, 2016 @ 5:00 pm - 6:00 pm
Location: 2001 LSA Building, 500 State St.
Ann Arbor, MI 48109 United States

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…

November 2016

Info Session: Data Services at U-M

November 1, 2016 @ 4:00 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

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…

November 2017

Info Session: Consulting and computing resources for data science

November 8, 2017 @ 2:00 pm - 4:00 pm
Location: Rackham Building, West Conference Room, Fourth Floor, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Advanced Research Computing at U-M (ARC) will host an information session for graduate students in all disciplines who are interested in new computing and data science resources and services available…

January 2019

Graduate Studies in Computational & Data Sciences Info Session – North Campus

January 24, 2019 @ 4:30 pm - 5:30 pm
Location: Johnson Rooms, Lurie Engineering Center, 3rd Floor, 1221 Beal Ave.
Ann Arbor, MI United States

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…