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Michigan Institute for Data Science

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

Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

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

Weiser Hall, 10th Floor 500 Church Street, 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

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

Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

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

Weiser Hall, 10th Floor 500 Church Street, 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning […]

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

Weiser Hall, Room 110 (First Floor) 500 Church Street, 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. […]

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

Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 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 will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. […]

SC2 Workshop Series: Intro to Jugular: Virtual Reality and 3D Rendering

U-M 3D Lab, Digital Media Commons, Duderstadt Center 2281 Bonisteel Blvd, Ann Arbor, MI, United States

Learn how to format, load and visualize your data in 3D. Jugular works in U-M M.I.D.E.N., the Occulus Rift and any desktop window. The U-M 3D Lab will teach this workshop and show us the available tools in-house. This workshop is part of the Scientific Computing Student Club's (SC2) 2020 Visualization Challenge. Learn more about […]

SC2 Workshop Series: QGIS – Visualizing Geospatial Data

Modern Languages Building (MLB), Room 2001A

QGIS is a user friendly Open Source Geographic Information System (GIS). You can visualize, manage, edit, analyze data, and compose printable maps. The workshop will use R. This workshop is part of the Scientific Computing Student Club’s (SC2) 2020 Visualization Challenge. It is the second workshop in the series. Learn more about the workshop series and the Visualization […]

SC2 Workshop Series: Data Processing and Visualizations with R and Python

Modern Languages Building (MLB), Room 2001A

This workshop will provide some tools, tips, and packages that make data processing and visualization in R easier. Some coding experience is required – not necessarily R. Instructor: Dr. Michael Clark, Consultant, Consulting for Statistics, Computing and Analytic Research (CSCAR) Space is limited. Learn more and register here.

SC2 Workshop Series: VisIt- Open Source, Interactive, Scalable, Visualization, Animation and Analysis Tool

Learn to interactively visualize and analyze data ranging in scale from small (<101 cores) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Dr. Allen Sanderson, an expert from the Scientific Computing and Imaging Institute (Utah), will teach this workshop. If you're unfamiliar with VisIt, check out how it can help you visualize your data here. […]