Presented By: Advanced Research Computing (ARC)
Graduate programs in computational and data science
SUBJECT: Info sessions on graduate studies in data and computational sciences, Feb. 22, 23
Learn about graduate programs that will prepare you for success in computationally intensive fields, and enjoy some pizza. Presentations will describe the following programs:
* 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. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
* The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
* The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics: 1) Modeling — Understanding of core data science principles, assumptions and applications; 2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization; 3) Practice — Hands-on experience with real data, modeling tools, and technology resources.
Presenters:
* Krishna Garikipati, Professor of Mechanical Engineering and Mathematics, and Associate Director for Research, Michigan Institute for Computational Discovery and Engineering.
* Ivo Dinov, Associate Professor of Computational Medicine and Bioinformatics, and Human Behavior and Biological Sciences.
* Ken Powell, Arthur F. Thurnau Professor of Aerospace Engineering.
There will be time for questions and discussion.
Learn about graduate programs that will prepare you for success in computationally intensive fields, and enjoy some pizza. Presentations will describe the following programs:
* 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. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
* The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
* The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics: 1) Modeling — Understanding of core data science principles, assumptions and applications; 2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization; 3) Practice — Hands-on experience with real data, modeling tools, and technology resources.
Presenters:
* Krishna Garikipati, Professor of Mechanical Engineering and Mathematics, and Associate Director for Research, Michigan Institute for Computational Discovery and Engineering.
* Ivo Dinov, Associate Professor of Computational Medicine and Bioinformatics, and Human Behavior and Biological Sciences.
* Ken Powell, Arthur F. Thurnau Professor of Aerospace Engineering.
There will be time for questions and discussion.
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