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    Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences

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    WangGobbertEtAl_EduHPC-17.pdf (184.1Kb)
    Links to Files
    https://par.nsf.gov/biblio/10067778
    Permanent Link
    http://hdl.handle.net/11603/11318
    Collections
    • UMBC Computer Science and Electrical Engineering Department
    • UMBC Faculty Collection
    • UMBC Information Systems Department
    • UMBC Mathematics and Statistics Department
    • UMBC Physics Department
    • UMBC Student Collection
    Metadata
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    Author/Creator
    Wang, Jianwu
    Gobbert, Matthias K.
    Zhang, Zhibo
    Gangopadhyay, Aryya
    Page, Glenn G.
    Date
    2017-11-01
    Type of Work
    8 pages
    Text
    conference paper preprint
    Citation of Original Publication
    Wang Jianwu, Gobbert K. Matthias, Zhang Zhibo, Gangopadhyay Aryya, Page Glenn, Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences, Proceedings of the Workshop on Education for High-Performance Computing (EduHPC-17) Proceedings of the Workshop on Education for High-Performance Computing (EduHPC-17), 2017
    Rights
    This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
    Subjects
    Big Data
    High-Performance Computing
    Atmospheric Sciences
    Multidisciplinary Education
    Developmental Evaluation
    High Performance Computing Facilty (HPCF)
    Abstract
    We present a new initiative to create a training program or graduate-level course (cybertraining.umbc.edu) in big data applied to atmospheric sciences as application area and using high-performance computing as indispensable tool. The training consists of instruction in all three areas of "Big Data + HPC + Atmospheric Sciences" supported by teaching assistants and followed by faculty-guided project research in a multidisciplinary team of participants from each area. Participating graduate students, post-docs, and junior faculty from around the nation will be exposed to multidisciplinary research and have the opportunity for significant career impact. The paper discusses the challenges, proposed solutions, practical issues of the initiative, and how to integrate high-quality developmental program evaluation into the improvement of the initiative from the start to aid in ongoing development of the program.


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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.