Data Science in the Physics Curriculum
INVITED · M36 · ID: 355755
Presentations
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Designing curricula for data science based on fundamental skills and competencies informed by expert interviews
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Presenters
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Devin Silvia
Computational Mathematics, Science, and Engineering, Michigan State Univ
Authors
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Devin Silvia
Computational Mathematics, Science, and Engineering, Michigan State Univ
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Nathaniel Hawkins
Computational Mathematics, Science, and Engineering, Michigan State Univ
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Brian W O'Shea
Computational Mathematics, Science, and Engineering, Michigan State Univ
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Marcos Daniel Caballero
Computational Mathematics, Science, and Engineering, Michigan State Univ
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A university-wide approach to integrative data science education and career paths
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Presenters
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Sarah Stone
University of Washington
Authors
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Sarah Stone
University of Washington
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A beginner's guide to using data science for physicists
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Presenters
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Trevor David Rhone
Harvard University, Physics, Rensselaer Polytechnic Institute
Authors
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Trevor David Rhone
Harvard University, Physics, Rensselaer Polytechnic Institute
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Deep Learning Data Science Competencies to Promote Workplace Readiness
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Presenters
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Amir Shahmoradi
University of Texas at Arlington
Authors
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Amir Shahmoradi
University of Texas at Arlington
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Data Science Tools in the Classroom
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Presenters
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Mohammad Soltanieh-Ha
Boston Univ
Authors
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Mohammad Soltanieh-Ha
Boston Univ
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