Data Science in the Physics Curriculum

Presentations

• Designing curricula for data science based on fundamental skills and competencies informed by expert interviews

  Invited

  March 4, 2020, 11:15 AM – March 4, 2020, 11:51 AM

  Presenters

  • Devin Silvia

    • Computational Mathematics, Science, and Engineering, Michigan State Univ

  Authors

  • Devin Silvia

    • Computational Mathematics, Science, and Engineering, Michigan State Univ

  • Nathaniel Hawkins

    • Computational Mathematics, Science, and Engineering, Michigan State Univ

  • Brian W O'Shea

    • Computational Mathematics, Science, and Engineering, Michigan State Univ

  • Marcos Daniel Caballero

    • Computational Mathematics, Science, and Engineering, Michigan State Univ

  View abstract →

• A university-wide approach to integrative data science education and career paths

  Invited

  March 4, 2020, 11:51 AM – March 4, 2020, 12:27 PM

  Presenters

  • Sarah Stone

    • University of Washington

  Authors

  • Sarah Stone

    • University of Washington

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• A beginner's guide to using data science for physicists

  Invited

  March 4, 2020, 12:27 PM – March 4, 2020, 1:03 PM

  Presenters

  • Trevor David Rhone

    • Harvard University
    • Physics, Rensselaer Polytechnic Institute

  Authors

  • Trevor David Rhone

    • Harvard University
    • Physics, Rensselaer Polytechnic Institute

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• Deep Learning Data Science Competencies to Promote Workplace Readiness

  Invited

  March 4, 2020, 1:03 PM – March 4, 2020, 1:39 PM

  Presenters

  • Amir Shahmoradi

    • University of Texas at Arlington

  Authors

  • Amir Shahmoradi

    • University of Texas at Arlington

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• Data Science Tools in the Classroom

  Invited

  March 4, 2020, 1:39 PM – March 4, 2020, 2:15 PM

  Presenters

  • Mohammad Soltanieh-Ha

    • Boston Univ

  Authors

  • Mohammad Soltanieh-Ha

    • Boston Univ

  View abstract →