SC14 Workshop on Computational Science Education

Integrating Computational Science Into the Curriculum: Models and Challenges

Sunday Morning November 16, 2014


Computational science has become the third path to discovery in science and engineering along with theory and experimentation. It is central to advancing research and is essential in making U.S. industry competitive in the face of international market competition. Participants will review competencies and models of computational science programs, learn about the demand for a workforce with computational modeling skills, and available resources and opportunities. Participants will analyze their current curriculum and expertise and devise a draft plan of action to advance computational science on their own campuses.

Agenda and Workshop Materials

  1. 9:00 AM- 10 AM

    Opportunities and Challenges for Curriculum Change

    Review of Competencies
  2. 10:00 - 10:30 AM Break
  3. 10:30 - 11:30 AM

    Industry Panel Discussion:  Demand for scientists and engineers with computational modeling skills

    Discussion of challenges to providing training for new employees


    Jeffrey Crompton – Altasim Technologies

    Tom Lange – Procter and Gamble

    David Scott – Intel Corporation

  4. 11:30 AM - Noon

    Analysis of an Undergraduate Curriculum to Integrate Computational Science

    Example Undergraduate Programs