• 3:30-5:00pm
    Room A201/205
    Access Grid Enabled

    Computational Science: Do Undergraduate Faculty Know that Computational Science is the Future?
    Moderator: Scott Lathrop, Program Manager for Education, Outreach and Training, National Center for Supercomputing Applications
    Panelists: Rubin Landau, Professor Physics, Director of Computational Physics Program, Oregon State University; E. Bruce Pitman, Professor Mathematics and Vice-Provost for Educational Technology, State University of New York, Buffalo; Kris Stewart, Professor Computer Science, San Diego State University and Director of NPACI/CSU Education Center on Computational Science and Engineering; Gabriele Wienhausen, Provost for the Sixth College, University of California, San Diego

    Computational Science is making possible significant innovations and break-throughs within academia, industry, and government. These improvements have followed the efforts of schools, colleges, and universities to prepare mathematicians, scientists, and engineers with the skills and insights needed to effectively utilize modern computational and informational technologies. Yet many educators are either unaware of how to integrate computational science into their courses, or feel that the mere use of computers in their teaching and research automatically provides them with the necessary "computer savy."

    This panel is directed to faculty, scientists, technologists, deans, and administrators. We aim to stimulate their interests in the developing resources and opportunities for expanding computational science on their own campuses.

    The proposed panel session will address Computational Science and its integration into undergraduate education. Topics to be discussed will include the following:

    • What is computational science?

    • How do Computational Science programs differ from Informatics and Information Technology programs?

    • What balance between mathematics, computer science, and scientific discipline is necessary to ensure a successful program?

    • What are the challenges in keeping this a strong and vibrant triad?

    • Do we really need to educate students in computational science?

    • Will this benefit careers in business and industry? How will this improve research in industry and academia?

    • Which fields will benefit the most?

    • The perspective of needed skills and knowledge within industry.

    • The impact of programs as experienced by their alumni.

    • Review of exemplary programs.

    • What are the qualities in these programs that make them successful and attractive to students?

    • What are the aspects of programs that have not succeeded and should be avoided?

    • The computational science continuum from K-12, to undergraduate to graduate education.

    • What resources and opportunities (including funding) are available or needed to aid educators in integrating computational science into their courses?

    • How do we ensure that these educational innovations address all fields including the social sciences, and are fair to the developers?

    • Cultural and societal issues as we move into a global IT society.

    • Intellectual property, privacy, multi-cultural, and multi-lingual issues.