Education Issues in Scientific Computing - Minisymposium
International Conference on
Scientific Computation and Differential Equations
Stanford, California, March 28--April 1, 1995


Introduction and Intent of Minisymposium - Moderator
Kris Stewart, Assoc. Professor, San Diego State University
CSCC, San Diego Supercomputer Center
stewart@sdsu.edu

This minisymposium aims to stimulate discussions by presenting a broad range of views of the educational needs and motivations in scientific computing and computational science & engineering. We will begin with an overview of academic programs currently in place in the U.S. These range from degree programs at the undergraduate as well as graduate level, as well as certificate programs. This is followed by the point of view of the future employer of students trained in this developing field. The government labs are the largest employers of computational scientists, but the private, high-tech sector also has their special needs. We will highlight one of the Department of Energy programs to support the development of undergraduate curricula in computational science. Then we finish with a presentation on the changing nature of education for this developing field.

An Overview of Academic Programs in Computational Science and Engineering
Chuck Swanson, University Marketing
Cray Research, Inc. (cds@cray.com)
Swanson's Abstract
A View from Government Labs on Training Computational Scientists
Richard C. Allen, Manager Applied and Numerical Math Department
Sandia National Laboratories (rcallen@cs.sandia.gov)
Allen's Abstract
An Industrial Perspective on Scientific Computing
Dan Sulzbach, Director of Scientific Computing
Genentech Corporation (sulzbach@gene.com)
Sulzbach's Abstract
A Cooperative Volunteer Program for Undergraduate Curricular Materials
Tom Marchioro, Executive Director, UCES Program
Ames Laboratory, Ames, Iowa (tlm@ameslab.gov)
Marchioro's Abstract
Computational Science and the Changing Nature of Education
Gary M. Johnson, Director, Institute for Computational Sciences and Informatics
George Mason University (garyj@nas.nasa.gov)
Johnson's Abstract