I. INTRODUCTION
Computational science and engineering (CSE) is an interdisciplinary field
that applies the techniques of computer science and mathematics to solving
physical, biological, and engineering problems. CSE emerged as a discipline
with the advent of supercomputers in the 1970s. Today, the methods of
CSE can also be used with cost-effective PCs and workstations making them
available to a large number of scientists and engineers studying complex events
such as car crashes, protein folding, and the formation of galaxies.
The increased use of computational science in government laboratories and
industry has generated a corresponding demand to educate science and engineering
students in the techniques of CSE. Colleges and universities are meeting
this demand by developing courses and programs. Two recent initiatives
(by the University of New Mexico, Albuquerque High Performance Computing Center1
and the Working Group on CSE Education at SIAM2) have surveyed
graduate level programs. This report focuses on undergraduate programs
at thirty four US institutions, including liberal arts colleges, small universities,
and large research universities.
After all these current courses and programs have been considered, however,
two questions still remain without complete answers: (1) what is the intellectual
core of computational science and engineering? (2) what constitutes an interdisciplinary
undergraduate CSE program? The Krell Institute is helping to organize resources
and opportunities for the computational science and engineering community
to more fully answer these questions. In addition to this survey paper,
web pages devoted to undergraduate computational science and education will
be available on the Krell Institute
site, various groups will be convened to evaluate relevant issues, and workshops
and/or conferences will be organized to involve the broader science and engineering
community.
1. Martha Lee Ennis, Update on the Status of Computational Science and Engineering in U.S. Graduate Programs, Albuquerque High Performance Computing Center, The University of New Mexico, AHPCC99-023, September 28, 1999.
2. Working group on CSE Education, Graduate Education in Computational Science and Engineering, SIAM Review, Vol. 43, No. 1, pp. 163-177, March 2001.