Education in Scientific Computing

Organizer: G. Golub, Stanford University, USA

Summary: With the advent of powerful computers, including parallel processors and work stations, the methodology of scientific computing represents an important component of engineering and science. It is important to provide advanced training to students with a variety of backgrounds in this area. The education of students working in this area will by necessity be highly interdisciplinary. Applied mathematics, numerical analysis and computer science serve as a unifying theme to this discipline but applications areas will play a vital role, too. We will discuss various programs that have been designed and we shall examine future directions.

Day: July 4, 1995 Time: 09.30

G.H. Golub, Stanford University, USA: to be announced

H.A. van der Vorst, Utrecht University, The Netherlands: to be announced

S. Norsett, Universitetet i Trondheim, Norway: to be announced

M. Griebel, Technische Universität München, Germany;
C. Zenger, Technische Universität München, Germany:
Computational fluid dynamics -- an interdisciplinary course in scientific computing


Last modified: 2 June 1995
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