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Dr. Roland Krause - Course Description

Weidlinger Associates
Los Altos, CA, USA

Complex, real-life engineering problems pose significant challenges which often can be solved with methods of Scientific Computing, a combination of approaches involving applied mathematics, computational engineering and computer science.

The goal of this course is to introduce engineering students to the highly interdisciplinary aspects of Scientific Computing. Students will learn the techniques necessary to build virtual models of physical reality. This process requires knowledge about the problem itself, the derivation of a mathematical model, algorithms for the solution of the corresponding mathematical equations, the choice of suitable implementation techniques, and the use of advanced tools for visualization of the results. Emphasis will be put upon the recognition and estimation of errors that are inherent to numerical approximations. The course will lay a foundation for students to build a reusable toolbox of methods that will prove valuable for advanced research related topics and for practical engineering challenges.