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Modern science and engineering have become increasingly reliant upon
computation as an aid to development, design, and research. Moreover,
it has become clear that solving large-scale scientific and engineering
problems usually requires knowledge that straddles several disciplines.
In particular, such projects almost
always are critically dependent upon some aspects of the mathematical and
computational sciences. This includes, among others, a knowledge of
mathematical modeling, state-of-the-art numerical analysis, symbolic
and logic analysis, software development tools for high performance
computer architectures and, especially, parallel and vector computers,
graphical analysis, visualization, and networking.
There is a growing call for more people trained in this increasingly important,
interdisciplinary field now variably called, it scientific computing or it
computational science.
In 1998 the
University of Pittsburgh responded to this call
by establishing the Bachelor of Science Degree in the discipline of
Scientific Computing
to be operated jointly by the
Department of Mathematics and the
Department of Computer Science.
The basic major in Scientific Computing consists of at least 52 credits of courses in mathematics and computer science and, in addition, requires a minor of at
least 12 credits of courses in a related area of the physical or biological sciences, economics, or an approved area of engineering. However, students are exempt from taking two second-level General Education courses in CAS.
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