Computational Science Initiative - 0 views
Master of Science in Computational Science - 0 views
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innovative new degree that addresses the growing national and regional demand for trained computational scientists.
CF: The Curriculum Foundations Project - 0 views
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Chapter 5 Computer Scienceby Charles Kelemen
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Chapter 11 Interdisciplinary Core Mathematicsby Chris Arney and Don Small
Computational Science in the Mathematics Curriculum - 0 views
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Computational science is the orphan of the sciences. Viewed as a collection of tools rather than as a discipline, it falls somewhere between Mathematics and Computer Science, usually fitting the self-image of neither discipline and therefore neglected. But it is of critical importance to many disciplines, among them Biology.
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Biology is becoming much more mathematical, but this is not the mathematics that I was taught as an undergraduate. It is the mathematics of data analysis and modeling made possible by the computing power that is now available. It is rooted in computational science.
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Most of these themes hold for all of the sciences as well as many of the social sciences.
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School of Computational Science - - 0 views
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In today's economy, there is an increasing need for students who possess scientific and computational expertise as well as management and leadership skills.
Automatic email alerts... - 10 views
Done. So, if I understand the system correctly, you should not receive this reply via email now. --- wmharris wrote: > Uh, yeah, maybe I should... > > > dannythorne wrote: > > Do you want to t...
Rubin Landau, Oregon State University - 0 views
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too many science and engineering graduates do not have strong enough backgrounds in computation to take advantage of these recent developments, while many computer science graduates do not have the background in mathematics and science needed for technical fields.
Faculty of Science: Computational Science - 0 views
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Each student major in computational science from the outset should decide which other science discipline he or she wish to take besides the computational science proper. The choice at the moment is chemistry, physics, or mathematics. Computational science with biology is not available, but we may introduce it in the future.
Computational Engineering - TU Darmstadt - 0 views
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Computational modeling, simulation and optimization in the engineering sciences is a multi-disciplinary key discipline for academic research and industrial development as well as one of TU Darmstadt's central focus areas of research and education.
NCSI: Home - 0 views
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These workshops are primarily designed for undergraduate faculty, giving these faculty members ideas and resources to use in their classrooms.
Developing Computational Science Curriculum using the World Wide Web - 0 views
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Two new courses also involve substantive use of the World Wide Web in teaching the material of the course and in developing web tools which can be used to develop the course materials and their hypertext environment.
Introduction to Computational Science - 0 views
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much scientific investigation now involves computing as well as theory and experiment. However, limited educational materials exist. Introduction to Computational Science: Modeling and Simulation for the Sciences fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow several pathways through the material.
SC02.notes.pdf (application/pdf Object) - 0 views
SIAM: Graduate Programs in Computational Science - 0 views
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Computational Science Undergraduate Programs
ANU - Bachelor of Computational Science (BComptlSci) - 0 views
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In many branches of science, computation is given equal weight to theory and experiment.
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"I think the key thing that got me this job was my solid training in finite difference methods, Monte Carlo methods, PDEs etc etc... They've been looking for someone with my exact training for some time now!"
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The degree program is built on a core of advanced mathematics and computer science courses linked with a specialist area of science. These core courses provide the training in the formulation, analysis, modelling and simulation of problems in science, engineering, commerce and industry. Typical areas of specialisation are physics, chemistry, biology, geology, geography, environmental sciences, applied mathematics, astrophysics, economics, finance and computer science. In this way the general mathematical and computing skills obtained from the core courses can be applied in a sophisticated manner in a specialisation area. Students will take two computational science extension activities which aim to introduce students to the application of computational science to scientific and industrial problems.
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