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Applications of Computational Science: Data-Intensive Computing for Student Projects
March-April 2012 (vol. 14 no. 2)
pp. 84-89

A research course for juniors and seniors has been designed to offer students a chance to work with the tools of computational science for large, data-intensive computations on publicly available datasets.

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Index Terms:
Environmental data mining, linear model, fitting, smoothing, scientific computing
Citation:
Jessica Howard, Omar Padron, Patricia Morreale, David Joiner, "Applications of Computational Science: Data-Intensive Computing for Student Projects," Computing in Science and Engineering, vol. 14, no. 2, pp. 84-89, March-April 2012, doi:10.1109/MCSE.2012.18
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