Applications of computational science: Data-intensive computing for student projects

Jessica Howard; Omar Padron; Patricia Morreale; David Joiner

doi:10.1109/MCSE.2012.18

Applications of computational science: Data-intensive computing for student projects

Jessica Howard
, Omar Padron
, Patricia Morreale
, David Joiner

Computer Information Systems

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Article number	6159202
Pages (from-to)	84-89
Number of pages	6
Journal	Computing in Science and Engineering
Volume	14
Issue number	2
DOIs	https://doi.org/10.1109/MCSE.2012.18
State	Published - Mar 2012

Keywords

Environmental data mining
fitting
linear model
scientific computing
smoothing

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10.1109/MCSE.2012.18

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title = "Applications of computational science: Data-intensive computing for student projects",

abstract = "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.",

keywords = "Environmental data mining, fitting, linear model, scientific computing, smoothing",

author = "Jessica Howard and Omar Padron and Patricia Morreale and David Joiner",

year = "2012",

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KW - scientific computing

KW - smoothing

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Applications of computational science: Data-intensive computing for student projects

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Keywords

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