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

Access to Document

10.1109/MCSE.2012.18

Cite this

@article{8927c074d6b94c3a84e978877ae2f0ef,

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",

month = mar,

doi = "10.1109/MCSE.2012.18",

language = "English",

volume = "14",

pages = "84--89",

journal = "Computing in Science and Engineering",

issn = "1521-9615",

publisher = "IEEE Computer Society",

number = "2",

}

TY - JOUR

T1 - Applications of computational science

T2 - Data-intensive computing for student projects

AU - Howard, Jessica

AU - Padron, Omar

AU - Morreale, Patricia

AU - Joiner, David

PY - 2012/3

Y1 - 2012/3

N2 - 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.

AB - 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.

KW - Environmental data mining

KW - fitting

KW - linear model

KW - scientific computing

KW - smoothing

UR - https://www.scopus.com/pages/publications/84858267004

U2 - 10.1109/MCSE.2012.18

DO - 10.1109/MCSE.2012.18

M3 - Article

AN - SCOPUS:84858267004

SN - 1521-9615

VL - 14

SP - 84

EP - 89

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

IS - 2

M1 - 6159202

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this