Title :
Applications of Computational Science: Data-Intensive Computing for Student Projects
Author :
Howard, Jessica ; Padron, Omar ; Morreale, Patricia ; Joiner, David
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 :
computer science education; educational courses; research and development; very large databases; computational science; data-intensive computations; data-intensive computing; large computations; publicly available datasets; research course; student projects; Data mining; Equations; Fitting; Mathematical model; Scientific computing; US Government agencies; Vectors; Environmental data mining; fitting; linear model; scientific computing; smoothing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2012.18