TY - JOUR
T1 - A practical and comprehensive graduate course preparing students for research involving scientific computing
AU - Allen, Gabrielle
AU - Benger, Werner
AU - Hutanu, Andrei
AU - Jha, Shantenu
AU - Löffler, Frank
AU - Schnetter, Erik
N1 - Funding Information:
We acknowledge NSF awards EPS-0701491, OCI 0947825 and PHY 0904015. Funding for SAGA has been provided by the UK EPSRC grant number GR/D0766171/1 (via OMII-UK) and HPCOPS NSF-OCI 0710874. We thank the Center for Computation & Technology for making the classroom used for the course available. We acknowledge TeraGrid allocation TG-SEE100004, LONI allocation loni cactus05 and the support of Vicki Halberstadt. We thank the FutureGrid team, in particular Greg Pike and Geoffrey Fox, for outstanding support. FutureGrid is supported by NSF 0910812. We thank Dr Coretta Douglas for curricula and logistical advice. We thank Marcel Ritter, Andre Merzky and Sharath Maddineni for their assistance.
PY - 2011
Y1 - 2011
N2 - We describe a new graduate course in scientific computing that was taught during Fall 2010 at Louisiana State University. The course was designed to provide students with a broad and practical introduction to scientific computing which would provide them with the basic skills and experience to very quickly get involved in research projects involving modern cyberinfrastructure and complex real world scientific problems. The course, which was taken by thirteen graduate students, covered basic skills, networks and data, simulations and application frameworks, scientific visualization, and distributed scientific computing. Notable features of the course include a modularized team-teaching approach, and the integration of national cyberinfrastucture with teaching.
AB - We describe a new graduate course in scientific computing that was taught during Fall 2010 at Louisiana State University. The course was designed to provide students with a broad and practical introduction to scientific computing which would provide them with the basic skills and experience to very quickly get involved in research projects involving modern cyberinfrastructure and complex real world scientific problems. The course, which was taken by thirteen graduate students, covered basic skills, networks and data, simulations and application frameworks, scientific visualization, and distributed scientific computing. Notable features of the course include a modularized team-teaching approach, and the integration of national cyberinfrastucture with teaching.
KW - Computation
KW - Education
KW - Scientific computing
UR - http://www.scopus.com/inward/record.url?scp=79958280817&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79958280817&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2011.04.210
DO - 10.1016/j.procs.2011.04.210
M3 - Conference article
AN - SCOPUS:79958280817
SN - 1877-0509
VL - 4
SP - 1927
EP - 1936
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 11th International Conference on Computational Science, ICCS 2011
Y2 - 1 June 2011 through 3 June 2011
ER -