Training the next generation of computational scientists through a new undergraduate course
| dc.contributor.author | Kaman, Tulin | |
| dc.contributor.author | Rostamian, Rouben | |
| dc.contributor.author | Dingman, Shannon W. | |
| dc.date.accessioned | 2022-05-31T21:36:21Z | |
| dc.date.available | 2022-05-31T21:36:21Z | |
| dc.date.issued | 2022-04-05 | |
| dc.description.abstract | We introduce a newly designed undergraduate-level interdisciplinary course in scientific computing that aims to prepare students as the next generation of research-oriented computational scientists and engineers. The course offers students opportunities to explore a diverse set of projects and develop the necessary programming skills to implement ideas and algorithms within high performance computing environments. The training includes how to think about, formulate, organize, and implement programs in scientific computing. The emphasis of the course is on problem solving within a wide range of applications in science and engineering. | en_US |
| dc.description.sponsorship | This research is supported by the Arkansas High Performance Computing Center which is funded through multiple National Science Foundation grants and the Arkansas Economic Development Commission. Use of computational facilities on the Pinnacle at the University of Arkansas is gratefully acknowledged. This work was supported by a grant from the Shodor Education Foundation through Blue Waters Student Internship Program. This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) bridges.psc.xsede.org at the Pittsburgh Supercomputing Center through allocation DMS190029. | en_US |
| dc.description.uri | https://arxiv.org/abs/2204.01488 | en_US |
| dc.format.extent | 16 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.genre | preprints | en_US |
| dc.identifier | doi:10.13016/m26wko-a8i1 | |
| dc.identifier.uri | https://doi.org/10.48550/arXiv.2204.01488 | |
| dc.identifier.uri | http://hdl.handle.net/11603/24770 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Mathematics Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
| dc.title | Training the next generation of computational scientists through a new undergraduate course | en_US |
| dc.type | Text | en_US |