Bridging the HPC Talent Gap with Computational Science Research Methods BRIDGE Workshop at ICCS 2016

International Conferences 2016

URL:  http://www.sciencedirect.com/science/article/pii/S1877050916310274

Authors: Alexandrov, Nia

Research Lines: Curricula Development and Quality Assurance in Higher Education and Professional Training

Teams:  Education and Training

Publication: Procedia Computer Science

Place Published: International Conference on Computational Science 2016 6-8 June 2016, San Diego, USA, Elsevier

Volume / Pagination: 80 / 1777–1779

Paraules clau: Computational Science, Data Science, Research Skills, Talent Gap, University education