Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences
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Author/Creator
Author/Creator ORCID
Date
2021-03-10
Department
Program
Citation of Original Publication
Wang, J., Gobbert, M.K., Zhang, Z., Gangopadhyay, A. (2021). Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences. In: Arabnia, H.R., Deligiannidis, L., Tinetti, F.G., Tran, QN. (eds) Advances in Software Engineering, Education, and e-Learning. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70873-3_4
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Abstract
Given the context of many institutions moving to online instruction due to the COVID-19 pandemic in 2020, we share our experiences of an online team-based multidisciplinary education program on
big data + high performance computing (HPC) + atmospheric sciences
(cybertraining.umbc.edu). This program focuses on how to apply big
data and high-performance computing techniques to atmospheric sciences. The program uses both an instructional phase with lectures and
team-based homework in all three areas and a multi-disciplinary research
experience culminating in a technical report and oral presentation. The
paper discusses how our online education program can achieve the same
learning objectives as face-to-face instruction via pedagogy and communication methods including flipped classroom, online synchronous meetings and online asynchronous discussion forum.