Wang, JianwuGobbert, Matthias K.Zhang, ZhiboGangopadhyay, Aryya2021-03-312021-03-312021-03-10Wang, 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_4http://hdl.handle.net/11603/21268https://doi.org/10.1007/978-3-030-70873-3_4FECS'20 - The 16th Int'l Conf on Frontiers in Education: Computer Science and Computer Engineering | Jul 27-30, 2020FECS'20, FCS'20, SERP'20, and EEE'20Given 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.13 pagesen-USThis 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.UMBC High Performance Computing Facility (HPCF)UMBC Big Data Analytics LabText