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Empirical Analysis of Strategies Employed Within an ICT Curriculum to Increase the Quantity of Graduates Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences

Authors : Jianwu Wang, Matthias K. Gobbert, Zhibo Zhang, Aryya Gangopadhyay

Published in: Advances in Software Engineering, Education, and e-Learning

Publisher: Springer International Publishing

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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 multidisciplinary 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.

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previous chapter Examining the Influence of Participating in a Cyber Defense Track on Students’ Cybersecurity Knowledge, Awareness, and Career Choices
next chapter Integrating the Development of Professional Skills Throughout an ICT Curriculum Improves a Graduate’s Competency
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Metadata
Title
Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences
Authors
Jianwu Wang
Matthias K. Gobbert
Zhibo Zhang
Aryya Gangopadhyay
Copyright Year
2021
Book
Advances in Software Engineering, Education, and e-Learning

Print ISBN: 978-3-030-70872-6

Electronic ISBN: 978-3-030-70873-3

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-70873-3_4