Document Type
Article
Publication Date
2021
DOI
10.22369/issn.2153-4136/12/2/1
Publication Title
Journal of Computational Science Education
Volume
12
Issue
2
Pages
3-10
Abstract
DeapSECURE is a non-degree computational training program that provides a solid high-performance computing (HPC) and big-data foundation for cybersecurity students. DeapSECURE consists of six modules covering a broad spectrum of topics such as HPC platforms, big-data analytics, machine learning, privacy-preserving methods, and parallel programming. In the second year of this program, to improve the learning experience, we implemented a number of changes, such as grouping modules into two broad categories, "big-data" and "HPC"; creating a single cybersecurity storyline across the modules; and introducing post-workshop (optional) "hackshops." Two major goals of these changes are, firstly, to effectively engage students to maintain high interest and attendance in such a non-degree program, and, secondly, to increase knowledge and skill acquisition. To assess the program, and in particular the changes made in the second year, we evaluated and compared the execution and outcomes of the training in Year 1 and Year 2. The assessment data shows that the implemented changes have partially achieved our goals, while simultaneously providing indications where we can further improve. The development of a fully on-line training mode is planned for the next year, along with a reproducibility pilot study to broaden the subject domain from cybersecurity to other areas, such as computations with sensitive data.
Original Publication Citation
Purwanto, W., He, Y., Ossom, J., Zhang, Q., Zhu, L., Arcaute, K., Sosonkina, M., & Wu, H. (2021). DeapSECURE computational training for cybersecurity students: Improvements, mid-stage evaluation, and lessons learned. Journal of Computational Science Education, 12(2), 3-10. https://doi.org/10.22369/issn.2153-4136/12/2/1
Repository Citation
Purwanto, W., He, Y., Ossom, J., Zhang, Q., Zhu, L., Arcaute, K., Sosonkina, M., & Wu, H. (2021). DeapSECURE computational training for cybersecurity students: Improvements, mid-stage evaluation, and lessons learned. Journal of Computational Science Education, 12(2), 3-10. https://doi.org/10.22369/issn.2153-4136/12/2/1
ORCID
0000-0002-2124-4552 (Purwanto), 0000-0002-4256-8476 (He)
Included in
Artificial Intelligence and Robotics Commons, Information Security Commons, Science and Mathematics Education Commons, Vocational Education Commons
Comments
© 2021 Journal of Computational Science Education, a supported publication of the Shodor Education Foundation Inc. Included with the kind written permission of the editor.