Abstract
The undergraduate years of one’s educational career are among the most formative in terms of education and research outlook. The university education should both broaden the student’s perspective, while simultaneously sharpening critical thinking skills. Though classroom experience is beneficial, it is incomplete. The purpose of this paper is to address some of the issues associated with providing computational science and engineering education at the undergraduate level by surveying efforts made at the University of Utah. Specifically, we will describe a program that allows students to become involved in research during their undergraduate years, and will provide two success stories demonstrating its efficacy. We also discuss efforts being made at associated undergraduate curriculum reform.
Chapter PDF
Similar content being viewed by others
Keywords
- Down Syndrome
- Direct Numerical Simulation
- Engineering Education
- Computational Science
- Critical Thinking Skill
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Berzins, M., Kirby, R.M., Johnson, C.R.: Integrating Teaching and Research in HPC: Experiences and Opportunities. In: Proceedings of the International Conference on Computational Science (2005)
Hamman, C.W., Kirby, R.M., Berzins, M.: Parallelization and scalability of spectral element solver. SCI Institute Report UUSCI-2005-011
Grandine, T.A.: The numerical methods programming projects book. Oxford University Press, Oxford (1990)
Turing, A.M.: The chemical basis of morphogensis. Phil. Trans. Roy. Soc. Lond. B237, 37–72 (1952)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kirby, R.M., Johnson, C.R., Berzins, M. (2006). Involving Undergraduates in Computational Science and Engineering Research: Successes and Challenges. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758525_20
Download citation
DOI: https://doi.org/10.1007/11758525_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34381-3
Online ISBN: 978-3-540-34382-0
eBook Packages: Computer ScienceComputer Science (R0)