June 24, 2017
June 24, 2017
June 28, 2018
Computational materials modeling and design has emerged as a vital component of materi- als research and development in academic, industrial, and national lab settings. In response, US Materials Science and Engineering (MatSE) departments and the federal government rec- ognize the need to incorporate computational training into undergraduate MatSE education. Our faculty team at the University of Illinois at Urbana-Champaign (UIUC) is addressing this growing need with a comprehensive computational component integrated into the MatSE cur- riculum. Throughout their coursework, undergraduates complete a series of computational modules of progressing complexity, each module modeling the principles taught in its con- taining course. Computational lectures accompany most modules and further illustrate how computational methods solve real-life science and engineering problems. The computational curriculum is supported by a dedicated teaching assistant who helps with module development, delivers computational lectures, and offers additional office hours. Now, three years since ini- tial implementation, multiple student cohorts have experienced the computational curriculum at all course levels. In this paper, we present new results on the efficacy of the computational curriculum and share more information about our continued efforts to improve the computa- tional modules, lectures, and their integration within the broader MatSE curriculum.
Kononov, A., & Bellon, P., & Bretl, T., & Ferguson, A. L., & Herman, G. L., & Kilian, K. A., & Krogstad, J. A., & Leal, C., & Maass, R., & Schleife, A., & Shang, J. K., & Trinkle , D. R., & West, M. (2017, June), Computational Curriculum for MatSE Undergraduates Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/28060
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