Abstract
Computational materials modeling and design has emerged as a vital component of materials research and development in academic, industrial, and national lab settings. In response, US Materials Science and Engineering (MatSE) departments and the federal government recognize 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 curriculum. Throughout their coursework, undergraduates complete a series of computational modules of progressing complexity, each module modeling the principles taught in its containing 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 initial 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 computational modules, lectures, and their integration within the broader MatSE curriculum.
| Original language | English (US) |
|---|---|
| Journal | ASEE Annual Conference and Exposition, Conference Proceedings |
| Volume | 2017-June |
| State | Published - Jun 24 2017 |
| Event | 124th ASEE Annual Conference and Exposition - Columbus, United States Duration: Jun 25 2017 → Jun 28 2017 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Computational curriculum for MatSE undergraduates. / Kononov, Alina; Bellon, Pascal; Bretl, Timothy Wolfe; Ferguson, Andrew; Herman, Geoffrey Lindsay; Kilian, Kristopher Alan; Krogstad, Jessica Anne; Das Neves Barbosa Leal Lauten, Cecilia; Maass, Christoph Robert Eduard; Schleife, Andre; Shang, Jian Ku; Trinkle, Dallas; West, Matthew.
In: ASEE Annual Conference and Exposition, Conference Proceedings, Vol. 2017-June, 24.06.2017.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Computational curriculum for MatSE undergraduates
AU - Kononov, Alina
AU - Bellon, Pascal
AU - Bretl, Timothy Wolfe
AU - Ferguson, Andrew
AU - Herman, Geoffrey Lindsay
AU - Kilian, Kristopher Alan
AU - Krogstad, Jessica Anne
AU - Das Neves Barbosa Leal Lauten, Cecilia
AU - Maass, Christoph Robert Eduard
AU - Schleife, Andre
AU - Shang, Jian Ku
AU - Trinkle, Dallas
AU - West, Matthew
PY - 2017/6/24
Y1 - 2017/6/24
N2 - Computational materials modeling and design has emerged as a vital component of materials research and development in academic, industrial, and national lab settings. In response, US Materials Science and Engineering (MatSE) departments and the federal government recognize 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 curriculum. Throughout their coursework, undergraduates complete a series of computational modules of progressing complexity, each module modeling the principles taught in its containing 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 initial 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 computational modules, lectures, and their integration within the broader MatSE curriculum.
AB - Computational materials modeling and design has emerged as a vital component of materials research and development in academic, industrial, and national lab settings. In response, US Materials Science and Engineering (MatSE) departments and the federal government recognize 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 curriculum. Throughout their coursework, undergraduates complete a series of computational modules of progressing complexity, each module modeling the principles taught in its containing 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 initial 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 computational modules, lectures, and their integration within the broader MatSE curriculum.
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M3 - Conference article
AN - SCOPUS:85030544210
VL - 2017-June
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
SN - 2153-5965
ER -