Sukhija, N., & Haupt, T. A., & Horstemeyer, M. F. (2014, June), Enhancing and Supporting Integrated Computational Material Science Engineering Education  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20412

\bibitem{asee_peer_20412}
  Sukhija, N., \& Haupt, T. A., \& Horstemeyer, M. F. (2014, June), \emph{Enhancing and Supporting Integrated Computational Material Science Engineering Education}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--20412

Nitin Sukhija, Tomasz A. Haupt, and Mark Fredrick Horstemeyer.  "Enhancing and Supporting Integrated Computational Material Science Engineering Education".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/20412 Internet.  10 May, 2024

\bibitem{asee_peer_20412}
  Nitin Sukhija, Tomasz A. Haupt, and Mark Fredrick Horstemeyer.
  "Enhancing and Supporting Integrated Computational Material Science Engineering Education".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/20412 Internet.  10 May, 2024

@INPROCEEDINGS{asee_peer_20412
author = "Nitin Sukhija, Tomasz A. Haupt, and Mark Fredrick Horstemeyer"
title = "Enhancing and Supporting Integrated Computational Material Science Engineering Education"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20412}
number = {10.18260/1-2--20412}
}

TY  - CPAPER
AB  -                Enhancing and Supporting Integrated Computational                    Material Science Engineering EducationIntegrated Computational Materials Engineering (ICME) is an emerging discipline that aims tointegrate computational material science tools into a holistic system than can accelerate materialsdevelopment, transform engineering design optimization, and unify product design andmanufacturing. The concept of ICME arose from the new simulation-based design paradigm thatemploys a hierarchical multiscale modeling approach to relate phenomena that occur at differentlength scales. Consequently, the application of ICME methods, that is, performing multiscalesimulations, requires multidisciplinary expertise in modeling these phenomena usingmultifarious computational tools. The realization of the anticipated revolutionary change inmaterial engineering offered by ICME critically depends on the ability to teach the arcana ofmultiscale modeling to engineering graduate students. To address this challenge, we havedeveloped a new graduate course, entitled “Integrated Computational Materials Engineering(ICME) for Metals” (ME8990). This course is also deployed for online learning in a virtualclassroom. The course was taught for the first time during the Fall 2012 semester and is beingtaught for the second time during the Fall 2013 semester. The course design is based on blendedlearning approach to facilitate integration of advanced technological resources (ICMECyberinfrastructure) with traditional pedagogical practices (textbook, Mark F. Horstemeyer,“ICME for Metals”).The interdisciplinary course curriculum is fragmented into independent learning modules witheach module focusing on teaching different material length scales with its respectivecollaborative student group assignments and learning outcomes. In addition to teachingtheoretical concepts of ICME paradigm (based on the textbook), the course lectures aresupplemented with in-class practical training sessions using the resources accessible onlinethrough ICME Cyberinfrastructure (CI) named Engineering Virtual Organization forCyberDesign (EVOCD). The resources enabled though the shared CI include experimental data,material models and constants, computational tools and software artifacts, and the knowledgepertaining to multiscale physics-based models. These resources are used with different modulesto investigate experimental procedures for model exploration, model calibration, and modelvalidation as well as failure prevention in the context of a diverse set of real world case studies.The emphasis of this course is to teach students in a modular fashion the essential concepts ofcomputational tools describing phenomena at different length scales, to perform simulations atdifferent scales, and to bridge all this information together to determine process-structure-properties-performance relations of materials. On successful completion of the assignedcollaborative projects, all students are required to update their learning contributions on theICME CI portal Wiki, facilitating easy assessment of student achievements. Moreover, using theexample case studies, PowerPoint lectures, computational tools and other resources which aremade available via Wiki based EVOCD web portal, academic institutions or industry memberscan seamlessly deploy and teach this ICME course in real classrooms or virtually throughdistance learning. This paper provides details on how the course has been formulated, deployedand assessed.
AU  - Nitin Sukhija
AU  - Tomasz A. Haupt
AU  - Mark Fredrick Horstemeyer
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - Enhancing and Supporting Integrated Computational Material Science Engineering Education
UR  - https://peer.asee.org/20412
DO  - 10.18260/1-2--20412
ER  -