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Home Groups Materials Genome Education (MaGE) Collaborative
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  • Join Policy Restricted
  • Created 25 Feb 2014

About the Group

This group serves as a collaboration space for the development of curricular innovations aimed at weaving computation into the core of Materials Science and Engineering education, particularly at the undergraduate level. Participants are encouraged to share resources publicly via the nanoHub and provide solution sets and implementation notes via this group. Participants work together via projects to improve and customize these materials. By sharing their revisions faculty are able to disseminate their contributions to the project and obtain critical feedback. Assessments are also developed via this mechanism to gauge the success of these curricular innovations in fostering student learning.

Current MaGE projects include:

Materials Genome Education: Infused Computation (mage:ic)

This curricular innovation consists of a dozen computational modules that are meant to be embedded within typical core undergraduate courses in Materials Science and Engineering. These modules were developed and tested in the Materials Science and Engineering department at Johns Hopkins University. They have been the subject of a number of articles in the engineering education research literature. Modules include:

  • biomat1: polymerization
  • thermo1: equation of state (Mathematica)
  • thermo2: magnetism (MATLAB)
  • thermo3: phase diagrams (Thermocalc)
  • struct1: ordering and phase separation (MATLAB)
  • struct2: polymer conformation (MATLAB)
  • kinetics1: diffusion (COMSOL)
  • kinetics2: spinodal decomposition and growth (COMSOL)
  • mech1: elastoplastic loading (COMSOL)
  • mech2: dislocation processes (MATLAB)
  • eom1: wave packets (MATLAB)
  • eom2: quantum wells (MATLAB)

Materials Genome Education: Programming Introduction (mage:pi)

A first course in computer programming in MATLAB taught within the disciplinary context of Materials Science and Engineering. Forthcoming., a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.