Graduate Embedded Certificate in Computational Materials Science and Engineering
The learning outcomes for the Certificate are:
(1) Broad contextual knowledge of multiple computational methods adopted in materials related disciplines,
(2) Hands-on experience in at least one computational method, and
(3) Ability to understand and interpret computational components of research articles and technical reports. These outcomes will be evaluated by their grades and scores in the appropriate parts of the respective courses.
Contact the School of Materials Science and Engineering for more information.
|MSE 6140||Computational Materials Science and Engineering||3|
|Mathematical, Statistical, and Computational Techniques in Materials Science|
|Special Topics (Density Functional Theory for Materials Scientists)|
|Special Topics (Molecular Dynamics and Monte Carlo Methods)|
|Special Topics in Mechanics of Materials (Materials Informatics)|
|Interactive Computer-Aided Design and Computer-Aided Engineering|
|Finite-Element Method: Theory and Practice|
|Total Credit Hours||12|