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.

Core Course
MSE 6140Computational Materials Science and Engineering3
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
Computational Chemistry
Total Credit Hours12