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MECE 2000P - Demystifying Material Data Sci |
This course will introduce you to the basic foundational concepts and tools involved in the application of data science and informatics to problems in multiscale materials discovery, development, and deployment. Beginning with a general introduction for nonexperts, the course will include various hands-on tutorials and demonstrations of emergent open-source tools and approaches customized specifically for materials informatics. Specific focus will be on data accumulation, curation, and management; how to derive surrogate models for materials property predictions, design, and discovery across chemical spaces; multiscale modeling under uncertainty; and the extraction of high-fidelity, reduced-order, Process-Structure-Property (PSP) linkages that constitute the essential knowledge needed to support materials innovation efforts.
Required prerequisite(s):
Undergraduate background in materials science/engineering or related fields
Recommended prerequisite(s):
DL 0019M - Materials Data Sciences and Informatics
Familiarity with the Polymer Genome platform
1.950 Continuing Education Units 19.500 Lecture hours Syllabus Available Grade Basis: 2 Mechanical Engineering Division Professional Education Department Course Attributes: PE No Attribute Assigned |
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