Data Analytics and Machine Learning for Materials Science

Carnegie Mellon University · UGRD · Fall 2026

1 section

Catalog description

Materials Science and Engineering has traditionally been taught by emphasizing the development and application of technology. This course will present an alternative approach that combines data analytics and machine learning with material fundamentals (i.e. materials informatics). Prerequisites: 19-250 or 36-220

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Class #carnegie_mellon-27537Fall 2026UGRD9 credits

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Instructor: Staff

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