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MATE 475 Materials Data Analysis 3.0 Credits

Students will learn and exercise common statistical methods for the analysis and interpretation of numerical data in materials science and engineering. Students will also be exposed to the data mining and machine learning techniques applied in materials science and engineering. The course will emphasize providing students fruitful hands-on experience of commonly used platforms to perform (big) data analysis and solve materials-relevant problems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: CIVE 375 [Min Grade: D] or MATE 370 [Min Grade: D]

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