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5210. Data Science for Materials and Manufacturing

Also offered as: ME 5702, SE 5702

3.00 credits

Prerequisites:

Grading Basis: Graded

This course will provide students with data analytics skills for knowledge discovery and design optimization. The students will also learn how to apply data mining and machine learning techniques to tackle the challenges in manufacturing and computational materials engineering. Topics include basic concepts of supervised/unsupervised learning, design of experiments and data collection, material image processing, surrogate modeling, optimization and model calibration, multi-fidelity modeling, and applications of data analytics in manufacturing and computational materials engineering problems.


Last Refreshed: 20-DEC-24 05.20.17.275138 AM
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Section Class Number Notes Instructor Enrollment Session Instruction Mode
001 10731 Xu, Hongyi 4/10 Reg Online Synchronous