Spring 2025
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5702. Data Science for Materials and Manufacturing
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
Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
---|---|---|---|---|---|---|---|
1253 10730 1 001 | 001 | 10730 | Xu, Hongyi | 8/15 | Reg | Online Synchronous |