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Learn how to control process variation, including methods to design experiments that capture process behavior and understand means to control variability.
Syllabus
- Multivariate regression for Input-output causality
- Design of experiments (DOE) methods to improve processes
- Response surface methods and process optimization based on DOE methods
- DOE-based methods for achieving processes that are robust to external variations
Taught by
David Hardt and Duane Boning