Course Summary
This is an introductory course teaching the use of HyperStudy to conduct the following: design of experiments (DOE), fit (approximations), and optimization approaches. This course will also cover study setup, study approaches, methods/techniques, applications and post-processing.
Goals and Objectives:
- Define design variables, models and responses
- Set up design of experiments (DOE), fit (approximations), and optimization approaches
- Interpret results from different post-processing approaches