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