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