HyperStudy Introduction

This is an introductory course teaching the use of HyperStudy to conduct the following: design of experiments (DOE), fit (approximations), optimization, and stochastic studies.  This course will also cover study setup, study approaches, methods/techniques, applications and post-processing.

Prerequisites:

A basic knowledge of CAE

Goals and Objectives:

• Define design variables, models and responses
• Set up design of experiments (DOE), fit (approximations), optimization and stochastic approaches.
• Interpret results from different post-processing approaches