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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