Course Summary and Schedule
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
Language Delivery Method Event status Seats available Sign-up period Session times Rooms Altair Instructor Session status Actions English Virtual Instructor-led - Upcoming
- Booking open
51 Before , Timezone: America/Detroit , - , Timezone: America/Detroit - Upcoming
English Virtual Instructor-led - Upcoming
- Booking open
58 Before , Timezone: America/Detroit , - , Timezone: America/Detroit - Upcoming