Optimisation Designs - Statistical Solutions by Creascience

Once influential factors are identified, the next goal usually consists of optimising their settings.
This module covers the construction of experimental designs for optimisation applications. Several types of optimisation designs exist. Data modelling is carried out with response surface methodology – RSM.

Course Outline

The recommended duration for this course is 2 online session(s).

The most popular version of this course comprises 2 sessions described as follows:

Session 1: Context of Use & Objectives - Design of Optimal Designs

Session 2: Statistical Analysis of Optimisation Designs

Response surface methodology (RSM)
Modelling: training, validation
Use of Model

Target Audience

This course is aimed at engineers, researchers, biologists and depending on the target audience, the course is adapted. On the one hand by using examples specific to the field of application and on the other hand by presenting specific tools or applications, if applicable. This module introduces advanced concepts in DoE and corresponding data analysis methods (factorial designs and multi-way ANOVA and linear regression).