Introduction to experimental design with JMP

[8 half days] - [English]

Are you involved in the development and optimization of processes? Do you want to know more about the methodology for the design of experiments?

An experimental design describes "how" the different trials of a study should be carried out so that the study objective can be met with maximum precision and minimum "cost." The "how" represents the definition of the purpose and conditions of the experiment, the factors to be varied, the experimental units, the number and sequence of observations to be collected, the experimental set-up, etc.

Introduction to experimental design with JMP [8 half days] - [starts on 13-01-2025 à 09:00] - [English] - [Louvain-la-Neuve]

Training aims

At the end of this course, the participant will know the principles of experimental design methodology and the steps for implementing the necessary tools. He/she will be able to formalize his/her experiment, write the desired model, and identify the appropriate design among the main classes of designs.  He/she will have been introduced to techniques for statistically analyzing results based on real case studies, and he/she will have implemented these techniques using JMP.

Prerequisites

By registering for this course, you commit to having a basic level of knowledge in statistics and experimental practice.

Content

• Benefits and steps of research based on experimental design
• Linear modeling for the analysis of experimental results: quantitative single-factor linear modeling, comparison of methods or treatments by analysis of variance, multi-factor linear modeling, simultaneous optimization of several responses
• Key elements of a successful experimental campaign: what should be defined beforehand, what strategy(ies) should be adopted, what qualities are expected for a good plan?
• Catalogue of experimental designs: factorial designs, designs for factor screening, designs for estimating response surfaces, optimal designs for unconventional problems, designs for mixtures, designs for estimating variance components, organization of homogeneous block tests, designs for non-linear models, etc.

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

This training course is eligible for the training voucher scheme of the Walloon Region.
If you wish to use training vouchers as part of your registration, please visit the following page for further information and contact our administration office.

Tools used during training
JMP

Methods and method families discussed
Planning
   Experimental design
   Power calculation
Parametric statistics of mean comparison
   ANOVA
Regression model
   Simple linear regression
   Multiple linear regression
Software use