Join us for our Expert Course in Modern Design of experiments
- Online-Live training
- Advanced course for statisticians
- 4 x half a day 8.30AM -12.30 PM (CET and CST)
- 5 - 7 - 12 - 14 May 2025
- Instructors:
- Prof. Peter Goos (KU Leuven and University of Antwerp)
- Dr. Jose Nunez Ares (Co-founder and CSO Effex)
INCLUDED
- Use of software
- All course materials
This course dives deep into advanced DoE methodologies to streamline experimental design, optimize processes, and extract maximum insight. Expect high-level discussions on complex designs, model refinement, and real-world applications—all with a focus on efficiency and precision.
Let’s push DoE to its limits.
Is this course for me?
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- You have previous experience in DoE and want to deepen your expertise.
- You want to stay ahead of the latest evolutions in DoE.
- You know methodologies evolve fast and want to stay updated with the latest trends.
- You are looking for practical guidance with real-world illustrations.
- You work with complex experimental designs and need advanced techniques.
- You are interested in screening, optimization, and model selection criteria.
- You analyze multi-response datasets and work with random effects.
- Your models don’t always perform as expected – You know model selection is key, but it feels like guesswork rather than a structured approach.

Day 1: Optimal design of Experiments
Optimals Design Criteria, Pareto optimal design, Hard-to-Change factors
Day 3: OMARS designs
Uniform precision OMARS designs, Non-uniform precision OMARS designs, Mixed-level OMARS designs, Strong OMARS designs, Blocking
Day 2: Advances in Doe
Screening and optimization in a single experiment, Criterial for selecting designs, Correlation measures, Replicates. Alternatives to Plackett-Burman designs
Day 4: Analyzing data from designed experiments
All subset regression and MIO, Raster plots, Criteria for model selection, Pareto optimal model selection, Datasets with random effects, Multi-response optimization