Course Outline
Introduction to Design of Experiments (DoE)
Understanding the Types of Experimental Designs
Designing Factorial Experiments
Analyzing a Replicated and an Unreplicated Full Factorial
Screening Experiments
Fractional Factorial Designs
Custom Screening Designs
Overview of Response Surface Designs
Analyzing Response Surface Experiments
Creating Custom Response Surface Designs
Performing a Sequential Experimentation
Understanding the DoE Guidelines
Defining the Problem and Objectives
Preparing to Perform the Experiment
Best Practices
Summary and Next Steps
Requirements
- Knowledge and experience in conducting experimentations
Audience
- Scientists
- Engineers
Testimonials (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.