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 (7)
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.