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
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced 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
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.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Very tailored to needs.