Design Of Experiments (Doe) With Minitab

What you'll learn
Fundamentals of the Design of Experiments (DoE) using simple to understand examples.
Screening (Plackett-Burman), Modelling (Full, Fractional Factorial and Split Plot Designs) and Optimizing (Central Composite Design) Designs
A quick refresher on ANOVA and Regression Analysis is also included to help you understand the results of analysis clearly.
Clear understanding of Blocking, Analysis of Covariance, Replication, Confounding and Design Resolutions.
Requirements
Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.
Description
The design of experiments is a systematic approach of studying the relationship between various inputs (factors) on the key output (response).This is the basics to the intermediate level course. In this course, we start with the basic understanding of the Design of Experiments (DoE) process by performing manual calculations on simpler processes.Considering the fact that this course will be taken by students from various sectors, we have kept the case studies simpler by using examples such as coffee tasting and catapult. These simple examples will help student focus on the concepts rather than focusing on the specific case studies.This course assumes that you do not have any prior knowledge of the Design of Experiments, but you do have a basic understanding of statistics principles, such as ANOVA and Regression. However, we will review these two topics (ANOVA and Regression) to provide adequate knowledge to interpret the DoE results.The course consists of video lectures, readings...

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