Design of Experiments | DOE

Design of Experiments ( DOE ) is a statistical tool which helps you to design any experiment properly toward right conclusions. In this beginner online course, you learn by examples and you will know first what is design of experiment and the aim behind it, then you will go deeper thus learning how to plan, execute and analyze any experiment properly using this powerful tool. You will also encounter both types of factorial designs here ( Full Factorial Design and Fractional Factorial Design). This tutorial will allow any newbie fully learn how to plan, execute and analyze any experiment properly, thus  making the right conclusions out it.

This tool is obligatory for any scientist or engineer, especially those working within the research and development sector and is also essential for those who practice and work with six sigma.

The course starts preparing you in PART I, thus making you familiar with the DOE definition, noise factors, relations and levels .

Part II then teaches you how to set all the relevant parameters so that you can then plan your experiment using the full or fractional factorial designs.

In Part III, you will learn how to execute your experiment afterwards in a way that you ensure highest accuracy in the results.

In part IV, you will then learn how to analyze the acquired results in your experiments using two different ways, either by charts, or by analysis of variance (Two-way ANOVA).

• Sec01 Lec00 Introduction
• Sec01 Lec01 Definition
• Sec01 Lec02 Relations
• Sec01 Lec03 Error
• Sec01 Lec04 Levels
• Sec02 Lec01 Set all Parameters
• Sec02 Lec02 Full Factorial Design
• Sec02 Lec03 Fractional Factorial Design
• Sec03 Lec01 Execute the Experiment
• Sec04 Lec01 Analyze by Charts
• Sec04 Lec02 Analyze by ANOVA