Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | Size: 2.52 GB | Duration: 3.5 hours

Fundamentals of the Design of Expents (DoE).

What you'll learn

Basic concepts of hypothesis testing, analysis of variance and mean comparison.

Factorial designs, single-replicate designs, blocking and confounding, fractional designs.

How to present the final results (bar charts, contour plots, tables) and how to interpret them.

Requirements

No specific pre-requisite is needed.

Description

This course covers the fundamentals of the design and analysis of expents (DoE).

Expentation plays an important role in science, technology, product design and formulation, commercialization, and process improvement. A well-designed expent is essential once the results and conclusions that can be drawn from the expent depend on the way the data is collected.

This course is about planning and conducting expents and about analysing the resulting data so that valid and objective conclusions are obtained.

The course bs with some basic statistics concepts to understand the fundamentals of hypothesis testing and analysis of variance. Then we introduce the idea of factorial designs, with the definition of effects and interactions between factors. The following sections will focus the widely used 2-level factorial designs. We will cover full homogeneous designs, blocked designs and fractional designs. The whole course is illustrated with practical examples to help with understanding.

The course focuses on the understanding of the principles used in the design of expents and on the critical analysis and discussion of the results.

The analysis of the data will use MS Excel and R-Studio. Although this is not an R course, even students that are not familiar with R can enroll it. The R codes used can be ed, the functions will be briefly explained, and the codes can be easily adapted to analyse the student's own data.

Any person who performs expents will benefit from this course.

By the end of this course, the student will be able to:

- Choose the most suitable expental design;

- Analyse the expental data with confidence;

- Present and discuss the results based on charts, contour plots and tables.

Who this course is for:

Master and Ph.D. students;

Researchers;

Eeers;

Undergraduate students who need to run and analyze expental data;

Anyone who performs and analyze expents.



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