Design of experiments

Design of experiments is part of the quality process. It is a method of conducting tests and analyzing data that saves time and money. That is why it is very useful in industry.

The emphasis is on understanding the basics.

It is an interactive course, with an example-based approach.

Provide a good understanding of the fundamentals of the technique.

Teach the jargon associated with this technique.

Provide good versatility and the ability to adapt quickly to the company's specific tools.

But this is just an introduction; we cannot expect to be self-sufficient in such a short time (we will see that there are risks involved).

Statistical basics (expectation, variance, standard deviation of a random variable)

Recommended prerequisites:

Fundamentals of materials and microelectronics (examples will be drawn from practical cases related to this field)

Continuous assessment

Demonstration of the advantage of the method,
by comparing the measured effects and their uncertainty.

Method for analyzing a plan (data synthesis, "effects," "interactions," uncertainties, and their presentation)

Method of linear interpolation between results.

Applications to “N^k full factorial designs”

Introduction to “orthogonal fractional plans”: benefits and risks (concept of aliases).

A 5-hour practical session allows this technique to be applied to controlling the thickness of a resin layer by spin coating, measured by reflectometry.