Design of experiments

Design of experiments is part of the quality approach. It's a time- and money-saving method of conducting tests and analyzing data. That's why it's so useful in industry.

The emphasis is on understanding the basics.

It's an interactive course, with a hands-on approach.

Give a good understanding of the fundamentals of the technique.

Transmit the jargon associated with this technique.

Versatility and the ability to adapt quickly to the company's specific tools.

But it's an introduction, and we can't claim to be autonomous in such a short time (we'll see that there are risks).

Basic statistics (expectation, variance, standard deviation of a random variable)

Recommended prerequisites:

Basic knowledge of materials and microelectronics (examples will be drawn from practical cases in this field)

Continuous control

Demonstrate the benefits of the method,
by comparing measured effects and their uncertainty.

Plan analysis method (data synthesis, "effects", "interactions", uncertainties and their presentation)

Linear interpolation between results.

Applications to "N^k complete factorial designs".

Introduction to "orthogonal fractional planes": interest and risks (aliasing).

A 5-hour practical session applies this technique to controlling the thickness of a spin-coated resin layer, as measured by reflectometry.