Design of Experiments

Experimental designs are part of the quality assurance process. It is a method for conducting tests and analyzing data that saves time and money. That is why it is so useful in industry.

The focus is on understanding the basics.

This is an interactive course that uses examples to illustrate concepts.

To provide a solid understanding of the fundamentals of the technique.

Explain the terminology associated with this technique.

Provide a high degree of versatility and the ability to adapt quickly to the company's specific tools.

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

Basics of Statistics (Expected Value, Variance, Standard Deviation of a Random Variable)

Recommended prerequisites:

Fundamentals of Materials and Microelectronics (examples will be drawn from real-world cases related to this field)

Ongoing Assessment

Demonstration of the method's advantage,
, by comparing the measured effects and their uncertainties.

Method for Analyzing a Study (Data Synthesis, “Effects,” “Interactions,” Uncertainties, and Their Presentation)

Method for linear interpolation between results.

Applications to “complete factorial designs of order N^k”

Introduction to “orthogonal fractional designs”: benefits and risks (the concept of aliasing).

A 5-hour lab session allows students to apply this technique to control the thickness of a resin layer using spin coating, as measured by reflectometry.