Design of Experiments

This course will discuss efficient planning and optimizations techniques useful in e.g. yield optimization in production processes or instrumental optimization in analytical chemistry procedures.
Start date
24-04-2025
Duration
2 days
Price
DKK 7,000
Registration deadline
04-04-2025

Background

Proper analysis of data and efficient planning of experiments is (or should be!) a part of every scientist’s toolbox. In this short course, an outline of different terms within Design of Experiments (DoE) and the theory behind “when to use what” are given. After a reminder on the basics of statistics required for experimental planning (sampling, univariate linear regression, etc.) on the first day we will look at the setup and analysis of designed experiments and statistical inference/decision making from designed data (Designs, ANOVA, etc.) on the second day. We will discuss efficient planning and optimizations techniques useful in e.g. yield optimization in production processes or instrumental optimization in analytical chemistry procedures.

Teachers

Audience

The course is intended for people handling problems where using DoE can be an advantage when setting up the experiments or people who have general interest in knowing how to set up and use efficient experimental designs. Basic mathematical and statistical ideas will be used (and explained!) during the course, and the theory will be accompanied by computer exercises.

 

Software

Python/Jupyter (preferably using the MS Visual Studio pogram; all freeware) will be used for data analysis. A short (but sufficient) introduction is included in the course.

 

 

Location

University of Copenhagen
Frederiksberg Campus
Bülowsvej 17
DK-1851 Frederiksberg C

Contact

Enroll to Bodil Helene Allesen-Holm bhah@food.ku.dk March 22nd at the latest.

Cancellations must be made no later than three working days in advance or a fee of 500 DKK will be charged.