Design of Experiments

Background: Proper analysis of data and efficient planning of experiment 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.) we will look at the setup and analysis of designed experiments and statistical inference/decision making from designed data (Designs, ANOVA, etc.). We will furthermore discuss efficient planning and performance of sequential optimizations techniques useful in e.g. yield optimization in production processes or instrumental optimization in analytical chemistry procedures.

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 setup 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: JMP (SAS) or MODDE (Umetrics/Sartorious) can be used during exercises.

Teacher: Frans van den Berg.

Location: University of Copenhagen, Frederiksberg Campus.

The course is taking place from 9 AM to 4 PM both days. Lunch and coffee will be included. If you have special dietary needs, please let us know by enrollment. Lectures and notes are in English.

Please note that a minimum of 8 participants must sign up for this course to take place.

Enroll to Rasmus Bro (rb@food.ku.dk) Feb 1st at the latest. Cancellations must be made no later than three working days in advance.

Price: 7000 DKK

Read about ODIN here.

See also Two day course in Basic Chemometrics and a little machine learning