Lektor
UCPH
Faculty of Science
Ingredient and Dairy Technology
Design of Experiments
Proper analysis of data and efficient planning of experiment is 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 are given.
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.) 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.
Teacher
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
Python/Jupyter (preferably using the MS Visual Studio program; all freeware) will be used for data analysis. A short (but sufficient) introduction is included in the course.
Practical
The course is taking place from 9 AM to 4 PM both days. Lunch and coffee is 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 Bodil Helene Allesen-Holm bhah@food.ku.dk Sept 13th at the latest. Cancellations must be made no later than three working days in advance or a fee of 500 DKK will be charged.
Location
University of Copenhagen
Frederiksberg Campus
Bülowsvej 17
DK-1851 Frederiksberg C
Contact
Enroll to Bodil Helene Allesen-Holm bhah@food.ku.dk Sept 13th at the latest. Cancellations must be made no later than three working days in advance or a fee of 500 DKK will be charged.