Postdoc
University of Copenhagen
Faculty of Science
Department of Food Science
Basic Chemometrics and a little Machine Learning
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.
Background
Chemometrics (or multivariate data analysis) may be used to solve problems involving large amounts of data. This is relevant within fields such as development, research, process monitoring and control, and laboratory analysis. In these fields, the use of single variables is often inadequate to describe, differentiate or classify objects/samples. Looking at more variables at a time ensures that interactions, patterns and correlations are taken into consideration. Combined with superior data visualization, chemometrics is a needed tool for proper data analysis.
As participant you will be introduced to the multivariate way of thinking and learn how to explore your data properly and how to set up a multivariate calibration/regression model. The course is a mixture of lectures and exercises. In the exercises, you will use the chemometrics tools. You will learn to navigate through the raw data, develop models and visualize the models. During this course you will not be able to work with your own data.
Teachers
Beatriz Quintanilla Casas, Victor Cardoso, Julius Terp & Rasmus Bro
Audience
The course is intended for people handling problems where chemometrics may be applied or people who have a general interest in learning more about chemometrics and its applications. Some mathematical and statistical expressions will be used in the course and a variety of data (e.g. sensory and spectroscopic data) will be used as examples.
Software
PLS_Toolbox or SOLO will be used during exercises and has to be installed on your own laptop. Instructions for obtaining a demo version will be sent before the course
Practical
The course is taking place from 9 AM to 16 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.
Enroll to Bodil Helene Allesen-Holm bhah@food.ku.dk October 27th 2025 at the latest. Each ODIN member can enroll four persons. Please provide e-mail address of course participants so last minute details may be provided. Cancellations must be made no later than four 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 March 24 at the latest. Each ODIN member can enroll four persons. Please provide e-mail address of course participants so last minute details may be provided. Cancellations must be made no later than four days in advance or a fee of 500 DKK will be charged.
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.