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.
Start date
28-09-2023
Duration
2 days
Price
DKK 7,000
Registration deadline
07-09-2023

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

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.

 

 

Location

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

Contact

Enroll to Bodil Helene Allesen-Holm bhah@food.ku.dk Sept 7th at the latest.

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