On completion of this module, students should be able to:
1. Understand the fundamental concepts and principles of PLS regression.
2. Apply classification techniques to multivariate data using 2 class, 1 class or multiclass classifiers.
3. Optimise and validate regression and classification models
4. Apply variable selection to identify the most important variables in a regression or classification problem.

This module is designed to provide students with an advanced understanding of the principles and applications of chemometrics. In this module, students will learn how to analyze and interpret data obtained from various analytical techniques using MATLAB software. The module will cover topics such as regression, classification, validation and variable selection. By the end of the module, students will have gained the necessary skills to apply advanced chemometric methods to real word multivariate data.

Not applicable to this module.

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

Not yet recorded.