Chemometrics, statistical data analysis, experimental design

This course will cover the fundamental concepts and practical tools related to chemometrics through: - statistical data analysis;

• the laws of probability;
• confidence interval estimation;
• parametric and nonparametric tests.

An introduction to design of experiments will be offered at the end of the module.

Hourly volumes:

CM: 7 a.m.

TD: 1:00 PM

The aim of this course is to provide students with the chemometric tools necessary for the statistical analysis of experimental results. Through an introduction to experimental design, students will also learn how to optimally design parametric experimental studies.

Basic mathematical operators (multiple sum, simple matrices).

Basic statistical concepts.

Final exam (100%)

Statistical analysis, probabilities, confidence interval estimation, parametric and nonparametric tests, design of experiments

Administrative contact(s):

Master's Program in Chemistry Secretariat

https://master-chimie.edu.umontpellier.fr/