Course Unit A-U1  General Assessment

Course Unit A-U2  Data Management

Course Unit A-U3  Laboratory Assessment


This module introduces the basic concepts in statistics: data variability, the concept of probability and probability distributions. It describes how to characterize a population from small sets of data. It introduces how to evaluate the different sources that contribute to data variability, and to differentiate random from controlled factors that contribute to data variability.  It introduces statistical tests for decision analysis: comparison of a mean with a reference value, comparison of two means, comparison of variances.


Course Unit A-U1  General Assessment

Course Unit A-U2  Data Management

This module deals with the application of experimental design to systematic optimization of chemical processes. The principal topics to be treated are as follows:

1.      Description of a general optimization flowchart
2.      Assessment of optimization criteria. Single and multi-objective responses
3.      Application of screening methods for searching for relevant variables
4.      Application of statistic methods focused on the study of factors and interactions
5.      Implementation of strategies for simultaneous optimization of interacting variables


Course Unit A-U2  Data Management


The module aims at giving a basic description of the most usual multivariate exploratory and calibration tools, i.e., Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, respectively

 Basic skills on the application of these methods to environmental data analysis and industrial process control are proposed by using standard commercial chemometric software.



Course Unit A-U3  Laboratory Assessment

To introduce principles of Good laboratory practices for successful results during inspections and define management of quality system, personnel requirements, design and construction of the facility

To establish materials and equipment management, definition of qualification & validation of laboratory activities

To show computerized system requirements, data governance and relative documentation for data integrity compliance

To illustrate investigations of laboratory data and quality risk management methods, tools and potential application

Course Unit A-U1  General Assessment

Course Unit A-U3  Laboratory Assessment


The module aims to show to the students the different types of reference materials available and to introduce its proper use in an analytical laboratory, both in the validation step of an analytical method and in different steps of the laboratory quality control system (internal and external quality control). The preparation steps involved in production of RMs will be introduced, as well as all the analytical work required for homogeneity and stability tests. Different types of intercomparison exercises will be introduced and the different steps involved in the organization of a PT scheme will be described. The minimum statistical tools for the evaluation of the technical competence of a laboratory participating in a PT will be introduced.