Quality of the analytical data; hypothesis test, ANOVA; Univariate and multivariate regression techniques, Classification techniques; Experimental design; Principal component analysis. Quality Assurance.
Learning Objectives
Extracting information from experimental data using chemometric methods and knowing how to interpret the results to ensure the quality of an analytical process.
Prerequisites
No one
Teaching Methods
Frontal lessons with group exercises
Type of Assessment
Oral exam to evaluate critical reasoning skills on the study carried out; quality of the exhibition; competence in the topics covered
Course program
Sampling techniques. Data processing: error; reliability of the analytical data; method validation; statistical analysis: hypothesis tests for parametric and non-parametric statistics; ANOVA; univariate and multivariate regression techniques; Experimental design; principal component analysis; classification techniques. Quality assurance; ISO standards; Validation; Quality by design