2018_19
University
Rovira y Virgili
Educational guide 
Faculty of Oenology
A A 
english 
Bachelor's Degree in Oenology (2014)
 Subjects
  DATA ANALYSIS TOOLS FOR THE AGRIFOOD LABORATORY
   Contents
Topic Sub-topic
Introduction. Reference documents
Basic statistics for the analytical laboratory Hypothesis testing
Analysis of variance (ANOVA)
Linear regression
Quality parameters (figures of merit) in chemical analysis Accuracy: trueness and precision
Selectivity, sensitivity, limits of detection and quantification, linearity, robustness
Calculation of the uncertainty of analytical results
Quality control in the analytical laboratory Internal Quality Control
External Quality Control: interlaboratory comparison
Big data in agrofood analysis.
Multivariate data analysis
Representation techniques
Classification techniques
Prediction techniques