Chemometrics

This Chemometrics course aims to give students the skills to design chemical experiments that effectively collect useful data. It also aims to introduce them to statistical and modeling techniques for data analysis using the R software. A key objective is to provide students with the skills needed to design and analyze experiments to evaluate the effect of factors on a response variable, highlighting the importance of randomization, replication, and blocking.

"At the end of the Chemometrics course, the student will be able to:
Knowledge and Understanding: Demonstrate a solid understanding of the statistical principles underlying statistical analysis techniques (with particular emphasis on significance tests and the regression model) and experimental design.

Application: Design experiments using the principles of randomization, blocking, and replication. Correctly apply the appropriate statistical tests to evaluate the effect of two or more factors on a response variable, and regression models. Analyze and interpret the results of statistical analyses.
Communication: Communicate the results of statistical analyses effectively, both in written and oral form, using appropriate language and supported by clear graphs and tables.
IT Skills: Use the R software for data analysis, implementing the learned techniques and interpreting the outputs."