Learning objectives
Knowledge and understanding: the students will acquire information about chemometrics and elaboration of data deriving from industrial processes by developing a critical thinking related to the managment of industrial processes.
Applying knowledge and understanding: the students will be able to solve problems related to their working activity.
Making judgements: the students will be able to evaluate the results obtained and to promote innovation.
Communication skills: the students will be able to support and expose their thinking.
Prerequisites
Knowledge of the concepts related to the course of basic chemometrics
Course unit content
Process optimization
Statistical control process
Quality system and quality control
Multivariate statistical analysis:
Principal component analysis
Discriminant analysis
Cluster analysis
MANOVA
Hotelling's T-square
Data processing and evaluation using different software
Full programme
Experimental design (full factorial designs, fractional designs, Plackett-Burmann design, experimental error evaluation, desirability functions). Simplex method
Quality-by-design
Quality control: control charts
(Shewhart charts, Shewhart individuals control charts CUSUM charts, R-charts, D-charts, p-charts, np-charts, c-charts). Attention and warning limits. ARL.
Data evaluation.
Quality system and quality control
Multivariate analysis
Matrices
Data scaling
PCA
Discriminant analysis
Cluster analysis
Manova
Hotelling t square
Bibliography
R. Todeschini "Introduzione alla Chemiometria" Ed. EDISES
E. Belluco "Strumenti statistici per il controllo dei processi" Franco Angeli Ed.
George E. P. Box, William Gordon Hunter, J. Stuart Hunter"Statistics for experimenters: an introduction to design, data analysis, and model building" Wiley
Teaching methods
The course develops in 40 hours of frontal teching during the which the students are guided to the understanting of the concepts of chemometrics and statistical process control and in 12 hours of laboratory (computer elaboration of data).
Lessons related to computer data elaboration have to be followed to be admitted to the final exam
Assessment methods and criteria
Oral examination to verify:
the acquisition of basic and advanced concepts related to data elaboration for statistical control process
the ability to use the acquired knowledge to solve new problems as required to friutfully enter the professional life
Other information
Didactic material is available to the students until the end of June.
2030 agenda goals for sustainable development
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