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 Chemometrics I
Course unit content
Process optimization
Control charts
Principal component analysis
Discriminant analysis
MANOVA
Hotelling's T-square
Full programme
Process optimization (Experimental design, full factorial designs, fractional factorial designs, Plackett-Burmann designs, experimental error evaluation, desirability functions)
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.
Data evaluation.
Principal component analysis
Cluster analysis
Discriminant analysis
MANOVA
Hotelling's T-square
Bibliography
R. Todeschini "Introduzione alla Chemiometria" Ed. EDISES
E. Belluco "Strumenti statistici per il controllo dei processi" Franco Angeli Ed.
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 in 15 hours of laboratory (computer elaboration of data)
Assessment methods and criteria
Oral examination to verify:
the acquisition of basic and advanced concepts of chemometrics for data elaboration
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
2030 agenda goals for sustainable development
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