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Statistical methods in design, production and verification processes
04QDBRP
A.A. 2018/19
Course Language
Inglese
Degree programme(s)
Doctorate Research in Gestione, Produzione E Design - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 20 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|
Co-lectures
Context
| SSD | CFU | Activities | Area context | *** N/A *** |
|---|
2018/19
PERIOD: JANUARY - FEBRUARY
In activities of design, organization of production processes and their verification, the statistical methods are vital tools in order to get, select and work out information.
Students will acquire the ability to use the most common statistical methods in order to afford advanced elaborations and working knowledge of the most popular techniques among the experimenters. Practical problems that frequently occur are used as examples in order to enlighten limits and features of the proposed methods. The transferable skills is to supply statistical tools to analyze experimental data.
PERIOD: JANUARY - FEBRUARY
In activities of design, organization of production processes and their verification, the statistical methods are vital tools in order to get, select and work out information.
Students will acquire the ability to use the most common statistical methods in order to afford advanced elaborations and working knowledge of the most popular techniques among the experimenters. Practical problems that frequently occur are used as examples in order to enlighten limits and features of the proposed methods. The transferable skills is to supply statistical tools to analyze experimental data.
Logical and statistical foundations, Exploratory Data Analysis.
Analysis of Variance and Covariance: partitioning the variability; designed experiments and controlled factors: assigning the variability to different factors; main effects and interactions; significance test for main effects and interactions. Discussion of software outputs.
Modeling. Linear regression model (exploratory data analysis, parameters estimation, check of the estimations quality, prediction). Decomposition of the variability; assigning the observed variability in designed experiments to the single variables; statistical tests for the variables significance. Discussion of software outputs.
Logical and statistical foundations, Exploratory Data Analysis.
Analysis of Variance and Covariance: partitioning the variability; designed experiments and controlled factors: assigning the variability to different factors; main effects and interactions; significance test for main effects and interactions. Discussion of software outputs.
Modeling. Linear regression model (exploratory data analysis, parameters estimation, check of the estimations quality, prediction). Decomposition of the variability; assigning the observed variability in designed experiments to the single variables; statistical tests for the variables significance. Discussion of software outputs.
25/01/2019 Auletta B (DIGEP) 11-14
04/02/2019 Auletta B (DIGEP) 13-16
08/02/2019 LEP (DIGEP) 10-12.30
12/02/2019 Auletta B (DIGEP) 13-16
13/02/2019 LEP (DIGEP) 10-12.30
19/02/2019 Auletta B (DIGEP) 13-16
22/02/2019 LEP (DIGEP) 10-13
25/01/2019 Auletta B (DIGEP) 11-14
04/02/2019 Auletta B (DIGEP) 13-16
08/02/2019 LEP (DIGEP) 10-12.30
12/02/2019 Auletta B (DIGEP) 13-16
13/02/2019 LEP (DIGEP) 10-12.30
19/02/2019 Auletta B (DIGEP) 13-16
22/02/2019 LEP (DIGEP) 10-13
Modalità di esame:
Exam:
...
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam:
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.