Statistical methods and data analysis

Lecturer: prof. Stefano Siboni

The aim of the course is to illustrate the basic mathematical tools for the analysis and modeling of experimental data, particularly concerning the main statistical methods. The idea is not simply to describe and discuss the "cooking recipes" for the statistical treatment of data, but also to introduce and analyze in a critical way the statistical models implemented by the computation procedures, stressing their limitations and the actual interpretation of the results.

Timetable 2019:

November 2019 Hours Room
Monday 18 10:30 - 12:30 2Q
Tuesday 19 10:30 - 12:30 1D
Wednesday 20 14:30 - 16:30 2M
Thursday 21 10:30 - 12:30 2C
Friday 22 10:30 - 12:30 2C
     
Tuesday 26 10:30 - 12:30 1D
Wednesday 27 14:30 - 16:30 2M
Thursday 28 10:30 - 12:30 2C
Friady 29 10:30 - 12:30 2C
December 2019    
Tuesday 3 10:30 - 12:30 1D
Wednesday 4 14:30 - 16:30 2M
Thursday 5 10:30 - 12:30 2C
Friday 6 10:30 - 12:30 2C
     
Tuesday 10 10:30 - 12:30 1D
Wednesday 11 14:30 - 16:30 2M
Thursday 12 10:30 - 12:30 2C
Friday 13 10:30 - 12:30 2C
     
Tuesday 17 10:30 - 12:30 1D
Thursday 19 (final exam) 9:00 - 13:00 2C

Duration: 36 hours (4,5 CREDITS)

Programme: see the attachement

Assessment modality: Participants are required to pass a written examination consisting in the application of some statistical techniques (calculation of confidence intervals, hypothesis testing, calculation of correlation coefficients, ANOVA, linear regressions by chi-square or least squares fitting --- regression straight lines) presented in the course.

Registration: in order to access the course, please send an e-mail to dicamphd [at] unitn.it