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Printable versionLecturer: 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
