Statistical methods and data analysis
Lecturer: Prof. Stefano Siboni
Aim
The aim of the course is to illustrate the basic mathematical tools for the analysis and modelling 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 analyse in a critical way the statistical models implemented by the computation procedures, stressing their limitations and the actual interpretation of the results.
Timetable 2016
November |
Hours |
Room |
Monday 21 |
8:30 – 10:30 |
1 H |
Tuesday 22 |
8:30 – 10:30 |
2 B |
Wednesday 23 |
8:30 – 10:30 |
1 P |
Thursday 24 |
8:30 – 10:30 |
1 H |
Friday 25 |
8:30 – 10:30 |
1 H |
Tuesday 29 |
8:30 – 10:30 |
1 H |
Wednesday 30 |
8:30 – 10:30 |
1 H |
December |
|
|
Thursday 01 |
8:30 – 10:30 |
1 H |
Friday 02 |
8:30 – 10:30 |
1 H |
Monday 12 |
8:30 – 10:30 |
1 H |
Tuesday 13 |
8:30 – 10:30 |
1 H |
Wednesday 14 |
8:30 – 10:30 |
1 H |
Thursday 15 |
8:30 – 10:30 |
1 H |
Monday 19 |
8:30 – 10:30 |
1 H |
Tuesday 20 |
8:30 – 10:30 |
1 H |
Wednesday 21 |
8:30 – 10:30 |
1 H |
13 January 2017 (Final assessment) |
8:30 – 12:30 |
1 D |
Duration
32 hours (4 ECTS)
Assessment modality
For the first part, 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, linear regressions by chi-square or least squares fitting - regression straight lines). For the topics of the second part, homework and oral discussion.
Registration: in order to access the course, please send an e-mail to dicamphd [at] unitn.it