INFORMATICA APPLICATA ALLA RICERCA
- Overview
- Assessment methods
- Learning objectives
- Contents
- Bibliography
- Teaching methods
- Contacts/Info
The course aims to provide to the students basic informatics instruments for collection and statistical analysis of research projects data.
From their own research thesis project, the students learn how to collect, organize and clean data using spreadsheets; how to summarize data; and how to compute p-values and confidence intervals for simple parametric and non-parametric hypothesis tests.
Lessons are held in the computer lab room; each lesson is organized as a mixture of theory and practical’s using students’ own data when available, or data provided by the teacher.
Use of MS excel for organizing, collecting and cleaning data. Use of MS excel for descriptive statistics: sample distributions, measures of position and variability, correlation among two variables. Plots. Use of MS excel and other open-source web resources for hypothesis testing: parametric and non-parametric tests for comparing two or more continuous or discrete distributions (both paired and independent samples). Test p-value. Confidence intervals for location parameters (mean and proportions).
Lesson notes available on the e-learning web page.
In addition, the following book may be a valid support:
Villani S, Borrelli P. Excel e statistica medica. Guida pratica per le professioni sanitarie. Medea editore.
PC lab lectures on dataset made available by the teacher
Reception of students by appointment