Computer technology and statistics knowledge

A.Y. 2021/2022
6
Max ECTS
48
Overall hours
Language
Italian
Learning objectives
The course aims to provide:
- knowledge of descriptive statistics.
- notions for the use of position and variability indicators.
- acquisition of the principles and techniques of regression and correlation between variables.
- knowledge of the fundamental notions of computer science.
- skills on spreadsheet management, to create formulas, to carry out statistical tests, and to create graphs.
- ability to use search engines for information retrieval.
Expected learning outcomes
At the end of the course the student should be able to:
- describe phenomena using the main statistical indicators.
- prepare sample survey plans.
- apply the analysis of the variance with one and two factors.
- objectively evaluate the results of statistical analyses.
- use software packages for data management, statistical processing, data storage and their graphic representation.
- be able to use bibliographic databases.
Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
- University credits: 6
Lessons: 48 hours
Professor: Cotroneo Vincenzo
Educational website(s)
Professor(s)
Reception:
Every Tuesday 16:00 AM or by appointment
MS Teams