Unit Data Science for the quality of institutions
- Course
- Politics, administration, territory
- Study-unit Code
- A001477
- Curriculum
- Politiche del territorio
- Teacher
- Michela Gnaldi
- Teachers
-
- Michela Gnaldi
- Hours
- 63 ore - Michela Gnaldi
- CFU
- 9
- Course Regulation
- Coorte 2020
- Offered
- 2021/22
- Learning activities
- Affine/integrativa
- Area
- Attività formative affini o integrative
- Academic discipline
- SECS-S/05
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Part I
General measurement issues of complex phenomena and specific issues for the measurement of corruption
Part II
Data mining as the main methodological tool for data science. Objectives of data mining. Data visualisation.
Part III Students' Project work studenti
on the “Survey of the persona responsible for corruption prevention” - Reference texts
- Misurare ¿la corruzione oggi. Obiettivi, metodi, esperienze. A cura di Michela Gnaldi, Benedetto Ponti. FrancoAngeli.
https://ojs.francoangeli.it/_omp/index.php/oa/catalog/book/310 - Educational objectives
- The aim of the course, in the quantitative methodological area, is to offer students with the methodological foundations necessary for complex phenomena measurement, with particular attention to data mining as the principal methodological tool of data science and the objectives it allows to reach, specifically with reference to data visualisation.
- Prerequisites
- Previous knowledge of introductory statistics is hoped pre-requisite
- Teaching methods
- Lectures, practical work and project work. In the case of coronavirus emergency, lectures will be given also on line.
- Other information
- None
- Learning verification modality
- Written exam, and project work. In the case of coronavirus emergency, it will be possible to sit for exams also on line.
- Extended program
- Part I
General measurement issues of complex phenomena and specific issues for the measurement of corruption
Part II
Data mining as the main methodological tool for data science. Objectives of data mining. Data visualisation.
Part III Students' Project work studenti
on the “Survey of the persona responsible for corruption prevention”