DATA MINING, STATISTICA SOCIALE ED INFORMATIZZAZIONE DEI DATI

Course Structure

• INDICATOR SOURCES. TERRITORIAL DATA ANALYSIS.

  The course deals with the main issues dealing with a survey. Topics are treated following the logical path of the differents steps of the research analysis: problem identification, data collection, elaboration, data analysis and outcomes evaluation.

• Introduction to Database Management Systems

  Class lectures and some exercise will be carried out together. Some speakers are going to be invited to discuss on advanced topics.

Detailed Course Content

• INDICATOR SOURCES. TERRITORIAL DATA ANALYSIS.

  Sources of statistical information; survey models for the collection of informations from institutional sources; informational statistical systems; integrational procedures among data-bases; data tranformations; typic classification of rates, ratios, index numbers, indicators, construction techniques and complex inidicators.

• Introduction to Database Management Systems

  Overview and introduction to data base management systems. Our data driven society today requires a proper approach to data management for social scientists. Our digital world today produces a huge amount of very detailed and large data logs that represent a new dimension for data scientists.

Textbook Information

• INDICATOR SOURCES. TERRITORIAL DATA ANALYSIS.

  STAT (2011), Navigando tra le fonti demografiche e sociali, ISTAT, Roma,
  http://www3.istat.it/dati/catalogo/20100325_01/Navigando_tra_le_fonti_demografiche_sociali.pdf
  Bonarini F. (2006), Guida alle fonti statistiche socio-demografiche, CLEUP, Padova, pp. 1-142; 231-308.
  Cavaleri P. e Venturini F. (a cura di) (2004), Documenti e dati pubblici sul web. Guida all'informazione di fonte pubblica in rete, Il Mulino, Bologna.
  D. F. Iezzi (2009), Statistica per le Scienze Sociali, Carocci, Roma (Cap. 10 e 11).
  OECD (2008), Handbook on Constructing Composite Indicators. Methodology and user guide.,
  www.oecd.org/publishing.

• Introduction to Database Management Systems
  1. Slides provided
  2. Albano-Ghelli-Orsini, Basi di Dati Relazionali e a Oggetti, Zanichelli, 1997
  3. Ullman, Basi di Dati e Basi di Conoscenza
  4. Big data. Una rivoluzione che trasformerà il nostro modo di vivere e già minaccia la nostra libertà. Viktor Mayer-Schönberger, Kenneth N. Cukier e R. Merlini
  5. Machine Learning: The Art and Science of Algorithms That Make Sense of Data, Peter Flach, Cambridge University Press
  6. Basi di Dati,Modelli e linguaggi di interrogazione, Atzeni,Ceri,Paraboschi,Torlone, terza edizione, McGraw-Hill 2002