Provided by:
UNIPI, CNR
From:
Master II Livello Big Data Analytics
Sede:
Computer Science Department, Unversity of Pisa
Lecturers:
Maurizio TESCONI
Semester:
2
Hours:
20
Educational Goals:
This module presentes techniques and methods for acquisition of Big Data from a large sources of data available, including mobile phone data, GPS data, customer purchase data, social network data, open and administrative data, environmental and personal sensor data. We discuss also several participatory methods for crowdsourcing or crowdsensing collection of data through ad hoc campains like serious games and viral diffusion.
