Instructors - Docenti:
NOTICE: there will be no lesson on Friday 20 September 2019
In our digital society, every human activity is mediated by information technologies, hence leaving digital traces behind. These massive traces are stored in some, public or private, repository: phone call records, movement trajectories, soccer-logs and social media records are all examples of “Big Data”, a novel and powerful “social microscope” to understand the complexity of our societies. The analysis of big data sources is a complex task, involving the knowledge of several technological and methodological tools. This course has three objectives:
In this module, analytical methods and processes are presented thought exemplary cases studies in challenging domains, organized according to the following topics:
This module will provide to the students the technologies to collect, manipulate and process big data. In particular the following tools will be presented:
During the course, teams of students will be guided in the development of a big data analytics project. The projects will be based on real-world datasets covering several thematic areas. Discussions and presentation in class, at different stages of the project execution, will be performed.
16/09 (Mod. 1) Introduction to the course, The Big Data scenario mod1.introduction_bigdatalandscape_newquestions_.pdf
20/09 NO LESSON