2017-2018

Costanzo Luca

Costanzo

My name is Luca Costanzo and I live in Prato. I have earned a master's degree in Matter Physics from University of Florence and then a PhD at the European Laboratory for Non-Linear Spectroscopy (LENS). Currently I'm a post-doc at the National Institute of Optics (INO-CNR).

2017-2018

Dadone Paola

Dadone

Born in the province of Cuneo in 1985, after a linguistic A levels she obtained a bachelor's degree in Development and Cooperation (Political Science) and a master's degree in Institutional, environmental and regional economics (Economics) from the University of Turin; she spent the last year of her master's degree at the French University of Paris XII Val de Marne. She currently works as a researcher at Liguria Ricerche S.p.A., an in-house company of the Ligurian Regional Government. In particular, she deals with research activities on the state and trends of the ligurian economy and society, supporting the general and sector planning of the regional government. She identified the master as a tool for expanding his skills in the field of data analysis and communication, as well as an interdisciplinary path suitable to satisfy her curiosity about ICTs and their social implications.

2017-2018

Magnolo Marco

Magnolo

Born on Aug 17th 1985 in Lecce (Le), I live in Pesaro (PU). I obtained the high school diploma in 2004 and I attended the Italian Army Military Academy in Modena and Torino from 2004 to 2009, where I graduated in "Scienze Strategiche". In 2009 I have been assigned to the Italian Army 28° "Pavia" Regiment stationed in Pesaro (PU).

2017-2018

Berti Barbara

Berti

Barbara Berti received a PhD in English Linguistics from the University of Milan with a thesis concerning the presence and the treatment of lexical collocations in bilingual dictionaries. She currently works as a researcher at the State University of Milan, where she teaches English Phonology, Morphology, Phraseology, Lexis, Semantics as well as Corpus Linguistics. Her main research interests are collocations in corpus linguistics, critical lexicography and computational lexicography.

2017-2018

Onorati Giordano

Onorati

Bachelor's Degree in Physics, Master's Degree in Statistics for Information Systems and Master's Degree in Technological Innovation and Design for Urban Systems. During the Master's degree thesis I developed a geomarketing analysis aimed at creating a ranking of points of sale through the creation of a composite indicator able to describe the level of competitiveness. The economic potential has been evaluated in terms of purchasing capacity of the resident population in the catchment areas of each point of sale and of the specific characteristics, both of the point of sale itself and of the urban context interior of which was located. The information related to each of the territorial areas has been reconstructed based on the results of the Population Census for census sections and the type of land. Finally the registration to the Tim Big Data Challenge 2015 which gave me the opportunity to work with the data relating to the telephone cells.

2017-2018

Big data sources, crowdsourcing, crowdsensing

Credits: 
2
Hours: 
20
Area: 
Big Data Sensing & Procurement
Teachers: 
Academic Year: 
Description: 

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.

Nizzoli Leonardo

Leonardo Nizzoli was born in Pisa in 1984. After graduating in Physics in 2010, he worked more than 5 years as a researcher in a R&D company devoted to the implementation of marine wave energy converters. In 2016 he attended the Post Graduate Master in Big Data Analytics and Social Mining at the University of Pisa. He spent the training period at Enel Global Thermal Generation, where he realized - in collaboration with Angela Italiano - a data driven machine learning model able to predict thermo-acoustic instabilities in natural gas turbines.

English

High Performance & Scalable Analytics, NO-SQL Big Data Platforms

Credits: 
2
Hours: 
20
Area: 
Big Data Technology
Teachers: 
Academic Year: 
Description: 

The aim of this course is to introduce the student with the high performance Big Data management tools. The student will gain expertise in the use od NO-SQL platforms for the analysis and mining of large data volumes, thus performing tasks that would not be feasible with traditional data bases.

Data Science for Quantitive Finance

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Teachers: 
Academic Year: 
Description: 

The course presents the main elements for understanding financial markets, their structure, and technological infrastructure. Specifically, the course provides a background on basic empirical modeling of financial time series, from low to ultrahigh frequency, identifying the key data science aspects including data storage, latency, high dimensional inference, etc. It also covers semantic analysis of texts from news feed and social networks for financial forecasting.

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