PHD IN DATA SCIENCE

Study plan for the academic year 2021/2022

List of courses / activities for the first year

titolo	crediti
Digital Epidemiology - Organizers: Ciro Cattuto, Sebastiano Filetti, Stefano Leonardi	3
Deep Learning Seminars - Organizers: Simone Scardapane, Fabrizio Silvestri	3
Cultural Analytics - Organizers: Carlos Castillo and Giorgio Barnabò	3
Foundations of Deep Learning - Organizers: Fabrizio Silvestri, Michael Bronstein	3
The Copernicus green revolution for sustainable development, Politecnico di Milano - Organizer: Maria Brovelli	5
Network Analysis methods for detecting misinformation on the Web - Aris Gionis (KTH Stockolm)	3
Multi-armed bandits, online stochastic optimization, and its applications - Peter Bartlett (Berkeley), Anupam Gupta (CMU)	3
Data Science Application of Blockchain Technology	3
Data Science for Human Mobility - Dino Pedreschi (Univ. of Pisa)	3

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Method of choosing the subject of the thesis

Admission to the second year

List of courses / activities for the second year

titolo	crediti
Machine Learning and Statistical methods for disease progression and clinical trials	3
Natural Language Processing methods for Cultural Analytics	3

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Method of preparation of the thesis

Admission to the third year

List of courses / activities for the third year

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Method of admission to the final examination

Final examination