Università Roma Tre

The course will provide tools for the analysis of big data (audio, video, text) generated by modern information and communication systems and related services.
Skills stemming from computer science, statistics and optimization will be introduced to provide the means for understanding, designing and implementing methods capable of managing complex amounts of data, and transforming them into useful and semantically relevant information.
Topics to be discussed will include advanced principles of information theory (sparse coding, compressive sensing, random matrix), principles of statistical inference, methodologies for clustering the observed data, predictive analytics, and principles of constrained optimization based on elements of game theory.