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PHYSICS OF DATA

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      • Track 1: Fundamental Physics
        • Track 1: Fundamental Physics
        • Track 2: Astrophysics and Cosmology
        • Track 3: Physics of Matter
        • Track 4: Quantum
        • Track 5: Complex Systems and Interdisciplinary Physics
        • Track 6: Machine Learning and Industrial Application
        • Admin Info Study Plan

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        Track 1: Fundamental Physics

        Track 1: Fundamental Physics

        Machine Learning and Big Data techniques find their natural application in Fundamental Physics. In that field most of the experiments produce an enormous quantity of complex data that requires skills on the edge of modern Data Science.
        Our students will be capable of facing the challenges posed both the processing/managing and the interpretation of the data. This will open up for them possibilities of careers in the most prestigious research centers and labs (like CERN), thanks also to the strong connections hold by Physics of Data professors within the international community

        Theoretical physics *

        Theoretical physics of the fundamental interactions

         Nuclear Physics

        Subnuclear physics

        Standard Model

        Advanced Laboratory A

        Advanced Laboratory B

        Programmable Hardware Devices

        Neural networks and deep learning

        * Mandatory

         

        DEPARTMENT OF PHYSICS AND ASTRONOMY “G. GALILEI" - MASTER DEGREE IN PHYSICS OF DATA

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        • Didactic secretary
        • didattica.dfa [at] unipd.it
        • Via Marzolo 8, Room 116
        • 049-8277068
        • PEC: dipartimento.dfa[at]pec.unipd.it
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