Advanced data analysis and processing techniques

Section outline

• Select section Introduction

  Introduction

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  Università degli Studi di Napoli Parthenope
  Centro Direzionale ISOLA C4, Napoli
  Aula 6

  17 February 2025, from 10:15 to 18:00

  18 Februay 2025, from 10:00 to 17:45

  19 February 2025, from 10:00 to 17:45

  20 February 2025, from 10:00 to 18:30

  20 (in person)

   Joe La Casce (UOslo), Salvatore Marullo (CNR-ISMAR), Michela Sammartino (CNR-ISMAR), Lorenzo Della Cioppa (CNR-ISMAR), Raffaele Montella (UParth), Diana Di Luccio (UParth)

  

  First and second level academic training in applied sciences typically stops at standard statistical techniques of data processing. In this course we intend to provide students with advanced notions of processing, with reference to two very current topics: on the one hand, the vast amount of data available (we are currently in the era of big data), and on the other hand, the spread of artificial intelligence techniques, which may find very novel applications in reconstructing 3D and 4D features of the ocean. Practical exercises will be offered to students along with theoretical considerations.

  Students will become familiar with the most current techniques of advanced statistical treatment of data, with the issue of large data set processing, and with the now available artificial intelligence tools for processing oceanographic data.
• Select section Advanced statistical techniques

  Advanced statistical techniques

  Advanced statistical techniques

  • Select activity Introduction to Lagrangian Statistics

    

    Introduction to Lagrangian Statistics File PDF
  • Select activity Time series analysis and applications to some geophysical data record

    

    Time series analysis and applications to some geophysical data record File PDF
• Select section Machine learning and artificial intelligence for oceanography

  Machine learning and artificial intelligence for oceanography

  Machine learning and artificial intelligence for oceanography

  • Select activity Mathematical Analysis of Feed-Forward Naural Network

    

    Mathematical Analysis of Feed-Forward Naural Network File PDF
  • Select activity Tutorial - Della Cioppa

    

    Tutorial - Della Cioppa URL
  • Select activity Building blocks for a numerical simulation and output processing construction kit

    

    Building blocks for a numerical simulation and output processing construction kit File PDF