• Dipartimento: Scienze Matematiche, Fisiche E Naturali
  • Settore Ministeriale: FIS/05
  • Codice di verbalizzazione: 8067554
  • Metodi di insegnamento: Frontale E Altro
  • Metodi di valutazione: Orale
  • Prerequisiti: Basic Programming- Basic Calculus
  • Obiettivi: The course focuses on advanced data analysis, dealing with Big Data and Machine Learning approaches on Astrophysical datasets. The course also aims to extend previous computer skills by thoroughly addressing Object-Oriented programming in Python. �� Knowledge: Understanding of numerical techniques for data analysis. - Good knowledge of the state of the art about use of Machine Learning in the astrophysics field. �� Competencies: Understanding the limits of the numerical approaches. - Ability to unassistedly analyze astrophysical data-sets through numerical methods. �� Skills: Ability to present and organize the exposition of a specialized topic of in-depth analysis of astrophysical data analysis. - Proficiency in the Python language to allow advanced use of the most common astrophysics tools and libraries.


  • A.A.: 2021/2022
  • Canale: UNICO
  • Crediti: 4

Classe virtuale:

  • Link Microsoft Teams: Link
  • Docente: DEL MORO DARIO