Informazioni di Big Data, Machine Learning And Astrophysical Data | DidatticaWEB

Generali:

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.

Didattica:

A.A.: 2020/2021
Canale: UNICO
Crediti: 4

Classe virtuale:

Nome classe: DEL_MORO-8067554-BIG_DATA,_MACHINE_LEARNING_AND_ASTROPHYSICAL_DATA
Link Microsoft Teams: Link
Docente: DEL MORO DARIO