Introduction to Digital Tecnologies
(obiettivi)
Technology is pervasive in our daily experience, but we must never forget that it is a tool at our service. We are surrounded by data, applications and digital services of all kinds and nature and we ourselves, more or less consciously, are users of these new digital technologies on a daily basis. Technology makes it possible to record, store and analyze ever-growing quantities of data, to search, book, pay for goods and services, to manage relations with the public administration, to express our opinion on the services and goods we use, to access virtual realities, to consume entertainment services whenever we want and wherever we are, to communicate for work or pleasure with anyone wherever they are. Therefore new problems of Control, Quality, Reliability, Certification, Security of the digital platforms on which we operate arise. The boundaries between social and private are more blurred, data can make us freer and more aware, or more vulnerable and orientable. Hand in hand with technology, it is necessary to develop the ability to search, integrate, elaborate, imagine and understand. And together with all this we need ethical awareness and social responsibility. In this context, great attention is paid to Artificial Intelligence and how it can be applied in different fields and how its applications are changing the world. Machine Learning in recent years has found wide areas of application, for example in the field of health. In this course we will address these issues with an approach where the questions we ask ourselves will be more important than the answers we will find, together or individually.
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Canale Unico
Docente
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Conigliaro Giuseppe
(programma)
subjects New Paradigms for Digital Architectures New Paradigms for Data Architectures Emerging Issues - Data Privacy/Data Governance GDPR - Regulations & Roles Data Analysis & Design: W6H Data Modeling - ER Model ER Model: Identification Keys - Hierarchies ER Model: Exercises on ER Diagrams ER Model: Exercises on Trasforming ERD into Tables Data Warehouse-Multidimensional Model Data Warehouse-Star Schema, Snowflake Skema, Galaxy Schemas Data Warehouse-Exercises on Star/Snowflake/Galaxy Schemas Test on ERA model - Homework Big Data: Definition; NoSQL models Artificial Intelligence Machine Learning Test on the first part of the course (Technologies-Opportunities-Risks) Presentation and discussion of the papers on the first part of the course Deep Learning & Neural Networks Deep Learning & Neural Networks Regulation on Artificial Intelligence BlockChain: Cryptocurrencies, Smart Contracts and Certification Digital Identity: Definition and Regulations Digital Divide: Definition and Regulations The Industry 4.0 national plan: Objectives and enabling technologies Digital Era: social and behavioral implications of new technologies ChatGPT: Ethical, Social and Economic Implications Test on the last part of the course (A.I. - ML - DL) Final Discussion about the topics of the course
(testi)
"The Entity Relationship Model — Toward a Unified View of Data" Peter_Pin_Shan-Chen Massachusetts Institute of Technology, USA © 2002 Springer-Verlag Berlin Heidelberg Print ISBN: 978-3-642-63970-8
"Building the Data Lakehouse" Bill Inmon, Mary Levins, Ranjeet Srivastava - First Printing 2021 Copyright © 2021 by Bill Inmon, Mary Levins, and Ranjeet Srivastava ISBN, print ed. 9781634629669 ISBN, Kindle ed. 9781634629676 ISBN, ePub ed. 9781634629683 ISBN, PDF ed. 9781634629690
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Date di inizio e termine delle attività didattiche
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Dal 03/03/2025 al 30/05/2025 |
Modalità di erogazione
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Tradizionale
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Modalità di frequenza
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Non obbligatoria
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Metodi di valutazione
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Prova scritta
Prova orale
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