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.
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.
scheda docente
materiale didattico
Monday 6 March 2023 18-20 New Paradigms for Digital Architectures 350
Tuesday 7 March 2023 18-20 New Paradigms for Data Architectures 350
Wednesday 8 March 2023 18-20 Emerging Issues - Data Privacy/Data Governance 350
Monday 13 March 2023 18-20 GDPR - Regulations & Roles 350
Tuesday 14 March 2023 18-20 Data Analysis & Design: W6H 350
Wednesday 15 March 2023 18-20 Data Modeling - ER Model 350
Monday 20 March 2023 18-20 ER Model: Identification Keys - Hierarchies 350
Tuesday 21 March 2023 18-20 ER Model: Exercises on ER Diagrams 350
Wednesday 22 March 2023 18-20 ER Model: Exercises on Trasforming ERD into Tables 350
Monday 27 March 2023 18-20 Data Warehouse-Multidimensional Model 350
Tuesday 28 March 2023 18-20 Data Warehouse-Star Schema, Snowflake Skema, Galaxy Schemas 350
Wednesday 29 March 2023 18-20 Data Warehouse-Exercises on Star/Snowflake/Galaxy Schemas 350
Monday 3 April 2023 18-20 Big Data: Definition; NoSQL models 350
Tuesday 4 April 2023 18-20 Artificial Intelligence 350
Wednesday 5 April 2023 18-20 Machine Learning 350
Monday 17 April 2023 18-20 Test on the first part of the course 350
Tuesday 18 April 2023 18-20 Presentation and discussion of the papers on the first part of the course 350
Wednesday 19 April 2023 18-20 Deep Learning & Neural Networks 350
Tuesday 2 May 2023 18-20 Deep Learning & Neural Networks 350
Wednesday 3 May 2023 18-20 Regulation on Artificial Intelligence 350
Monday 8 May 2023 18-20 BlockChain: Cryptocurrencies, Smart Contracts and Certification 350
Tuesday 9 May 2023 18-20 Digital Identity: Definition and Regulations 350
Wednesday 10 May 2023 18-20 Digital Divide: Definition and Regulations 350
Monday 15 May 2023 18-20 The Industry 4.0 national plan: Objectives and enabling technologies 350
Tuesday 16 May 2023 18-20 Digital Era: social and behavioral implications of new technologies 350
Wednesday 17 May 2023 18-20 ChatGPT: ethical, social and economic implications 350
Monday 22 May 2023 18-20 Test on the second part of the course 350
Tuesday 23 May 2023 18-20 Final Discussion about the topics of the course 350
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
Programma
date time subjects roomMonday 6 March 2023 18-20 New Paradigms for Digital Architectures 350
Tuesday 7 March 2023 18-20 New Paradigms for Data Architectures 350
Wednesday 8 March 2023 18-20 Emerging Issues - Data Privacy/Data Governance 350
Monday 13 March 2023 18-20 GDPR - Regulations & Roles 350
Tuesday 14 March 2023 18-20 Data Analysis & Design: W6H 350
Wednesday 15 March 2023 18-20 Data Modeling - ER Model 350
Monday 20 March 2023 18-20 ER Model: Identification Keys - Hierarchies 350
Tuesday 21 March 2023 18-20 ER Model: Exercises on ER Diagrams 350
Wednesday 22 March 2023 18-20 ER Model: Exercises on Trasforming ERD into Tables 350
Monday 27 March 2023 18-20 Data Warehouse-Multidimensional Model 350
Tuesday 28 March 2023 18-20 Data Warehouse-Star Schema, Snowflake Skema, Galaxy Schemas 350
Wednesday 29 March 2023 18-20 Data Warehouse-Exercises on Star/Snowflake/Galaxy Schemas 350
Monday 3 April 2023 18-20 Big Data: Definition; NoSQL models 350
Tuesday 4 April 2023 18-20 Artificial Intelligence 350
Wednesday 5 April 2023 18-20 Machine Learning 350
Monday 17 April 2023 18-20 Test on the first part of the course 350
Tuesday 18 April 2023 18-20 Presentation and discussion of the papers on the first part of the course 350
Wednesday 19 April 2023 18-20 Deep Learning & Neural Networks 350
Tuesday 2 May 2023 18-20 Deep Learning & Neural Networks 350
Wednesday 3 May 2023 18-20 Regulation on Artificial Intelligence 350
Monday 8 May 2023 18-20 BlockChain: Cryptocurrencies, Smart Contracts and Certification 350
Tuesday 9 May 2023 18-20 Digital Identity: Definition and Regulations 350
Wednesday 10 May 2023 18-20 Digital Divide: Definition and Regulations 350
Monday 15 May 2023 18-20 The Industry 4.0 national plan: Objectives and enabling technologies 350
Tuesday 16 May 2023 18-20 Digital Era: social and behavioral implications of new technologies 350
Wednesday 17 May 2023 18-20 ChatGPT: ethical, social and economic implications 350
Monday 22 May 2023 18-20 Test on the second part of the course 350
Tuesday 23 May 2023 18-20 Final Discussion about the topics of the course 350
Testi Adottati
"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
Bibliografia Di Riferimento
https://artificialintelligenceact.eu/the-act/ https://www.agid.gov.it/en/platforms/eidas#:~:text=The%20eIDAS%20regulation%20aims%20at,transactions%20in%20the%20European%20Union. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/european-digital-identity_en "ChatGPT: Implicazioni Etiche, Sociali ed Economiche" Pasquale Aiello, Senior Data Scientist Pietro Marinelli, Lead Data Scientist Maria Concetta Antonica, Lawyer expert in Intelligence and Military Law https://www.comunicatistampa.org/chatgpt-pasquale-aiello-su-implicazioni-etiche-sociali-ed-economiche "LE RICADUTE SOCIALI DELL’ERA DIGITALE - Alle soglie di una svolta antropologica" Dr. Rosa Chiapparelli CopyRights D.SSA ROSA CHIAPPARELLI ASSOCIAZIONE SOCIAL SKILLSModalità Erogazione
lessons will be held face-to-face. for those who are unable to participate, the lessons can be used on the Teams channel of the courseModalità Valutazione
interview: the preparation of the course participants will be carried out with an oral exam