20110488-2 - Big data e automazione delle decisioni


The course aims to examine the relationship between law, rights and new technologies. Rights are born with man. The history of man should be read as a progressive struggle for rights. Now that new technologies have transformed society, the economy, the form of state and government, the life of man, it is necessary to reflect on how to guarantee rights, through law. Law must use the algorithmic systems, shaping them to values and constitutional values.
scheda docente | materiale didattico

Programma

BIG DATA AND DECISIONS AUTOMATION
date schedule topics room hours
Monday 7 October 2024 18-20 Presentation of the course and training objectives 248 2
Tuesday 8 October 2024 18-20 New Paradigms for Data Architectures 248 2
Monday 14 October 2024 18-20 Emerging Issues - Data Privacy/Data Governance 248 2
Tuesday 15 October 2024 18-20 GDPR: Regulations - GDPR: Roles 248 2
Wednesday 16 October 2024 18-20 Data Analysis & Design: W6H 8 2
Monday 21 October 2024 18-20 Data Modeling - ER 248 2
Tuesday 22 October 2024 18-20 ER: Identification Keys + Exercise 248 2
Wednesday 23 October 2024 18-20 ER: Hierarchies + Exercise 8 2
Monday 28 October 2024 18-20 Exercise + Introduction to Data Warehouse 248 2
Tuesday 29 October 2024 18-20 Data Warehouse-Multidimensional Model 248 2
Wednesday 30 October 2024 18-20 Big Data: Definition 8 2
Monday 4 November 2024 18-20 Big Data: NO Sql models 248 2
Tuesday 5 November 2024 18-20 Analysis Feedback from Students+Basic Concepts Review 248 2
Wednesday 6 November 2024 18-20 Big DataPicture: Data->Information->Knowledge->A.I. 8 2
Monday 11 November 2024 18-20 Public Administration Digitalization: Italian Regulatory Agency 248 2
Tuesday 12 November 2024 18-20 Big Data: AI 248 2
Wednesday 13 November 2024 18-20 Big Data: ML and Deep Learning 8 2
Monday 18 November 2024 18-20 Big Data: Use Cases 248 2
Tuesday 19 November 2024 18-20 Review Course Topics + Exercise 248 2
Wednesday 20 November 2024 18-20 Review Course Topics + Exercise 8 2
40


Testi Adottati

The lessons will be available on the e-learning platform of the University

Bibliografia Di Riferimento

"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 "Domain-Driven Design: Tackling Complexity in the Heart of Software" Eric Evans Addison-Wesley Professional First Printing 2004 ISBN: 0321125215 "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 "SMEData - Il diritto alla protezione dei dati personali: tra disciplina europea e adeguamento della disciplina nazionale" Università degli Studi Roma Tre - Dipartimento di Giurisprudenza Progetto cofinanziato dal Programma "Rights, Equality and Citizenship" della Unione Europea

Modalità Erogazione

The lessons will be supported by material that will be distributed at the end of each topic. The didactic approach will be oriented towards discussion and comparison on the topics that will be treated; therefore, the active participation of students in lessons will be particularly useful, to make the acquisition and consolidation of the notions learned more effective. The focus of the course will be centered on the functional understanding of the topics covered, highlighting the relationship between the use cases and the various classes of methods and tools presented, reserving an exposure to technologies oriented towards understanding their use rather than knowledge of the aspects of software engineering.

Modalità Frequenza

frequency is advisable

Modalità Valutazione

Students will be assessed on the basis of the acquired ability to describe the fundamental rationales of the design of BIG DATA solutions oriented to the analysis of complex phenomena for decision support, relating the methods and models covered by the course with the main classes of use cases.