|
Code
|
20110488 |
Language
|
ITA |
Type of certificate
|
Profit certificate
|
Module:
(objectives)
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.
|
Code
|
20110488-1 |
Language
|
ITA |
Type of certificate
|
Profit certificate
|
Credits
|
5
|
Scientific Disciplinary Sector Code
|
IUS/08
|
Contact Hours
|
40
|
Type of Activity
|
Core compulsory activities
|
Teacher
|
CELOTTO ALFONSO
(syllabus)
The impact of new technologies and artificial intelligence on rights, on the division of powers, on the form of state and government.
(reference books)
A. Celotto, L'età dei non diritti, Regnani editore, 2017.
Further reading will be recommended during the lessons, including: A. Celotto, Tribunale di Facebook. Quando la rete si fa Stato, in https://formiche.net/2019/10/tribunale-facebook-rete/ A. Celotto, Il Tribunale di Facebook e il futuro della democrazia, in https://www.huffingtonpost.it/entry/il-tribunale-di-facebook-e-il-futuro-della-democrazia_it_615aae17e4b008640eb613fc/
|
Dates of beginning and end of teaching activities
|
From 02/10/2022 to 21/12/2022 |
Delivery mode
|
Traditional
|
Attendance
|
not mandatory
|
Evaluation methods
|
Oral exam
|
|
|
Module:
(objectives)
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 of all kinds and nature and we ourselves, more or less consciously, are data generators. These data, however, are useful if, and only if, they become information that we are able to use to understand the reality in which we live, to guide our choices and to reduce the level of uncertainty of the complex system of which we are part. Anything that is not measurable cannot be managed or improved. Progress depends on the quality of the data and information we are able to extract and manage. Technology makes it possible to record, store, analyze increasing quantities of data, therefore new problems arise in terms of governance, quality, reliability, certification, data protection. The boundaries between social and private are more blurred, data can make us more free and aware, or more vulnerable and orientable. In step with technology, it is necessary to develop the ability to seek, integrate, elaborate, imagine, understand. And together with all this, ethical awareness and social responsibility are needed. 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 fields 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 find, together or individually.
|
Code
|
20110488-2 |
Language
|
ITA |
Type of certificate
|
Profit certificate
|
Credits
|
5
|
Scientific Disciplinary Sector Code
|
ING-INF/05
|
Contact Hours
|
40
|
Type of Activity
|
Core compulsory activities
|
Teacher
|
Conigliaro Giuseppe
(syllabus)
BIG DATA AND DECISION AUTOMATION
date time subjects room Monday 7 November 2022 16-18 New Paradigms for Data Architectures 278 Tuesday 8 November 2022 16-18 Emerging Issues - Data Privacy 278 Wednesday 9 Nov 2022 16-18 GDPR - Regulations 248 Monday, November 14, 2022 16-18 GDPR - Roles 278 Tuesday 15 November 2022 16-18 Data Analysis & Design: W6H 278 Wednesday 16 November 2022 16-18 Data Modeling - ER 248 Monday 21 November 2022 16-18 ER: Identification Keys + Exercise 278 Tuesday 22 November 2022 16-18 ER: Hierarchies + Exercise 278 Wednesday 23 November 2022 16-18 Exercise + Introduction to Data Warehouse 248 Monday 28 November 2022 16-18 Data Warehouse-Multidimensional Model 278 Tuesday 29 November 2022 16-18 Big Data: Definition 278 Wednesday 30 November 2022 16-18 Big Data: NO Sql models 248 Monday 5 December 2022 16-18 Students' Feedback+Basic Concepts Review 278 Tuesday 6 December 2022 16-18 Big Data Picture 278 Wednesday 7 December 2022 16-18 Italian Agency for Digital Public Administration 248 Monday 12 December 2022 16-18 Big Data: AI 278 Tuesday 13 December 2022 16-18 Big Data: ML and Deep Learning 278 Wednesday 14 December 2022 16-18 Big Data: Use Cases 248 Monday 19 December 2022 16-18 Review of Course Topics + Exercise 278 Tuesday 20 December 2022 16-18 Review of Course Topics + Exercise 278
(reference books)
The lessons will be available on the e-learning platform of the University
|
Dates of beginning and end of teaching activities
|
From 02/10/2022 to 21/12/2022 |
Delivery mode
|
Traditional
|
Attendance
|
not mandatory
|
Evaluation methods
|
Oral exam
|
|
|
|