#WEUNITUS

General Info

SUBJECTSEMESTERCFUSSDLANGUAGE
ONE SUBJECT OF YOUR CHOICE FROM: DIGITAL INFORMATION LAW 4 CFU + DIGITAL INFORMATION LAW LAB 4 CFU - PUBLIC INFORMATION LAW - -- -
PUBLIC INFORMATION LAW

ALESSANDRO STERPA

First Semester8GIUR-06/AITA

Learning objectives

1. Knowledge and understanding: In-depth knowledge of constitutional principles (Articles 21 and 15) and of the specific legislation on freedom of the press, the right to report, defamation, equal media access (par condicio), and State secrecy. Understanding of the system governing access to records (FOIA) and of personal data protection regulations (GDPR) in the public sector.
2. Applying knowledge and understanding: Ability to interpret and apply legislation to solve concrete cases (e.g., publication limits, exercising the right of rectification). Skills in drafting contracts or agreements related to the dissemination of informational content, ensuring compliance with copyright and licensing rules.
3. Making judgements: Ability to assess the lawfulness of an informational activity or a public communication campaign. Skills in judging and balancing conflicting fundamental rights, such as the right to information and the right to privacy.
4. Communication skills: Ability to argue legal positions effectively concerning issues of information and communication. Skills in interacting with authorities and regulatory bodies regarding disputes or access requests.
5. Learning skills: Development of a method for continuous updating on the evolution of case law and national and European legislation concerning media and digital law.

ONE SUBJECT OF YOUR CHOICE FROM: GENDER, SOCIAL MEDIA, DIGITAL COMMUNICATION AND SCREEN CULTURE, DIGITAL TECHNOLOGIES FOR THE ENVIRONMENT, ARCHIVI GREEN REVOLUTION, SUSTAINABLE CORPORATE FINANCE - -- -
GENDER, SOCIAL MEDIA, DIGITAL COMUNICATION AND SCREEN CULTURE

SONIA MARIA MELCHIORRE

First Semester8ANGL-01/CITA

Learning objectives

The primary objective is to enable students to communicate and analyze complex concepts in English in an academic and professional context, focusing on:
• Terminological Mastery: Acquire and accurately use specific vocabulary related to (1) AI and Ethics, (2) Gender Studies, and (3) Digital Media.
• ​​Academic Speaking and Writing: Develop the ability to formulate complex arguments, both in debates and critical essays, using a formal and cohesive register.
• Critical Comprehension: Improve the ability to read, summarize, and critically evaluate academic texts (articles, reports) and multimedia content in English.
Content-Specific Language Learning Objectives
The language learning objectives are structured according to the course topics, enabling students to:
1. Gender, Social Media, and Screen Culture
• Describe and Analyze: Use appropriate terminology to discuss platform design, user engagement, online identity construction, and algorithmic curation.
• Discuss Critically: Support debates on body objectification, influencer culture, and gender stereotypes in media.
2. Ethics, Harassment, and Moderation
• Explain and Evaluate: Master the vocabulary to address online harassment, cyberbullying, trolling, and hate speech.
• Compare and Contrast: Use linguistic frameworks to compare content moderation mechanisms and assess their impact on gender equity.
3. AI, Linguistic Bias, and Cognitive Bias
• Explain Technical Processes: Acquire the language to describe the functioning of Large Linguistic Models (LLM) and Natural Language Processing (NLP), including concepts such as textual data corpus and biased word associations.
• Analyze Psychological Concepts: Use vocabulary to define and discuss cognitive schemas, mental shortcuts, and confirmation bias.
• Formulate Solutions: Propose and discuss, in formal language, problems related to the gender gap in software development and suggest strategies for bias prevention in design.

Teacher's Profile

courseProgram


The requested course, GENDER, SOCIAL MEDIA, DIGITAL COMMUNICATION AND SCREEN CULTURE, is designed to explore the intersection of digital life, societal norms, and Artificial Intelligence (AI), with a crucial focus on preventing gender bias.

Here is a proposed structure and content for the course, highlighting the linguistic and cognitive aspects related to AI and bias prevention.
Gender and Social Media: Analysis of platform design, user engagement, and the construction of online identities. Topics include the objectification of bodies, "influencer culture," and the formation of marginalized digital communities.

Screen Culture and Representation: Critical examination of gender stereotypes in media, video games, and streaming content. Focus on the impact of algorithmic content curation on reinforcing or challenging existing norms.

Digital Communication Ethics: Study of online harassment (cyberbullying, trolling), hate speech, and the mechanisms platforms use for content moderation, assessing their impact on gender equity.

Linguistic Bias in Datasets:

The Problem of Corpus: Analyzing how the vast textual data used to train Large Language Models (LLMs) and other Natural Language Processing (NLP) systems reflects historical and societal gender stereotypes. For instance, how word associations (e.g., "nurse" with "she," "engineer" with "he") lead to biased outcomes in applications like translation services or CV screening.

Cognitive Schemas and Language: Exploration of the psychological concept of schemas (mental shortcuts) and how they manifest in language. Students learn how AI, by imitating human language, inadvertently learns and amplifies these biased cognitive shortcuts.

Cognitive Bias in Design and Use:

Programmer's Cognitive Bias: Study of how the lack of diversity in programming teams (a major gender gap in software development) leads to blind spots in system design. Focus on how human cognitive biases (e.g., confirmation bias) influence data collection and model testing.

Human-Computer Interaction (HCI) and Gender: Analysis of how gendered voice assistants (e.g., frequently defaulted to female voices) reinforce stereotypes of women as helpful or subservient. Evaluation of user perception and trust in AI outputs based on perceived gender.
Bias Linguistico nei Dataset:




examMode

The following elements are included in the final assessment:

Project conception to be carried out during the weeks of the course

Ongoing presentations of the chosen project

Final project presentation with an oral presentazion

Final grammar test at B1+/B2 level

books

Farci, Manolo e Scarcelli, Cosimo Marco (a cura di). Media digitali, genere e sessualità. q.e.

Rossi, Francesca. Il confine del futuro. Possiamo fidarci dell'intelligenza artificiale? (Feltrinelli, 2019).
Melchiorre,Sonia Maria, The Dispreferred L Word: Linguistic Choices and the Intensity of Words in TV Series Dialogue

Melchiorre,Sonia Maria, IT AIN’T COME IN STRAIGHT LINES. TV SERIES DIALOGUE AND LGBT+ VOCABULARY IN THE ENGLISH FOR MEDIA AND
COMMUNICATION CLASSROOM

These latter texts are available online for free download

classRoomMode

Non mandatory attendance.
Although attendance is not mandatory, it is highly recommended, especially for those who have greater difficulty with oral interaction.

bibliography

Farci, Manolo e Scarcelli, Cosimo Marco (a cura di). Media digitali, genere e sessualità. q.e.

Van Dijck, José. The Culture of Connectivity: A Critical History of Social Media. q.e.

Goffman, Erving. La vita quotidiana come rappresentazione q.e.

Rossi, Francesca. Il confine del futuro. Possiamo fidarci dell'intelligenza artificiale? (Feltrinelli, 2019).
Melchiorre,Sonia Maria, The Dispreferred L Word: Linguistic Choices and the Intensity of Words in TV Series Dialogue

Melchiorre,Sonia Maria, IT AIN’T COME IN STRAIGHT LINES. TV SERIES DIALOGUE AND LGBT+ VOCABULARY IN THE ENGLISH FOR MEDIA AND
COMMUNICATION CLASSROOM

These latter texts are available online for free download

DIGITAL TECHNOLOGIES FOR THE ENVIRONMENT

MARIA NICOLINA RIPA

First Semester8AGRI-04/CITA

Learning objectives

The main objective of the course is to provide knowledge of methods and tools for spatial observation and analysis by providing advanced knowledge related to Geographic Information Systems, Remote Sensing and spatial analysis of spatial data. The student will acquire specific skills related to the analysis and processing of spatial data as well as for understanding the existing system of planning tools.
At the end of the course, the student will know the basic elements of cartography and digital cartographic representation; he/she will be able to make thematic maps related to spatial elements, will be able to conduct spatial analysis of different phenomena and will be able to create a cartographic project. He/she will have acquired skills in the use of GIS software and the use of remote sensing images for spatial analysis. In order to develop problem solving capabilities, the student will be expected to produce an exam paper applying the acquired knowledge by conducting part of the work independently and part in a group to promote learning skills and to foster the ability ability to work autonomously.
The analysis methods used will be based on the acquisition of georeferenced data available from the main databases such as: national WMS geoportal; ISTAT database; Copernicus; Regional WEB GIS.

Teacher's Profile

courseProgram

TOOLS FOR TERRITORIAL ANALYSIS AND REPRESENTATION
Introduction to Geographic Information Systems (GIS)
Methods and Tools for Territorial Analysis: Acquisition, processing, and presentation of geographic data; tools for spatial analysis; interpolation methods; morphological analyses; multicriteria analysis.
Elements of Photointerpretation and Analysis of Remotely Sensed Images
TERRITORIAL PLANNING
Purposes and Principles of Territorial Planning
Legislative Framework for Different Levels of Planning
Tools for Territorial Governance
Methods and Tools for Territorial Planning
Project Work
Every year students are given a project on a specific topic described during the lessons that must be carried on using GIS. The project work is partly done in class and which must be illustrated during the exam.

examMode

At the end of the cycle of lectures, students are allowed to take the relevant assessment test in the forms previously approved by the Degree Course Council. The exam is oral and is based on the discussion of a paper (report) to be implemented through the use of GIS. This test is aimed at verifying the achievement of the objectives set for the specific discipline. The exam takes place in the forms established by the University Teaching Regulations. A specific report is drawn up for the execution, signed by the President and the members of the commission and by the student examined. The mark is expressed in thirtieths, with possible praise. Passing the exam requires the awarding of a grade not lower than eighteen / thirty and involves the assignment of the corresponding university educational credits.

books

lectures note

classRoomMode

Attendance in the classroom is recommended due to the numerous laboratory activities conducted in the GIS environment.

bibliography

lecture notes

Teacher's Profile

courseProgram

The main objective of the course is to provide the basic knowledge of the Territorial Information Systems (SIT) managed in the environment of the Geographical Information System (GIS) for the assessment of environmental risk. Particular attention will be paid to critical issues related to climate change and land use changes detected at the scale of the river basin. The analysis methods used will be based on the acquisition of georeferenced data available from the main databases such as: national WMS geoportal; ISTAT database; Copernicus; Regional WEB GIS.
The aims of the course are aimed at developing environmental analysis and monitoring skills with the aim of proposing technical application solutions.

examMode

At the end of the cycle of lectures, students are allowed to take the relevant assessment test in the forms previously approved by the Degree Course Council. The exam is oral and is based on the discussion of a paper (report) to be implemented through the use of GIS. This test is aimed at verifying the achievement of the objectives set for the specific discipline. The exam takes place in the forms established by the University Teaching Regulations. A specific report is drawn up for the execution, signed by the President and the members of the commission and by the student examined. The mark is expressed in thirtieths, with possible praise. Passing the exam requires the awarding of a grade not lower than eighteen / thirty and involves the assignment of the corresponding university educational credits.

books

lectures note

classRoomMode

Attendance in the classroom is recommended due to the numerous laboratory activities conducted in the GIS environment.

121019 - GEOGRAPHIC INFORMATION MANAGEMENT AND STORYMAP

LUISA CARBONE

First Semester 8GEOG-01/AITA

Learning objectives

The course aims to analyze and deepen the role of geographic information in the light of the profound changes due to globalization.
Geographic information no longer concerns only the production and display of a cartography, but is becoming the solution to support the political decisions of a territory, thanks to the ability to integrate and analyze geographic data and data deriving from various other sources
1) knowledge and understanding of the fundamentals of the information geography
2) applying knowledge and understanding of geographic plan
3) communication skills and critical elaboration of the argumentation and the logical organization of the geographical discourse;
4) making judgements and critical reading of a geographical essay.
5) learning skills

Teacher's Profile

courseProgram

After a brief review of what is the information value in the economic globalization process, taking into account the theme of the Geographic Information and the latest theories on smart and green economy. We will deepen the potentials of the Geographic Information Systems with a special focus on the relationship between population and inhabited territories in order to allow the knowledge of organizing the urban, rural and mountain touristic space.

examMode


The exam will prove the required knowledge, the ability to apply it and elaborate autonomously an appropriate geographical discourse, using proper scientific terminology and demonstrating capacity to logical argumentation, control of the topics and criticism.
The course provides for intermediate tests on the topics discussed in the lesson

books


L. Carbone, La città rizomatica Patron, 2024
M. Lazzeroni, M. Morazzoni, M. Paradiso (a cura di), Nuove geografie dell’innovazione e dell’informazione. Dinamiche, trasformazioni, rappresentazioni in Geotema n 59 (numero di rivista scaricabile a link https://www.ageiweb.it/geotema/geotema59/)

mode

Lessons will take place in mixed mode, in the classroom and in online mode recorded through the zoom platform.
Exemptions will be paid through the moodle platform.

classRoomMode

Attendance at the course is not compulsory, but recommended. Alongside the frontal hours there will be seminars and meetings to deepen the themes addressed in the course.

bibliography

L. Carbone, La città rizomatica Patron, 2024
M. Lazzeroni, M. Morazzoni, M. Paradiso (a cura di), Nuove geografie dell’innovazione e dell’informazione. Dinamiche, trasformazioni, rappresentazioni in Geotema n 59 (numero di rivista scaricabile a link https://www.ageiweb.it/geotema/geotema59/)

13307 - FURTHER FOREIGN LANGUAGES COMPETENCES

SONIA MARIA MELCHIORRE

First Semester 4ita

Learning objectives

The course aims to train professionals capable of interacting with the world of contemporary communication, with particular attention to the visual, performative and media intertexts in English. The course aims to provide students with an appropriate cultural education which will help them deal with the world of the creative industry, from advertising, film and video, and the visual and performing arts in general.
General objectives of this course is the development of the practical communicative competence of the English language towards a level 2(see CEFR) while enhancing
Students’ metalinguistic awareness.
Following Dublin’s descriptors:
1) Knowledge and understanding of oral and written English lev. B2; knowledge of the communicative grammar; how to format a digital text.
2) Knowledge and understanding applied to textualities like: the programme of the course and the exam requirements in both Italian and English; theoretical lectures hold in oral English; reference grammar books in English; instructions for tasks, activities and exercises on the UniTusMoodle course; the evaluation comments from the teacher.
3) Making judgements: capacity to decide among the many semantically equivalent options according to the cultural context and the communicative situation.
4) Communication skills: oral and written production in English lev. B1+; relational abilities with the rest of the group and of working in pairs and teams.
5) Learning skills: transversal competences at a metacognitive and metalinguistic level; information research particularly through on-line resources; digital skills to sustain online learning; self-evaluation.

Teacher's Profile

courseProgram

Information proposed by the coordinator for the creation of materials in English for the achievement of educational credits.The reference texts and all information will be available on the moodle platform

examMode

The final assessment is based on 50% project work realised during the course, 50% based on the results of the final written exam on grammar.

books

Raymond Murphy, Lelio Pallini, Essential Grammar in Use, 2nd ed. CUP.
BEERS FAGERSTEN, a cura di, Watching TV with a linguist, Syracuse University Press, 2016 (estratti)

websites
https://www.examenglish.com (https://www.examenglish.com/CEFR/cefr.php)
http://www.englishtag.com
https://learningenglish.voanews.com E http://www.bbc.co.uk/learningenglish
https://learnenglishteens.britishcouncil.org/level/b1-cefr/term

mode

All info will be available on the platform moodle. It is mandatory to register on moodle in order to access all notice and info

classRoomMode

Non compulsory

bibliography

websites
https://www.examenglish.com (https://www.examenglish.com/CEFR/cefr.php)
http://www.englishtag.com
https://learningenglish.voanews.com E http://www.bbc.co.uk/learningenglish
https://learnenglishteens.britishcouncil.org/level/b1-cefr/term

121522 - EXPLORATORY ANALYSIS OF DATA AND SOCIAL NETWORKS

NICCOLO' DI MARCO

First Semester 8INFO-01/AITA

Learning objectives

The course aims to provide students with the theoretical knowledge and practical skills required to perform exploratory analyses of structured and relational data, with particular attention to social data and digital traces generated by online platforms. Students will learn how to organise, transform, visualise, and interpret data using R, as well as how to represent and analyse social systems through the methods of network science and social network analysis. The course also promotes a critical assessment of data quality, methodological choices, interpretative limitations, and the ethical implications of digital data analysis.
Expected learning outcomes
Knowledge and understanding
By the end of the course, students will have acquired knowledge of:
the fundamental concepts of exploratory data analysis;
the main types of data, variables, and units of analysis;
the essential stages of a data analysis process;
the main methods for summarising and visualising distributions and relationships between variables;
the foundations of graph theory, network science, and social network analysis;
the main descriptive measures of network structure and node position;
the characteristics, opportunities, and limitations of data generated by digital platforms.
Students will also be able to understand the meaning of the main statistical and network measures and interpret them in relation to the social phenomenon under investigation.
Applying knowledge and understanding
By the end of the course, students will be able to:
import, organise, clean, and transform data using R;
manage missing values, duplicate observations, and anomalies;
produce appropriate descriptive summaries and visualisations;
explore relationships between quantitative and qualitative variables;
construct networks from relational data;
represent networks through adjacency matrices and edge lists;
calculate and interpret measures concerning nodes, edges, and overall network structure;
identify components, groups, communities, and relational patterns;
integrate information about actors, content, and relationships;
apply the methods introduced in the course to real-world datasets and data collected from digital environments.
Making judgements
Students will be able to critically assess:
the quality, reliability, and representativeness of data;
the suitability of analytical techniques for a given research question;
the choice of statistical measures, network metrics, and visualisation methods;
the robustness of interpretations derived from the results;
the distinction between empirical evidence, observed associations, and causal interpretations;
methodological limitations, potential biases, and ethical implications associated with the use of digital data.
Students will also be able to formulate evidence-based conclusions while avoiding generalisations that are not supported by the data.
Communication skills
Students will be able to present clearly and rigorously:
the characteristics of a dataset and the stages of the analysis;
the methodological choices adopted;
the results obtained through tables, charts, and network visualisations;
the meaning of the main statistical and relational measures;
the limitations of the analysis and possible alternative interpretations.
They will also be able to use appropriate language to communicate results to both technically trained audiences and non-specialist audiences.
Learning skills
Students will develop the ability to:
independently explore methods and tools for data and network analysis;
consult technical documentation, teaching materials, and software resources;
adapt the procedures learned during the course to new datasets and research problems;
update their skills in R and in the main tools for exploratory and relational analysis;
independently design simple and reproducible analytical workflows;
undertake more advanced studies in data analysis, computational social science, and network science.

Teacher's Profile

courseProgram

The course provides a theoretical and practical introduction to exploratory data analysis and social network analysis. Particular attention is devoted to data generated by digital platforms and online interactions, which are used as case studies to investigate relational structures, collective behaviours, and social dynamics. Students will acquire skills in organising, exploring, visualising, and interpreting structured and relational data using R. The course is organised into five modules.

Module 1: Data, Digital Systems, and the Analytical Process

Introduction to data as representations of social phenomena. Data types, units of analysis, variables, and relationships. Observational data, administrative data, and digital traces. Main stages of an analytical project: formulating research questions, collecting and preparing data, exploring patterns, interpreting results, and communicating findings. Data quality, measurement errors, biases, and limitations related to representativeness.

Module 2: Data Preparation and Management with R

Introduction to the R environment and to the main data structures used in data analysis. Importing, organising, and transforming datasets. Selecting, recoding, and creating variables; aggregating data; and integrating different data sources. Managing missing values, duplicate observations, and anomalies. Developing reproducible data analysis workflows.

Module 3: Exploratory Data Analysis and Data Visualisation

Analysis of distributions and description of the main characteristics of a dataset. Measures of central tendency, dispersion, and position. Analysis of relationships between quantitative and qualitative variables. Contingency tables, correlations, and comparisons between groups. Identification of patterns, outliers, and potential latent structures. Principles of data visualisation and creation of effective graphs in R for both data exploration and the communication of results.

Module 4: Network Science and Social Network Analysis

Representation of relational systems through graphs and networks. Nodes, edges, attributes, directed networks, weighted networks, and bipartite networks. Construction of networks from relational data. Adjacency matrices and edge lists. Analysis of global network structure through density, connected components, distances, diameter, and reciprocity. Analysis of node positions through degree, centrality, betweenness, and prestige measures. Cohesion, assortativity, homophily, clustering, and community detection. Network visualisation, exploration, and interpretation using R.

Module 5: Integrated Analysis of Digital Data and Case Studies

Application of the methods introduced in the course to real-world datasets from digital platforms and social contexts. Analysis of interaction, communication, and information diffusion networks. Integration of user attributes, content characteristics, and relational structures. Introduction to the exploratory analysis of digital content and to the construction of networks based on interactions, co-occurrences, or similarities. Critical discussion of results, methodological choices, and ethical issues related to the collection and analysis of social data.

examMode

The final exam will consist of a written test followed by an oral exam.
The written test will cover the topics presented in the course. The oral exam will consist of the presentation of a project developed using the tools covered in class.
Only students who have obtained a score of at least 18 on the written test will be admitted to the oral exam. The final grade will be the average of the two test scores.

In determining the final grade, the following will be taken into account:
- the level of knowledge of the content;
- the ability to critically analyze and formulate judgments;
- proficiency in oral presentation;
- the relevance and quality of the project, in relation to the course objectives and the tools learned.

books

R for data science. https://it.r4ds.hadley.nz/
Teacher's notebooks.

classRoomMode

Attendance is not mandatory, but it is strongly recommended.

18507 - THE WEB, MULTIMEDIALITY AND INTERACTIVE VISUALISATION OF DATA

ANDREA ZINGONI

Second Semester 8IINF-05/AITA

Learning objectives

a) LEARNING OBJECTIVES
Theory and practice of writing interactive Data-Driven Web pages.

b) EXPECTED LEARNING RESULTS
b1) knowledge and understanding
Learn Interactive Data Visualization (coherent with the course title).

b2) applying knowledge and understanding
Building simple Web pages, with HTML5, styled using CSS, and with a dynamic part programmed in Javascript with the help of the library D3.

b3) making judgements
Ability to evaluate Web pages containing Interactive Data Visualizations developed by others.

b4) communication skills
Acquire the correct terminology to communicate with professional programmers of Data-Driven Documents.

b5) learning skills
Autonomously search (either in the Internet or in textbooks) the right Web effects to obtain a desired data visualization on each one's Web pages.

Teacher's Profile

courseProgram

1) ICT Fundamentals & File Management
Hardware/software, operating systems, extensions and formats, versioning, backups (cloud/USB).
Lab: course folder structure + standard naming conventions + backup.
2) Networks & Personal Security
IP/DNS/HTTPS, phishing, password managers, 2FA, safe practices.
Lab: security check-up (password manager + 2FA) on a personal account.
3) Introduction to Generative AI as a Support Tool
What an LLM is; predictive vs. generative AI; prompts and context. Applications with ChatGPT and Copilot for: writing short reports, explaining sports Excel tables, generating ideas for exercise sheets.
Limits: hallucinations, bias, plagiarism; critical use and source verification.
4) Excel — Basics for Sports Data
Relative/absolute references, tables, SUM/AVERAGE/COUNTIF, basic charts, conditional formatting.
Lab: steps/resting HR dataset → indicators + 2 charts.
5) Excel — Analysis and Cleaning
Data cleaning (TRIM, REMOVE DUPLICATES), filter/sort, PivotTables, basic statistics (STDEV, VAR, CORRELATION), percentiles.
Lab: comparison of weekly activity + simple correlations.
6) HTML & CSS — Foundations
Semantic HTML5 (header/nav/main/section/article), CSS selectors, box model, typography, flexbox, and basics of responsive design.
Lab: “Athlete Profile” page (profile + training table exported from Excel as image/HTML) with a responsive layout.
Recommended text: Duckett, HTML & CSS. Design and Build Websites (Apogeo). Apogeo Editore.
7) MySQL — Fundamentals
Relational model, keys, data types, essential DDL/DML.
Lab: install MySQL + Workbench and import the “session” CSV; 5 queries (WHERE, ORDER BY, aggregations, JOIN).
Official downloads: MySQL Community/Installer & Workbench.
8) Computer Crimes (Italy) + Review Session
Overview of main legal provisions with applied examples (university, sports, social media):
Unauthorized access (Art. 615-ter c.p.). Gazzetta Ufficiale
Possession/dissemination of codes or tools (Art. 615-quater and 615-quinquies c.p.). Gazzetta Ufficiale
Damage to data/systems (Art. 635-bis c.p.). Gazzetta Ufficiale
Computer fraud (Art. 640-ter c.p.). Gazzetta Ufficiale
Historical context: Law 547/1993 (introduction of computer crimes). Normattiva
Lab: analysis of 3 case studies + “dos & don’ts” for collecting/using athletes’ data.

examMode

Oral examination with possible exercises to be completed on the computer

books

Texts (Italian) and Resources — with links
• Duckett, HTML & CSS. Progettare e costruire siti web (Apogeo). Ottimo per principianti, approccio visivo. Apogeo Editore
• Poli, Excel 2019. Formule e analisi dei dati (Hoepli). Funzioni e analisi dati con esempi. Hoepli Editore
• Camagni & Nikolassy, Creare database relazionali con SQL e PHP (Hoepli). Basi SQL con MySQL ed esercizi. Hoepli
• (alternativa) Camagni & Nikolassy, Progettare i database – SQL e PHP (Hoepli). Progettazione E/R + SQL. Hoepli
• Galdieri, Il diritto penale dell’informatica (Giappichelli). Quadro organico sui reati informatici. giappichelli.it+1
Useful open-access resources (free):
• Garetto, Laboratorio di Statistica con Excel (dispense con esercizi). Università del Salento
• MDN Web Docs (HTML/CSS) per riferimento aggiornato. developer.mozilla.org+1

classRoomMode

Attendance is not mandatory.
Each lecture will be live-streamed and recorded for asynchronous access.

ONE SUBJECT OF YOUR CHOICE FROM: DIGITAL INFORMATION LAW 4 CFU + DIGITAL INFORMATION LAW LAB 4 CFU - PUBLIC INFORMATION LAW - -- -
DIRITTO DELL'INFORMAZIONE DIGITALE

ANDREA GENOVESE

First Semester4GIUR-01/Aita

Learning objectives

The course aims to provide students with the technical-legal tools necessary for learning and deepening the issues related to the dissemination of information and the use of the media. In particular, the objectives to be pursued are 1) the Knowledge and the ability to understand the most relevant legal issues, starting from the study of the freedom of manifestation of thought and analysing the evolution of the same with regard to the most recent technological innovations; 2) Knowledge of the institutes will have to be translated into a capacity for applied understanding that will make it possible to achieve the objective of providing a systematic view of the complex and heterogeneous system of the media and of the associated responsibilities; 3) Autonomy of judgement, understood as the ability, through the study of the national and European regulatory framework of reference and the most recent case law applications, to use the means necessary to understand the delicate boundaries between 'lawful' and 'unlawful' in information and communication activities; 4) Communication skills, understood as the ability to transmit and communicate the concepts learned and understood; 5) Ability to learn the topics covered and to deepen one's understanding of the forms of communication that are widespread in the Digital Age, as well as to learn the meaning of personal data and the complex legal framework governing their processing, dissemination and disposal.
1) Knowledge and understanding (knowledge and understanding);
The Course aims at learning about digital information law, so as to provide the student with a framework on the relevant legal implications.
2) Applied knowledge and understanding (applying knowledge and understanding);
The Course offers the tools that allow to verify and apply, ni concrete cases, the disciplines necessary to make digital activity compliance with the reference legal framework (e.g., correct application of GDPR)
3) Autonomy of judgment (making judgements);
Once you have followed the Course and studied the subject matter, it is possible to achieve a strong ability to analyze judgment independently
4) Communication skills (communication skills);
The Course makes it possible to know the meaning of new words, in a context of cultural and lexical growth, which is indispensable for the expansion of communication skills.
5) Ability to learn (learning skills).

Teacher's Profile

courseProgram

The course covers the study of the following topics: Digital rights; the issue of legal personality of machines; digital assets and acts; online contracting; data commercialization and digital consent; intermediary liability; online copyright regulation; circulation of content; smart contracts; the market of crypto-assets

examMode

During the exam, which will take place through an oral interview, the student will be subjected to a series of questions, starting from very general ones and then checking details and more specific aspects

books

- Diritto privato digitale, edited by E. Battelli, Giappichelli, Turin, 2022, ISBN/EAN 978-88-921-2419-6


During the preparation, the student is required to read the relevant legislation as it pertains to the subject, which can be consulted in an updated civil code and on the website https://www.normattiva.it/.

classRoomMode

The course is scheduled to be held in person. Attendance is not mandatory, as students can prepare by studying the suggested manual.

LABORATORIO DIRITTO DELL'INFORMAZIONE DIGITALE

MARIA BARELA

First Semester4GIUR-01/Aita

Learning objectives

The course aims to provide students with the technical-legal tools necessary for learning and in-depth analysis of private issues relating to contracts, contractual and non-contractual liability, with particular reference to the dissemination of information and the use of the means of communication.
The most relevant legal profiles will be examined, moving from the study of the law, of the subjects of law and of the entities towards the freedom of expression of thought and its evolution also with respect to the new means of communication, crossing the institutions of private law. This will allow us to achieve the objective of providing a systematic vision of the complex and heterogeneous system of rules with respect to the mass media and the related responsibilities, in the national and European regulatory framework and with reference to the most important jurisprudential applications.

Teacher's Profile

courseProgram

1. Legal norm and order. 2. Subjective legal situations and legal relationship; 3. Subjects of law; 4. Recognized associations and foundations; 5. Unrecognized entities; 5. The contract; 6. The essential elements of the contract; 7. Contract conclusion process; 8. Economic enterprice and competition law; 9. Misleading advertising; 10. Consumer contracts; 11. Electronic commerce and telematic contract; 12. Organized tourism contracts; 13. Representation and collaboration contracts; 14. Liability for non-performance; 15. Civil liability: conditions, forms and compensation for damages; 16. Freedom of correspondence and communication in technological evolution. 17. Freedom of thought and freedom of information: object, forms and limits; 18. The right to report, the right to criticize and satire; 19. The liability of the journalist, director and publisher; 20. Defamation in the press and online; 21. Network and Internet Service Provider: duties and functions; 22. Control entities in telecommunications; 23. Copyright; 24. Privacy: the protection of personal data (GDPR n. 679/2016); 25. The right to be forgotten on the web and the search engine.

examMode

Oral exam.
Possible written test.

books


General learning:
- V. Roppo, Diritto Privato, Giappichelli, 2020;
- AAVV, Dieci Lezioni introduttive ad un corso di diritto privato, Utet, 2010.

Special learning:
- E. Battelli, Diritto privato digitale, Giappichelli, 2022
or
- A. Papa, Il diritto dell'informazione e della comunicazione nell'era digitale, 2021, Giappichelli Editore.

classRoomMode

optional attendance

ONE SUBJECT OF YOUR CHOICE FROM: GENDER, SOCIAL MEDIA, DIGITAL COMMUNICATION AND SCREEN CULTURE, DIGITAL TECHNOLOGIES FOR THE ENVIRONMENT, ARCHIVI GREEN REVOLUTION, SUSTAINABLE CORPORATE FINANCE - -- -
GREEN REVOLUTION ARCHIVES

ALVARO MARUCCI

First Semester8AGRI-04/CITA

Learning objectives

1. Knowledge and understanding: Full understanding of the dynamics and technologies of the Green Revolution (history, social/environmental impacts) and of the structure of the related archives (climatic, genetic, and crop data). Knowledge of archiving methodologies and of access to agricultural data from a sustainability-oriented perspective.
2. Applying knowledge and understanding: Ability to analyze historical and current data contained in agricultural archives to assess the environmental impact and productivity of specific farming practices. Skills in designing resource-management models (water, soil) based on archival information and oriented toward sustainability.
3. Making judgements: Ability to critically evaluate agricultural policies (past and present) in relation to archived data. Skills in assessing the reliability of environmental data sources and in proposing innovative solutions for the resilience of cropping systems.
4. Communication skills: Ability to communicate the results of archival analyses on agricultural sustainability to technical stakeholders and to the general public. Skills in producing reports and presentations that clearly use complex data (e.g., climate change impacts on agriculture).
5. Learning skills: Development of the ability to stay continuously updated on new agri-tech technologies and on methods for collecting and managing environmental big data. Skills in autonomous research for in-depth study of case studies on the ecological transition in agriculture.

Teacher's Profile

courseProgram

The microclimate in archives and confined spaces: definitions, physical variables of indoor/outdoor environments.
Storage areas and archives.
Legislative context and technical standards.
Energy balance in buildings: energy balance terms; air-vapor mixture;
psychrometric chart. Artificial energy, energy lost through transmission, ventilation, and radiation. Effect of solar radiation on external walls.
The role of technical systems.
Environmental conditions that can promote the formation of degradation phenomena,
prevention and monitoring over time.
Risks arising from temperature and humidity.
The phenomenon of condensation.
Microclimate monitoring: choice of variables and sensors, remote digital control.

Translated with DeepL.com (free version)

examMode

The course will be delivered through lectures and exercises, accompanied by discussions of theories and/or case studies, as well as
presentations of individual or group work. Activities other than lectures will account for 25% of the course hours. Only in cases specified by the university and
the course of study may lessons be conducted jointly via teleconferencing.

books

Course materials covering the entire programme will be provided by the instructor.

classRoomMode

Attendance is optional.

SUSTAINABLE CORPORATE FINANCE

PAOLA NASCENZI

First Semester8ECON-09/AITA

Learning objectives

1. Knowledge and understanding
Understand the core theories of modern corporate finance and sustainable finance.
Gain knowledge of sustainable financial instruments (e.g., green bonds, social bonds, sustainability-linked loans).
Learn non-financial reporting frameworks, ESG metrics, rating methodologies, and relevant EU regulations (e.g., SFDR, CSRD, EU Taxonomy).
2. Applying knowledge and understanding
Apply data analytics and quantitative methods to measure, monitor, and report corporate ESG risks and performance.
Evaluate the impact of ESG factors on the cost of capital (WACC), capital budgeting decisions, and overall firm valuation.
Structure financial plans that incorporate corporate sustainability criteria and model climate risk impacts on corporate assets.
3. Making judgements
Critically assess the reliability and quality of ESG data and ratings, effectively detecting and mitigating greenwashing risks.
Integrate ethical, environmental, and governance considerations into corporate risk management and capital allocation decisions.
Evaluate and compare alternative investment scenarios within the context of the green and digital transitions.
4. Communication skills
Clearly communicate complex financial analyses, ESG evaluations, and corporate sustainability reports using appropriate technical language to both financial and non-
financial stakeholders.
Effectively present empirical findings and sustainable finance strategies using data visualization tools.
5. Learning skills
Develop the ability to independently update knowledge within a rapidly evolving regulatory and market landscape.
Collect, process, and interpret heterogeneous financial and ESG data sources for ongoing professional development and analytical research.

SUBJECTSEMESTERCFUSSDLANGUAGE
18520 - OPTIONAL SUBJECT

First Semester 8ITA
121028 - PUBLIC CHOICES AND POLICIES OF CULTURE

GIUSEPPINA GIANFREDA

First Semester 8ECON-02/AITA

Learning objectives

Knowledge and understanding. Students will be able to understand the economic organization of the cultural markets, with a focus on the demand and supply of cultural services, the role of the Government and firms, the production chain and the interconnection between agents involved in the cultural markets.

Applying knowledge and understanding. Students will be able to apply their knowledge to the case studies which will be analysed during the course, also within teamwork and interactive sessions.

Making judgements. Students will develop the capacity to critically assess the agents’ objective functions in the cultural markets as well as the constraints and critical aspects related to the institutional background.

Communication skills. At the end of the course the students will strengthen their communication skills as well as their ability to present the results of their analysis, also through the presentation and the discussion of cases.

Learning skills. Through the discussion of cases students will be able to understand and actively simulate the strategies of the various parties involved.

Teacher's Profile

courseProgram

Part I – Rationale and Limits of Government Intervention
• Rationale and limits of government intervention in markets
• Public goods, externalities, and information asymmetries
• Public sector decision-making
• Case studies in public intervention: healthcare, social security, and education

Part II – The Cultural Industries
• The cultural industries: visual and performing arts
• Museums, artworks, and live events
• Demand, supply, and pricing in cultural markets
• The role of government intervention
• Key actors and the value chain
• Funding models
• Fundraising and grant-making
• Microeconomic tools for analysing cultural markets

examMode

Oral final written exam and mid-term assessments. Students will be graded according to their knowledge of the course content (both lectures and the textbooks) as well as on the basis of their capacity to handle the analytical tools (for example graphical analysis) developed during the course.

books

Di Maio, Amedeo, Economia e patrimonio delle attività culturali, Hoepli 2023.
Additional materials will be provided and/or indicated at the beginning of the course, and further readings may be assigned.

classRoomMode

Attending the course is not mandatory; however, it is strongly recommended

bibliography

Di Maio, Amedeo, Economia e patrimonio delle attività culturali, Hoepli 2023.
Additional materials will be provided and/or indicated at the beginning of the course, and further readings may be assigned.

121026 - MEDIA LANGUAGES AND DIGITAL ARCHIVES

GILDA NICOLAI

First Semester 8HIST-04/CITA

Learning objectives

1. Knowledge and understanding: Understanding of media language theories (semiotics, discourse analysis) and of the expressive specificities of different formats (text, audio, video, interactive). Knowledge of digital archiving structures and methodologies (metadata, digital asset management - DAM).
2. Applying knowledge and understanding: Ability to critically analyze messages conveyed by the media, deconstructing their rhetorical and ideological strategies. Skills in managing and organizing digital content archives, ensuring long-term preservation and accessibility through indexing systems.
3. Making judgements: Ability to assess the effectiveness and appropriateness of the chosen language according to the target audience and communication goal. Skills in judging the quality and integrity of a digital archive and in solving access and content reuse issues.
4. Communication skills: Ability to produce multimedia content (e.g., podcasts, short videos) using the specific languages of each medium consciously. Skills in interacting with IT and library systems to search for and retrieve content from archives.
5. Learning skills: Development of the ability to monitor the evolution of linguistic trends and new expressive forms generated by digital technologies (e.g., VR, generative AI). Skills in continuous learning on protocols and standards for digitization and archiving.

Teacher's Profile

courseProgram

The course on Media Languages and European Audiovisual Archives is divided into a theoretical component and a brief practical exercise, which are integrated with one another. The first part introduces the main languages of audiovisual media, with a focus on the transformations brought about by the digital environment and on the ways in which content is produced, circulated, and reused. The course addresses the role of audiovisual archives in shaping European cultural memory, the types of audiovisual sources, and models of organization and management. It also examines the main descriptive standards, metadata practices, legal issues related to copyright and access, as well as strategies for the preservation and promotion of audiovisual heritage. Special attention is given to European projects and infrastructures for the management and dissemination of audiovisual archives. The practical component includes an introductory exercise in the analysis and description of audiovisual materials, applying criteria for indexing and contextualization. At the end of the course, students will prepare a short in-depth paper on a case study or a specific type of European audiovisual archive.

examMode

-The final exam consists of an oral exam and a written paper.
-The assessment will evaluate the level of knowledge acquired on the topics covered in the course, the candidate’s ability to critically apply that knowledge to the problems and case studies addressed, as well as the clarity and effectiveness of the presentation. Grades will be expressed on a scale of 30, with the possibility of honors. The minimum passing grade is 18 out of 30.

books

Handouts provided by the instructor
E. Girotto, *The Train of Desires: The Audiovisual Representation of the Family in Postwar Italy*, Pacini Editore, 2023

classRoomMode

Attendance is optional. Students who are unable to attend the course must work with the instructor to arrange an alternative schedule.

bibliography

Handouts provided by the instructor
E. Girotto, *The Train of Desires: The Audiovisual Representation of the Family in Postwar Italy*, Pacini Editore, 2023

121126 - ECONOMICS AND BUSINESS MANAGEMENT

GIUSEPPINA GIANFREDA

First Semester 8ECON-07/AITA

Learning objectives

1. Knowledge and understanding: Knowledge of the fundamentals of business economics (financial statements, managerial accounting) and of management and organizational theories. Understanding of competitive dynamics and business models specific to the media and communication sector.
2. Applying knowledge and understanding: Ability to analyze a company's performance indicators (KPIs). Skills in strategically planning activities (marketing, production, human resources) and in developing a business plan for a new project or startup in the communication sector.
3. Making judgements: Ability to assess the economic and financial effectiveness of business decisions. Skills in evaluating the sustainability and profitability of emerging business models (e.g., digital subscriptions, freemium).
4. Communication skills: Ability to prepare and present clear economic and financial reports for management or investors. Skills in negotiating and collaborating effectively with different business functions (commercial, legal, IT).
5. Learning skills: Development of the ability to analyze the market and adapt strategically to macroeconomic and technological changes that affect communication enterprises.

Teacher's Profile

courseProgram

Part I – Rationale and Limits of Government Intervention
• Rationale and limits of government intervention in markets
• Public goods, externalities, and information asymmetries
• Public sector decision-making
• Case studies in public intervention: healthcare, social security, and education

Part II – The Cultural Industries
• The cultural industries: visual and performing arts
• Museums, artworks, and live events
• Demand, supply, and pricing in cultural markets
• The role of government intervention
• Key actors and the value chain
• Funding models
• Fundraising and grant-making
• Microeconomic tools for analysing cultural markets

examMode

Oral final written exam and mid-term assessments. Students will be graded according to their knowledge of the course content (both lectures and the textbooks) as well as on the basis of their capacity to handle the analytical tools (for example graphical analysis) developed during the course.

books

Di Maio, Amedeo, Economia e patrimonio delle attività culturali, Hoepli 2023.
Additional materials will be provided and/or indicated at the beginning of the course, and further readings may be assigned.

classRoomMode

Attending the course is not mandatory; however, it is strongly recommended

bibliography

Di Maio, Amedeo, Economia e patrimonio delle attività culturali, Hoepli 2023.
Additional materials will be provided and/or indicated at the beginning of the course, and further readings may be assigned.

18515 - ANALYSIS AND MANAGEMENT OF BIG DATA FOR INFORMATION

GIACOMO DE LUCA

Second Semester 8INFO-01/AITA

Learning objectives


The course aims to provide students with the necessary tools to independently produce analytical elaborations based on data retrieved from the internet (data journalism), starting from data available on the web, provided by institutions in open format, or obtained through scraping techniques. The course includes an introduction to programming in Python, database basics, and querying methods, to enable the importation of data from different sources and formats, their exploration, and cleaning for subsequent analysis, using key statistical measures

. The analyzed data will be visualized through Tableau to create interactive infographics. The course will examine ways to communicate data more immediately and effectively, in terms of graph style, color contrasts, fonts, and interaction methods, considering that good graphic style is essential for both data readability and the ability to discover causal relationships within them (data discovery). To facilitate the management of large amounts of data (Big Data) and to extract information from them, the main features of the Apache Spark Python framework in combination with Spark SQL will be illustrated, as well as the use of the framework in combination with visualization tools.

Additionally, students will learn how to use AI tools, especially GitHub Copilot, as programming assistants to produce analyses through prompts in natural language.

Knowledge and understanding: Knowledge related to programming with high-level language to perform data analysis tasks using basic statistical measures.
Utilization of knowledge and understanding: Students will learn how to perform a data analysis task: data collection (on the chosen topic), data cleaning, data transformation, or analysis using statistical measures and machine learning algorithms, visualization of results with Tableau.
Autonomy of judgment: As communication experts, students will be able to evaluate the results of an analysis and understand the initial data.
Communicative skills: Students will learn the appropriate terminology to communicate with domain experts for analysis (with Python and Spark) and data visualization tools.
Learning ability: Students will be able to apply analysis algorithms by developing computational thinking and apply these algorithms in their work.

Teacher's Profile

courseProgram

The course introduces data analysis as a tool for complexity reduction. It begins with a historical overview of data visualization, then moves on to contemporary analysis tools, focusing on Tableau and Python.

Data analysis with Tableau
The course makes extensive use of Tableau, starting from basic functionalities such as data loading and simple visualizations, up to creating interactive dashboards that utilize maps. Advanced techniques such as calculated fields, parameters, and filters for data transformation are covered.

Statistics and quantitative analysis
The program covers fundamentals of applied statistics, including Bayes' theorem, statistical tests, and various correlation analyses. Different types of correlation and their application to various data types are explored.

Data management and programming
The course addresses data cleaning techniques, relational database management, and Python programming, focusing on Pandas and Scikit-learn libraries. Predictive analysis techniques and clustering algorithms will also be introduced.

Case studies
The course includes practical laboratories using real datasets, including economic data, air quality, social media, and video game data. Students learn to formulate research questions and find appropriate datasets.

examMode

The evaluation is based on the presentation and discussion of a data analysis and visualization project. The project requires formulating a research question and an initial hypothesis to verify. Students must build a dataset by integrating different heterogeneous data sources relevant to the research question. Data analysis and exploration should aim to verify the hypothesis and identify emerging patterns or anomalies. The project must include visualizations and/or interactive dashboards to effectively communicate the analysis process, results, and conclusions. Students can use Tableau, Python, or a combination of both tools.

books

The main reference text for the course is:
Cairo, A. (2016). The Truthful Art: Data, Charts, and Maps for Communication. New Riders.
Specific course materials will be provided throughout the course, including links to guides and technical documentation. Students will have access to Scikit-learn's official documentation and Tableau's educational resources.

classRoomMode

Course attendance is recommended but not mandatory. Given the laboratory nature of the course, attending classes allows students to benefit from guided practical exercises and direct interaction during project development. Non-attending students can arrange an alternative examination project by contacting the professor via email or during office hours.

bibliography

Tufte, E. R. (2001). The Visual Display of Quantitative Information. Graphics Press. A fundamental introduction to data visualization, both from historical and design perspectives.
McKinney, W. (2022). Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter. O'Reilly Media. A comprehensive guide to essential Python libraries for data analysis.

18521 - FINAL EXAMINATION

Second Semester 20ita
ADDITIONAL TRAINING ACTIVITIES - -- -
FORMATIVE AND GUIDANCE TRAININGSSecond Semester8ita
OTHER KNOWLEDGE USEFUL IN THE WORLD OF WORK: LAI & GIS LABSecond Semester8ITA
ONE SUBJECT OF YOUR CHOICE FROM: WEB AND SOCIAL MEDIA FOR POLICY AND PUBLIC COMMUNICATION - -- -
THE WEB AND SOCIAL MEDIA IN POLITICS

LUIGI DI GREGORIO

Second Semester8GSPS-02/Aita

Learning objectives

1) Knowledge and understanding of the main concepts and theoretical frameworks;
2) Applying knowledge and understanding, using simulations and/or examples;
3) Learning skills to elaborate independent judgements;
4) Communication skills.

Teacher's Profile

courseProgram

"Web e social media per la politica" is an advanced course of political communication and political marketing.
The main objective is to explain, deepen and get to own not only the tools, but above all the dynamics and the main drivers that guide the choices of communication and political marketing on the Net.
For this reason, the course opens with a "dynamic" picture of contemporary democracies, aimed at understanding the many "whys" that led to the cd. "audience democracy", to the permanent electoral campaign, to the mediatized and personalized politics, to the growth of populist parties and movements along a constant decline of trust and approval of democratic performances and of the main political and institutional actors.
The second part of the course will focus on online political communication, also in this case focusing the attention first of all on winning logic and dynamics and only consequently on the tools.
Several topical cases will be examined and the respective successes and failures will be explained using the analytical categories described above.
The final part will be aimed at deepening a crucial aspect (and concept) of the matter, namely that of fake news and post-truth society. Why is it only today that we talk about post-truth societies? Why are fake news successful? Why, in short, does mass society and the information society seem to lead to an uninformed and gullible citizenship?

examMode

Oral examination. One question for each handbook or textbook. The aim of the exam is to assess the knowledge and understanding of key concepts and theoretical models; the applied knowledge and understanding through examples and/or simulations; the ability to learn and form an independent judgment; and communication skills in presenting projects or work.

books

Di Gregorio L., "Demopatìa. Sintomi, diagnosi e terapie del malessere democratico". Rubbettino.
Di Gregorio L., "War Room. Attori, strutture e processi della politica in campagna permanente". Rubbettino.

Choose one between the following:
Cacciotto M., "Il nuovo marketing politico". Il Mulino.
Mazzoleni G. e Bracciale R., "La politica pop online. I meme e le nuove sfide della comunicazione politica". Il Mulino.

classRoomMode

Attendance at lectures is not mandatory. However, considering that the teaching will be organized to ensure the centrality of the student's active role, participation in lectures is highly recommended.

bibliography

Blumenthal, S. (1980). The Permanent Campaign, Simon & Schuster, New York.
Blumler, J.G. e Kavanagh, D. (1999). The Third Age of Political Communication: Influences and Features, in «Political Communication», 16.
Bruter, M. e Harrison, S. (2020). Inside the Mind of a Voter. A New Approach to Electoral Psychology, Princeton University Press.
Ceccobelli, D. e Di Gregorio, L. (2022). The Triangle of Leadership. Authenticity, Competence and Ordinariness in Political Marketing, in «Journal of Political
Marketing», 21 (2).
Chadwick, A. (2013). The Hybryd Media System. Politics and Power, Oxford University Press, Oxford.
Cohen, M.D. (2021). Modern Political Campaigns. How Professionalism, Technology and Speed Have Revolutionized Elections, The Rowman & Littlefield Publishing, Lanham.
Corner, J. e Pels, D. (a cura di) (2003). Media and the Restyling of Politics, Sage, London.
Cwalina, W., Falkowski, A., Newman, B.I. (2011). Political Marketing. Theoretical and Strategic Foundations, Routledge, London-New York.
Esser, F. e Strömbäck, J. (a cura di) (2014). Mediatization of Politics: Understanding the Transformation of Western Democracies, Palgrave McMillan, Basingstoke, U.K.
Gans, H.J. (2003). Democracy and the news, Oxford University Press, New York.

PUBLIC COMMUNICATION

CHIARA MORONI

Second Semester8GSPS-06/AITA

Learning objectives

1. Knowledge and understanding: Understanding of the theoretical models of public, institutional, and social communication. Full knowledge of the regulations governing transparency, access to records, and public information within Public Administrations.
2. Applying knowledge and understanding: Ability to design and manage multichannel institutional and public service communication campaigns (social media, press, events). Skills in managing relations with media and stakeholders (Press Office, Public Relations Office) and in crisis communication for public entities.
3. Making judgements: Ability to assess the effectiveness and ethical–social impact of public communication strategies and messages. Skills in selecting the most appropriate channels and languages to ensure inclusivity and transparency in institutional information.
4. Communication skills: Mastery of the styles and tones of institutional communication, characterized by clarity, neutrality, and accessibility. Ability to mediate complex information (e.g., regulations, budgets) and make it understandable to citizens.
5. Learning skills: Development of the ability to monitor and analyze trends in digital governance and online public communication. Skills in adapting to new platforms and e-governance tools.

Teacher's Profile

courseProgram

"The course will address the following topics:

a) Definition, evolution and models of public communication, understood as institutional public communication promoted by public administrations.

b) Communication and digitalisation processes in the Public Administration (PA): use of digital tools.

c) Strategies and tools of institutional public communication adopted by public administrations to inform citizens, engage in dialogue with them, and involve them in the actions of public administrations, within an increasingly hybrid and convergent media ecosystem and in the context of the platform society: information and communication activities carried out by public administrations according to an integrated, multichannel communication approach. The role of the structures established by Law No. 150 of 2000: Public Relations Offices (URP), Press Offices, and Spokespersons. The evolution of professional profiles in light of the need for new skills in digital public communication (e.g. public communicator, public sector journalist, social media manager, etc.).

d) In-depth focus on European Union communication: the ways in which EU institutions communicate with citizens today; the role played by digital media and the forms of citizen participation in decision-making processes and in the opportunities offered by the EU."

examMode

Learning assessment will take place through an individual oral examination based on the required course readings and on the group work carried out in class, aimed at evaluating both the student's acquisition of the course content and their ability to critically rework and argue the material.

books

Alessandro Lovari, Gea Ducci, (2022) Comunicazione pubblica. Istituzioni, pratiche, piattaforme, Mondadori Università, Milano
D'Ambrosi L. (2019), La comunicazione pubblica dell'Europa. Istituzioni, cittadini e media digitali, Carocci, Roma-Bari
Splendiani S. (2022) La comunicazione di crisi e i social media: Principi, modelli teorici e applicazioni pratiche, Franco Angeli, Milano

classRoomMode

Although attendance is not compulsory, the opportunity to attend in person and/or via live streaming offers a valuable occasion to enhance one's academic preparation through the learning and exchange experiences that only active participation in lectures and seminars can ensure.

Learning objectives

1. Knowledge and understanding: In-depth knowledge of constitutional principles (Articles 21 and 15) and of the specific legislation on freedom of the press, the right to report, defamation, equal media access (par condicio), and State secrecy. Understanding of the system governing access to records (FOIA) and of personal data protection regulations (GDPR) in the public sector.
2. Applying knowledge and understanding: Ability to interpret and apply legislation to solve concrete cases (e.g., publication limits, exercising the right of rectification). Skills in drafting contracts or agreements related to the dissemination of informational content, ensuring compliance with copyright and licensing rules.
3. Making judgements: Ability to assess the lawfulness of an informational activity or a public communication campaign. Skills in judging and balancing conflicting fundamental rights, such as the right to information and the right to privacy.
4. Communication skills: Ability to argue legal positions effectively concerning issues of information and communication. Skills in interacting with authorities and regulatory bodies regarding disputes or access requests.
5. Learning skills: Development of a method for continuous updating on the evolution of case law and national and European legislation concerning media and digital law.

Learning objectives

The course aims to provide students with the technical-legal tools necessary for learning and deepening the issues related to the dissemination of information and the use of the media. In particular, the objectives to be pursued are 1) the Knowledge and the ability to understand the most relevant legal issues, starting from the study of the freedom of manifestation of thought and analysing the evolution of the same with regard to the most recent technological innovations; 2) Knowledge of the institutes will have to be translated into a capacity for applied understanding that will make it possible to achieve the objective of providing a systematic view of the complex and heterogeneous system of the media and of the associated responsibilities; 3) Autonomy of judgement, understood as the ability, through the study of the national and European regulatory framework of reference and the most recent case law applications, to use the means necessary to understand the delicate boundaries between 'lawful' and 'unlawful' in information and communication activities; 4) Communication skills, understood as the ability to transmit and communicate the concepts learned and understood; 5) Ability to learn the topics covered and to deepen one's understanding of the forms of communication that are widespread in the Digital Age, as well as to learn the meaning of personal data and the complex legal framework governing their processing, dissemination and disposal.
1) Knowledge and understanding (knowledge and understanding);
The Course aims at learning about digital information law, so as to provide the student with a framework on the relevant legal implications.
2) Applied knowledge and understanding (applying knowledge and understanding);
The Course offers the tools that allow to verify and apply, ni concrete cases, the disciplines necessary to make digital activity compliance with the reference legal framework (e.g., correct application of GDPR)
3) Autonomy of judgment (making judgements);
Once you have followed the Course and studied the subject matter, it is possible to achieve a strong ability to analyze judgment independently
4) Communication skills (communication skills);
The Course makes it possible to know the meaning of new words, in a context of cultural and lexical growth, which is indispensable for the expansion of communication skills.
5) Ability to learn (learning skills).

Teacher's Profile

courseProgram

The course covers the study of the following topics: Digital rights; the issue of legal personality of machines; digital assets and acts; online contracting; data commercialization and digital consent; intermediary liability; online copyright regulation; circulation of content; smart contracts; the market of crypto-assets

examMode

During the exam, which will take place through an oral interview, the student will be subjected to a series of questions, starting from very general ones and then checking details and more specific aspects

books

- Diritto privato digitale, edited by E. Battelli, Giappichelli, Turin, 2022, ISBN/EAN 978-88-921-2419-6


During the preparation, the student is required to read the relevant legislation as it pertains to the subject, which can be consulted in an updated civil code and on the website https://www.normattiva.it/.

classRoomMode

The course is scheduled to be held in person. Attendance is not mandatory, as students can prepare by studying the suggested manual.

Learning objectives

The course aims to provide students with the technical-legal tools necessary for learning and in-depth analysis of private issues relating to contracts, contractual and non-contractual liability, with particular reference to the dissemination of information and the use of the means of communication.
The most relevant legal profiles will be examined, moving from the study of the law, of the subjects of law and of the entities towards the freedom of expression of thought and its evolution also with respect to the new means of communication, crossing the institutions of private law. This will allow us to achieve the objective of providing a systematic vision of the complex and heterogeneous system of rules with respect to the mass media and the related responsibilities, in the national and European regulatory framework and with reference to the most important jurisprudential applications.

Teacher's Profile

courseProgram

1. Legal norm and order. 2. Subjective legal situations and legal relationship; 3. Subjects of law; 4. Recognized associations and foundations; 5. Unrecognized entities; 5. The contract; 6. The essential elements of the contract; 7. Contract conclusion process; 8. Economic enterprice and competition law; 9. Misleading advertising; 10. Consumer contracts; 11. Electronic commerce and telematic contract; 12. Organized tourism contracts; 13. Representation and collaboration contracts; 14. Liability for non-performance; 15. Civil liability: conditions, forms and compensation for damages; 16. Freedom of correspondence and communication in technological evolution. 17. Freedom of thought and freedom of information: object, forms and limits; 18. The right to report, the right to criticize and satire; 19. The liability of the journalist, director and publisher; 20. Defamation in the press and online; 21. Network and Internet Service Provider: duties and functions; 22. Control entities in telecommunications; 23. Copyright; 24. Privacy: the protection of personal data (GDPR n. 679/2016); 25. The right to be forgotten on the web and the search engine.

examMode

Oral exam.
Possible written test.

books


General learning:
- V. Roppo, Diritto Privato, Giappichelli, 2020;
- AAVV, Dieci Lezioni introduttive ad un corso di diritto privato, Utet, 2010.

Special learning:
- E. Battelli, Diritto privato digitale, Giappichelli, 2022
or
- A. Papa, Il diritto dell'informazione e della comunicazione nell'era digitale, 2021, Giappichelli Editore.

classRoomMode

optional attendance

Learning objectives

The primary objective is to enable students to communicate and analyze complex concepts in English in an academic and professional context, focusing on:
• Terminological Mastery: Acquire and accurately use specific vocabulary related to (1) AI and Ethics, (2) Gender Studies, and (3) Digital Media.
• ​​Academic Speaking and Writing: Develop the ability to formulate complex arguments, both in debates and critical essays, using a formal and cohesive register.
• Critical Comprehension: Improve the ability to read, summarize, and critically evaluate academic texts (articles, reports) and multimedia content in English.
Content-Specific Language Learning Objectives
The language learning objectives are structured according to the course topics, enabling students to:
1. Gender, Social Media, and Screen Culture
• Describe and Analyze: Use appropriate terminology to discuss platform design, user engagement, online identity construction, and algorithmic curation.
• Discuss Critically: Support debates on body objectification, influencer culture, and gender stereotypes in media.
2. Ethics, Harassment, and Moderation
• Explain and Evaluate: Master the vocabulary to address online harassment, cyberbullying, trolling, and hate speech.
• Compare and Contrast: Use linguistic frameworks to compare content moderation mechanisms and assess their impact on gender equity.
3. AI, Linguistic Bias, and Cognitive Bias
• Explain Technical Processes: Acquire the language to describe the functioning of Large Linguistic Models (LLM) and Natural Language Processing (NLP), including concepts such as textual data corpus and biased word associations.
• Analyze Psychological Concepts: Use vocabulary to define and discuss cognitive schemas, mental shortcuts, and confirmation bias.
• Formulate Solutions: Propose and discuss, in formal language, problems related to the gender gap in software development and suggest strategies for bias prevention in design.

Teacher's Profile

courseProgram


The requested course, GENDER, SOCIAL MEDIA, DIGITAL COMMUNICATION AND SCREEN CULTURE, is designed to explore the intersection of digital life, societal norms, and Artificial Intelligence (AI), with a crucial focus on preventing gender bias.

Here is a proposed structure and content for the course, highlighting the linguistic and cognitive aspects related to AI and bias prevention.
Gender and Social Media: Analysis of platform design, user engagement, and the construction of online identities. Topics include the objectification of bodies, "influencer culture," and the formation of marginalized digital communities.

Screen Culture and Representation: Critical examination of gender stereotypes in media, video games, and streaming content. Focus on the impact of algorithmic content curation on reinforcing or challenging existing norms.

Digital Communication Ethics: Study of online harassment (cyberbullying, trolling), hate speech, and the mechanisms platforms use for content moderation, assessing their impact on gender equity.

Linguistic Bias in Datasets:

The Problem of Corpus: Analyzing how the vast textual data used to train Large Language Models (LLMs) and other Natural Language Processing (NLP) systems reflects historical and societal gender stereotypes. For instance, how word associations (e.g., "nurse" with "she," "engineer" with "he") lead to biased outcomes in applications like translation services or CV screening.

Cognitive Schemas and Language: Exploration of the psychological concept of schemas (mental shortcuts) and how they manifest in language. Students learn how AI, by imitating human language, inadvertently learns and amplifies these biased cognitive shortcuts.

Cognitive Bias in Design and Use:

Programmer's Cognitive Bias: Study of how the lack of diversity in programming teams (a major gender gap in software development) leads to blind spots in system design. Focus on how human cognitive biases (e.g., confirmation bias) influence data collection and model testing.

Human-Computer Interaction (HCI) and Gender: Analysis of how gendered voice assistants (e.g., frequently defaulted to female voices) reinforce stereotypes of women as helpful or subservient. Evaluation of user perception and trust in AI outputs based on perceived gender.
Bias Linguistico nei Dataset:




examMode

The following elements are included in the final assessment:

Project conception to be carried out during the weeks of the course

Ongoing presentations of the chosen project

Final project presentation with an oral presentazion

Final grammar test at B1+/B2 level

books

Farci, Manolo e Scarcelli, Cosimo Marco (a cura di). Media digitali, genere e sessualità. q.e.

Rossi, Francesca. Il confine del futuro. Possiamo fidarci dell'intelligenza artificiale? (Feltrinelli, 2019).
Melchiorre,Sonia Maria, The Dispreferred L Word: Linguistic Choices and the Intensity of Words in TV Series Dialogue

Melchiorre,Sonia Maria, IT AIN’T COME IN STRAIGHT LINES. TV SERIES DIALOGUE AND LGBT+ VOCABULARY IN THE ENGLISH FOR MEDIA AND
COMMUNICATION CLASSROOM

These latter texts are available online for free download

classRoomMode

Non mandatory attendance.
Although attendance is not mandatory, it is highly recommended, especially for those who have greater difficulty with oral interaction.

bibliography

Farci, Manolo e Scarcelli, Cosimo Marco (a cura di). Media digitali, genere e sessualità. q.e.

Van Dijck, José. The Culture of Connectivity: A Critical History of Social Media. q.e.

Goffman, Erving. La vita quotidiana come rappresentazione q.e.

Rossi, Francesca. Il confine del futuro. Possiamo fidarci dell'intelligenza artificiale? (Feltrinelli, 2019).
Melchiorre,Sonia Maria, The Dispreferred L Word: Linguistic Choices and the Intensity of Words in TV Series Dialogue

Melchiorre,Sonia Maria, IT AIN’T COME IN STRAIGHT LINES. TV SERIES DIALOGUE AND LGBT+ VOCABULARY IN THE ENGLISH FOR MEDIA AND
COMMUNICATION CLASSROOM

These latter texts are available online for free download

Learning objectives

The main objective of the course is to provide knowledge of methods and tools for spatial observation and analysis by providing advanced knowledge related to Geographic Information Systems, Remote Sensing and spatial analysis of spatial data. The student will acquire specific skills related to the analysis and processing of spatial data as well as for understanding the existing system of planning tools.
At the end of the course, the student will know the basic elements of cartography and digital cartographic representation; he/she will be able to make thematic maps related to spatial elements, will be able to conduct spatial analysis of different phenomena and will be able to create a cartographic project. He/she will have acquired skills in the use of GIS software and the use of remote sensing images for spatial analysis. In order to develop problem solving capabilities, the student will be expected to produce an exam paper applying the acquired knowledge by conducting part of the work independently and part in a group to promote learning skills and to foster the ability ability to work autonomously.
The analysis methods used will be based on the acquisition of georeferenced data available from the main databases such as: national WMS geoportal; ISTAT database; Copernicus; Regional WEB GIS.

Teacher's Profile

courseProgram

TOOLS FOR TERRITORIAL ANALYSIS AND REPRESENTATION
Introduction to Geographic Information Systems (GIS)
Methods and Tools for Territorial Analysis: Acquisition, processing, and presentation of geographic data; tools for spatial analysis; interpolation methods; morphological analyses; multicriteria analysis.
Elements of Photointerpretation and Analysis of Remotely Sensed Images
TERRITORIAL PLANNING
Purposes and Principles of Territorial Planning
Legislative Framework for Different Levels of Planning
Tools for Territorial Governance
Methods and Tools for Territorial Planning
Project Work
Every year students are given a project on a specific topic described during the lessons that must be carried on using GIS. The project work is partly done in class and which must be illustrated during the exam.

examMode

At the end of the cycle of lectures, students are allowed to take the relevant assessment test in the forms previously approved by the Degree Course Council. The exam is oral and is based on the discussion of a paper (report) to be implemented through the use of GIS. This test is aimed at verifying the achievement of the objectives set for the specific discipline. The exam takes place in the forms established by the University Teaching Regulations. A specific report is drawn up for the execution, signed by the President and the members of the commission and by the student examined. The mark is expressed in thirtieths, with possible praise. Passing the exam requires the awarding of a grade not lower than eighteen / thirty and involves the assignment of the corresponding university educational credits.

books

lectures note

classRoomMode

Attendance in the classroom is recommended due to the numerous laboratory activities conducted in the GIS environment.

bibliography

lecture notes

Teacher's Profile

courseProgram

The main objective of the course is to provide the basic knowledge of the Territorial Information Systems (SIT) managed in the environment of the Geographical Information System (GIS) for the assessment of environmental risk. Particular attention will be paid to critical issues related to climate change and land use changes detected at the scale of the river basin. The analysis methods used will be based on the acquisition of georeferenced data available from the main databases such as: national WMS geoportal; ISTAT database; Copernicus; Regional WEB GIS.
The aims of the course are aimed at developing environmental analysis and monitoring skills with the aim of proposing technical application solutions.

examMode

At the end of the cycle of lectures, students are allowed to take the relevant assessment test in the forms previously approved by the Degree Course Council. The exam is oral and is based on the discussion of a paper (report) to be implemented through the use of GIS. This test is aimed at verifying the achievement of the objectives set for the specific discipline. The exam takes place in the forms established by the University Teaching Regulations. A specific report is drawn up for the execution, signed by the President and the members of the commission and by the student examined. The mark is expressed in thirtieths, with possible praise. Passing the exam requires the awarding of a grade not lower than eighteen / thirty and involves the assignment of the corresponding university educational credits.

books

lectures note

classRoomMode

Attendance in the classroom is recommended due to the numerous laboratory activities conducted in the GIS environment.

Learning objectives

1. Knowledge and understanding: Full understanding of the dynamics and technologies of the Green Revolution (history, social/environmental impacts) and of the structure of the related archives (climatic, genetic, and crop data). Knowledge of archiving methodologies and of access to agricultural data from a sustainability-oriented perspective.
2. Applying knowledge and understanding: Ability to analyze historical and current data contained in agricultural archives to assess the environmental impact and productivity of specific farming practices. Skills in designing resource-management models (water, soil) based on archival information and oriented toward sustainability.
3. Making judgements: Ability to critically evaluate agricultural policies (past and present) in relation to archived data. Skills in assessing the reliability of environmental data sources and in proposing innovative solutions for the resilience of cropping systems.
4. Communication skills: Ability to communicate the results of archival analyses on agricultural sustainability to technical stakeholders and to the general public. Skills in producing reports and presentations that clearly use complex data (e.g., climate change impacts on agriculture).
5. Learning skills: Development of the ability to stay continuously updated on new agri-tech technologies and on methods for collecting and managing environmental big data. Skills in autonomous research for in-depth study of case studies on the ecological transition in agriculture.

Teacher's Profile

courseProgram

The microclimate in archives and confined spaces: definitions, physical variables of indoor/outdoor environments.
Storage areas and archives.
Legislative context and technical standards.
Energy balance in buildings: energy balance terms; air-vapor mixture;
psychrometric chart. Artificial energy, energy lost through transmission, ventilation, and radiation. Effect of solar radiation on external walls.
The role of technical systems.
Environmental conditions that can promote the formation of degradation phenomena,
prevention and monitoring over time.
Risks arising from temperature and humidity.
The phenomenon of condensation.
Microclimate monitoring: choice of variables and sensors, remote digital control.

Translated with DeepL.com (free version)

examMode

The course will be delivered through lectures and exercises, accompanied by discussions of theories and/or case studies, as well as
presentations of individual or group work. Activities other than lectures will account for 25% of the course hours. Only in cases specified by the university and
the course of study may lessons be conducted jointly via teleconferencing.

books

Course materials covering the entire programme will be provided by the instructor.

classRoomMode

Attendance is optional.

Learning objectives

1. Knowledge and understanding
Understand the core theories of modern corporate finance and sustainable finance.
Gain knowledge of sustainable financial instruments (e.g., green bonds, social bonds, sustainability-linked loans).
Learn non-financial reporting frameworks, ESG metrics, rating methodologies, and relevant EU regulations (e.g., SFDR, CSRD, EU Taxonomy).
2. Applying knowledge and understanding
Apply data analytics and quantitative methods to measure, monitor, and report corporate ESG risks and performance.
Evaluate the impact of ESG factors on the cost of capital (WACC), capital budgeting decisions, and overall firm valuation.
Structure financial plans that incorporate corporate sustainability criteria and model climate risk impacts on corporate assets.
3. Making judgements
Critically assess the reliability and quality of ESG data and ratings, effectively detecting and mitigating greenwashing risks.
Integrate ethical, environmental, and governance considerations into corporate risk management and capital allocation decisions.
Evaluate and compare alternative investment scenarios within the context of the green and digital transitions.
4. Communication skills
Clearly communicate complex financial analyses, ESG evaluations, and corporate sustainability reports using appropriate technical language to both financial and non-
financial stakeholders.
Effectively present empirical findings and sustainable finance strategies using data visualization tools.
5. Learning skills
Develop the ability to independently update knowledge within a rapidly evolving regulatory and market landscape.
Collect, process, and interpret heterogeneous financial and ESG data sources for ongoing professional development and analytical research.

Learning objectives

1) Knowledge and understanding of the main concepts and theoretical frameworks;
2) Applying knowledge and understanding, using simulations and/or examples;
3) Learning skills to elaborate independent judgements;
4) Communication skills.

Teacher's Profile

courseProgram

"Web e social media per la politica" is an advanced course of political communication and political marketing.
The main objective is to explain, deepen and get to own not only the tools, but above all the dynamics and the main drivers that guide the choices of communication and political marketing on the Net.
For this reason, the course opens with a "dynamic" picture of contemporary democracies, aimed at understanding the many "whys" that led to the cd. "audience democracy", to the permanent electoral campaign, to the mediatized and personalized politics, to the growth of populist parties and movements along a constant decline of trust and approval of democratic performances and of the main political and institutional actors.
The second part of the course will focus on online political communication, also in this case focusing the attention first of all on winning logic and dynamics and only consequently on the tools.
Several topical cases will be examined and the respective successes and failures will be explained using the analytical categories described above.
The final part will be aimed at deepening a crucial aspect (and concept) of the matter, namely that of fake news and post-truth society. Why is it only today that we talk about post-truth societies? Why are fake news successful? Why, in short, does mass society and the information society seem to lead to an uninformed and gullible citizenship?

examMode

Oral examination. One question for each handbook or textbook. The aim of the exam is to assess the knowledge and understanding of key concepts and theoretical models; the applied knowledge and understanding through examples and/or simulations; the ability to learn and form an independent judgment; and communication skills in presenting projects or work.

books

Di Gregorio L., "Demopatìa. Sintomi, diagnosi e terapie del malessere democratico". Rubbettino.
Di Gregorio L., "War Room. Attori, strutture e processi della politica in campagna permanente". Rubbettino.

Choose one between the following:
Cacciotto M., "Il nuovo marketing politico". Il Mulino.
Mazzoleni G. e Bracciale R., "La politica pop online. I meme e le nuove sfide della comunicazione politica". Il Mulino.

classRoomMode

Attendance at lectures is not mandatory. However, considering that the teaching will be organized to ensure the centrality of the student's active role, participation in lectures is highly recommended.

bibliography

Blumenthal, S. (1980). The Permanent Campaign, Simon & Schuster, New York.
Blumler, J.G. e Kavanagh, D. (1999). The Third Age of Political Communication: Influences and Features, in «Political Communication», 16.
Bruter, M. e Harrison, S. (2020). Inside the Mind of a Voter. A New Approach to Electoral Psychology, Princeton University Press.
Ceccobelli, D. e Di Gregorio, L. (2022). The Triangle of Leadership. Authenticity, Competence and Ordinariness in Political Marketing, in «Journal of Political
Marketing», 21 (2).
Chadwick, A. (2013). The Hybryd Media System. Politics and Power, Oxford University Press, Oxford.
Cohen, M.D. (2021). Modern Political Campaigns. How Professionalism, Technology and Speed Have Revolutionized Elections, The Rowman & Littlefield Publishing, Lanham.
Corner, J. e Pels, D. (a cura di) (2003). Media and the Restyling of Politics, Sage, London.
Cwalina, W., Falkowski, A., Newman, B.I. (2011). Political Marketing. Theoretical and Strategic Foundations, Routledge, London-New York.
Esser, F. e Strömbäck, J. (a cura di) (2014). Mediatization of Politics: Understanding the Transformation of Western Democracies, Palgrave McMillan, Basingstoke, U.K.
Gans, H.J. (2003). Democracy and the news, Oxford University Press, New York.

Learning objectives

1. Knowledge and understanding: Understanding of the theoretical models of public, institutional, and social communication. Full knowledge of the regulations governing transparency, access to records, and public information within Public Administrations.
2. Applying knowledge and understanding: Ability to design and manage multichannel institutional and public service communication campaigns (social media, press, events). Skills in managing relations with media and stakeholders (Press Office, Public Relations Office) and in crisis communication for public entities.
3. Making judgements: Ability to assess the effectiveness and ethical–social impact of public communication strategies and messages. Skills in selecting the most appropriate channels and languages to ensure inclusivity and transparency in institutional information.
4. Communication skills: Mastery of the styles and tones of institutional communication, characterized by clarity, neutrality, and accessibility. Ability to mediate complex information (e.g., regulations, budgets) and make it understandable to citizens.
5. Learning skills: Development of the ability to monitor and analyze trends in digital governance and online public communication. Skills in adapting to new platforms and e-governance tools.

Teacher's Profile

courseProgram

"The course will address the following topics:

a) Definition, evolution and models of public communication, understood as institutional public communication promoted by public administrations.

b) Communication and digitalisation processes in the Public Administration (PA): use of digital tools.

c) Strategies and tools of institutional public communication adopted by public administrations to inform citizens, engage in dialogue with them, and involve them in the actions of public administrations, within an increasingly hybrid and convergent media ecosystem and in the context of the platform society: information and communication activities carried out by public administrations according to an integrated, multichannel communication approach. The role of the structures established by Law No. 150 of 2000: Public Relations Offices (URP), Press Offices, and Spokespersons. The evolution of professional profiles in light of the need for new skills in digital public communication (e.g. public communicator, public sector journalist, social media manager, etc.).

d) In-depth focus on European Union communication: the ways in which EU institutions communicate with citizens today; the role played by digital media and the forms of citizen participation in decision-making processes and in the opportunities offered by the EU."

examMode

Learning assessment will take place through an individual oral examination based on the required course readings and on the group work carried out in class, aimed at evaluating both the student's acquisition of the course content and their ability to critically rework and argue the material.

books

Alessandro Lovari, Gea Ducci, (2022) Comunicazione pubblica. Istituzioni, pratiche, piattaforme, Mondadori Università, Milano
D'Ambrosi L. (2019), La comunicazione pubblica dell'Europa. Istituzioni, cittadini e media digitali, Carocci, Roma-Bari
Splendiani S. (2022) La comunicazione di crisi e i social media: Principi, modelli teorici e applicazioni pratiche, Franco Angeli, Milano

classRoomMode

Although attendance is not compulsory, the opportunity to attend in person and/or via live streaming offers a valuable occasion to enhance one's academic preparation through the learning and exchange experiences that only active participation in lectures and seminars can ensure.

CHOICE GROUPSYEAR/SEMESTERCFUSSDLANGUAGE
ONE SUBJECT OF YOUR CHOICE FROM: DIGITAL INFORMATION LAW 4 CFU + DIGITAL INFORMATION LAW LAB 4 CFU - PUBLIC INFORMATION LAW -8 - -
121023 - PUBLIC INFORMATION LAW

ALESSANDRO STERPA

First Year / First Semester 8GIUR-06/AITA
118659 - DIRITTO DELL'INFORMAZIONE DIGITALE

ANDREA GENOVESE

First Year / Second Semester 4GIUR-01/Aita
118661 - LABORATORIO DIRITTO DELL'INFORMAZIONE DIGITALE

MARIA BARELA

First Year / Second Semester 4GIUR-01/Aita
ONE SUBJECT OF YOUR CHOICE FROM: GENDER, SOCIAL MEDIA, DIGITAL COMMUNICATION AND SCREEN CULTURE, DIGITAL TECHNOLOGIES FOR THE ENVIRONMENT, ARCHIVI GREEN REVOLUTION, SUSTAINABLE CORPORATE FINANCE -8 - -
121021 - GENDER, SOCIAL MEDIA, DIGITAL COMUNICATION AND SCREEN CULTURE

SONIA MARIA MELCHIORRE

First Year / First Semester 8ANGL-01/CITA
121022 - DIGITAL TECHNOLOGIES FOR THE ENVIRONMENT

MARIA NICOLINA RIPA

First Year / First Semester 8AGRI-04/CITA
121020 - GREEN REVOLUTION ARCHIVES

ALVARO MARUCCI

First Year / Second Semester 8AGRI-04/CITA
121654 - SUSTAINABLE CORPORATE FINANCE

PAOLA NASCENZI

First Year / Second Semester 8ECON-09/AITA
ADDITIONAL TRAINING ACTIVITIES -8 - -
18523 - FORMATIVE AND GUIDANCE TRAININGSSecond Year / Second Semester 8ita
121031 - OTHER KNOWLEDGE USEFUL IN THE WORLD OF WORK: LAI & GIS LABSecond Year / Second Semester 8ITA
ONE SUBJECT OF YOUR CHOICE FROM: WEB AND SOCIAL MEDIA FOR POLICY AND PUBLIC COMMUNICATION -8 - -
18512 - THE WEB AND SOCIAL MEDIA IN POLITICS

LUIGI DI GREGORIO

Second Year / Second Semester 8GSPS-02/Aita
121030 - PUBLIC COMMUNICATION

CHIARA MORONI

Second Year / Second Semester 8GSPS-06/AITA