CP1: Introduction to research
CP2: Formulating the problem, research objectives and planning
CP3: Good practices for developing the state of the art
CP4: Good practice in scientific writing and presentation of research work
CP5: Planning and carrying out research and development work

Within the scope of this curricular unit, the student must submit a project/dissertation proposal document by the end of the semester, properly contextualised, presenting the literature review and planning the dissertation/project work to be carried out. This document will be presented to a panel made up of two lecturers (typically the head of the course and one of the supervisors), with whom it will be discussed and who will carry out the assessment. The mark for the course will be the mark awarded by the teachers on the panel.

Mandatory

Research Methods for Business Students, Mark Saunders, 5th Edition ISBN: 9780273716860
Chapter 2, Performance and Quality Management of HE programmes, Elsa Cardoso,PhD thesis, 2011.
Hevner, Alan R.; March, Salvatore T.; Park, Jinsoo; and Ram, Sudha. 2004. Design Science in Information Systems Research, MIS Quarterly, (28: 1).
Winter, R. (2008). Design Science in Europe. European Journal of Information Systems, 17, 470-475.
Como fazer Investigação, Dissertações, Teses e Relatórios (segundo Bolonha), Maria José Sousa & Cristina Sales Baptista, Pactor, Junho 2011
Artigos científicos distribuídos ao longo do semestre.

Optional

Presentation Zen: Simple Ideas on Presentation Design and Delivery, Garr Reynolds, New Riders Press, 2008 slide:ology: The Art and Science of Creating Great Presentations, Nancy Duarte, O'Reilly Media, 2008

CP1: Formulating the problem, research objectives and planning
CP2: Developing the state of the art
CP3: Developing the work/study
CP4: Writing the dissertation

The dissertation is presented in accordance with the rules and by the deadlines established by ISCTE-IUL.
The dissertation will be defended in public examinations before a jury made up of three to five members, where the technical components, the written work and the public presentation and defence will be assessed. The exams last one hour and the grades in effect at ISCTE-IUL for the Master's degree apply.

Mandatory

Research Methods for Business Students, Mark Saunders, 5th Edition ISBN: 9780273716860
Chapter 2, Performance and Quality Management of HE programmes, Elsa Cardoso, PhD thesis, 2011.
Hevner, Alan R.; March, Salvatore T.; Park, Jinsoo; and Ram, Sudha. 2004. Design Science in Information Systems Research, MIS Quarterly, (28: 1).
Winter, R. (2008). Design Science in Europe. European Journal of Information Systems, 17, 470-475.
Como fazer Investigação, Dissertações, Teses e Relatórios (segundo Bolonha), Maria José Sousa & Cristina Sales Baptista, Pactor, Junho 2011
Artigos científicos distribuídos ao longo do semestre/scientific publications distributed during the semester.

Optional

Presentation Zen: Simple Ideas on Presentation Design and Delivery, Garr Reynolds, New Riders Press, 2008 slide:ology: The Art and Science of Creating Great Presentations, Nancy Duarte, O'Reilly Media, 2008

CP1: Formulating the problem, research objectives and planning
CP2: Developing the state of the art
CP3: Carrying out the project
CP4: Writing the final project report

The project is presented in accordance with the rules and within the deadlines set by ISCTE-IUL.
The project will be defended in public examinations before a jury of three to five members, where the technical/scientific quality of the project report and its presentation will be assessed.
The exams will last 1 hour and the ISCTE-IUL classifications for the Master's degree will apply.

Mandatory

Research Methods for Business Students, Mark Saunders, 5th Edition ISBN: 9780273716860
Chapter 2, Performance and Quality Management of HE programmes, Elsa Cardoso, PhD thesis, 2011.
Hevner, Alan R.; March, Salvatore T.; Park, Jinsoo; and Ram, Sudha. 2004. Design Science in Information Systems Research, MIS Quarterly, (28: 1).
Winter, R. (2008). Design Science in Europe. European Journal of Information Systems, 17, 470-475.
Como fazer Investigação, Dissertações, Teses e Relatórios (segundo Bolonha), Maria José Sousa & Cristina Sales Baptista, Pactor, Junho 2011
Artigos científicos distribuídos ao longo do semestre/scientific publications distributed during the semester.

Optional

Presentation Zen: Simple Ideas on Presentation Design and Delivery, Garr Reynolds, New Riders Press, 2008 slide:ology: The Art and Science of Creating Great Presentations, Nancy Duarte, O'Reilly Media, 2008

I. Management and Management of ISs in the Company
The. Manage the organization and manage Information Systems and Technologies (ITS)
B. Concerns of STI Managers
w. Impact of STIs on Organizations
II. Information Systems and Technologies Planning
The. STI Strategy in Organizations
B. Business Vision by STIs
w. Align STI strategy with Business strategy
III. Develop Information Systems and Technologies
The. Architecture Concept in ITS
B. Frameworks and Reference Models for STI
w. Information Management and Knowledge Management
IV. Explore Information Systems and Technologies
The. Project management
B. Telecommunications, the Internet and wireless technologies
w. IS security

Continuous evaluation:
1. Group Work – 70% of the final grade
Classroom presentation 20% (min grade 9.5 val.)
Final Report – submission in Moodle 50% (min grade 9.5 val.)
2. Individual Work – 30% of the final grade
Chapter summary in research format 20% (min grade 9.5 val.)
Note: one submission per student (of one of the four chapters) – Moodle submission of support pdf
Intervention in the room per pitch of 5 minutes 10% (min. score 9.5 val.)
Note: one pitch per student – ​​Moodle submission of support pdf
Rating by Exam:
Exam 1st Season, 2nd Season, and Special Season (alternative to the previous ones)
Written Test (50%) + Case Report (50%) – statement to be provided by the teacher and submitted in Moodle

Mandatory

Bach, S. O. (2001). A Gestão dos Sistemas de Informação, Centro Atlântico.
Laudon, K., & Laudon, J. (2021). Management Information Systems: managing the digital firm (17th Edition). Pearson Education.
Santos, A. J. R. (2008). Gestão Estratégica: conceitos, modelos e instrumentos, Escolar Editora.

Optional

Elia, S., Giuffrida, M., Mariani, M. M., & Bresciani, S. (2021). Resources and digital export: An RBV perspective on the role of digital technologies and capabilities in cross-border e-commerce. Journal of Business Research, 132, 158?169. https://doi.org/10.1016/j.jbusres.2021.04.010
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117?2135. https://doi.org/10.1080/00207543.2018.1533261

CP1. Historical notes on Machine Learning. Relationship with other displines. Applications.
CP2. Machine Learning problems and approaches;
CP3. Unsupervised Learning;
CP4. Supervised Learning (symbolic and sub-symbolic);
CP5. Reinforcement Learning;
CP6. Search methods and Genetic/Evolutionary Algorithms;
CP7. Data pre-processing, results validation;
CP8. Speedup of ML algorithms;
CP9. ML algorithm implementation.

It is only possible to pass this course by assessment throughout the semester, this course has no exam.

Assessment elements:
- 4 practical exercises, code and report, in groups of 2 (10% each) during the academic term with face-to-face discussion;
- 1 test (20%), during the academic term;
- group project (40%) which includes a report, code and oral presentation

The assessment in the special season will consist of the project carried out individually and, as in the other terms, to be handed in one week before the special term and a written test which replaces the component of the practical exercises and mini-tests. The weights of these assessment elements are the same as those indicated above.

Attendance is not used as an evaluation or failure criterion.

Mandatory

Ethem Alpaydin, Introduction to Machine Learning, Fourth Edition, 2020, https://mitpress.mit.edu/9780262043793/introduction-to-machine-learning/

Optional

- Tom Mitchell, Machine Learning, 1997, http://www.cs.cmu.edu/~tom/mlbook.html
- Simon Haykin, Neural Networks and Learning Machines, Third Edition, 2009, https://cours.etsmtl.ca/sys843/REFS/Books/ebook_Haykin09.pdf
- R. Duda and P. Hart, Pattern Classification and Scene Analysis., 1973, https://www.amazon.com/Pattern-Classification-Scene-Analysis-Richard/dp/0471223611

1. Introduction to Information Security
2. Legal, Regulatory, Ethical, and Professional Aspects of Information Security
3. Information Security Planning
4. Asset and Risk Management in Information Security
5. Digital Network Security
6. Data Privacy
7. Cryptography
8. Information Security Architecture and Engineering
9. Identity Management and Access Controls
10. Security Assessment and Testing in Applications and Software Development

Assessment throughout the semester:
- Completion of a set of exercises and practical projects with group activities (50%) throughout the semester
- Completion of two individual midterm assessments (50%), [minimum score of 6 points for each test]. The first assessment takes place midway through the semester and the second on the first exam date.
Attendance at a minimum number of classes is not compulsory for the assessment throughout the semester.
Assessment by exam:
For students who opt for this process or for those who fail the assessment throughout the semester process, with 3 seasons under the terms of the RGACC.

Mandatory

Peterson, Larry L., Davie, Bruce S. (2022). Computer networks : a systems approach (6th ed). Cambridge : Morgan Kaufmann, ISBN: 9780128182000
Stallings, William (2014) Cryptography and network security : principles and practice 6th ed. Publicação: Harlow : Pearson Education, ISBN: 9780273793359
Andress, J. (2014). The Basics of Information Security: Understanding the Fundamentals of InfoSec in Theory and Practice. Syngress.
Kim, D., Solomon, M. (2016). Fundamentals of Information Systems Security. Jones & Bartlett Learning.
Stallings, W., & Tahiliani, M. P. (2014). Cryptography and network security: principles and practice. London: Pearson.
Gordon, A. (Ed.). (2015). Official (isc) 2 Guide to the CISSP Cbk. CRC Press.
Stewart, J. M., Chapple, M., & Gibson, D. (2012). CISSP: Certified Information Systems Security Professional Study Guide. John Wiley & Sons.

Optional

Conjunto de artigos, páginas web e textos que complementam a informação bibliográfica da unidade curricular, e que serão fornecidos pela equipa docente.
Anderson, R. J. (2010). Security engineering: a guide to building dependable distributed systems. John Wiley & Sons.
Whitman, M., & Mattord, H. (2013). Management of information security. Nelson Education.
Whitman, M., Mattord, H. (2017). Principles of Information Security. Course Technology.
Katz, J., & Lindell, Y. (2014). Introduction to modern cryptography. CRC press.
Buchmann, J. A., Karatsiolis, E., & Wiesmaier, A. (2013). Introduction to public key infrastructures. Springer Science & Business Media.
Zúquete, A. (2018). Segurança em redes informáticas. FCA-Editora de Informática.
Correia, M. P., & Sousa, P. J. (2015). Segurança no software. Lisboa: FCA.
Stuttard, D., & Pinto, M. (2011). The web application hacker's handbook: finding and exploiting security flaws. John Wiley & Sons.
Sullivan, B., & Liu, V. (2011). Web application security, a beginner's guide. McGraw-Hill Education Group.
Schneier, B. (2007). Applied cryptography: protocols, algorithms, and source code in C. john wiley & sons.
Saraiva, D. A. F., Leithardt, V. R. Q., de Paula, D., Sales Mendes, A., González, G. V., & Crocker, P. (2019). PRISEC: Comparison of Symmetric Key Algorithms for IoT Devices. Sensors, 19(19), 4312. https://doi.org/10.3390/s19194312
Fábio Pereira, Paul Crocker, Valderi R.Q. Leithardt, (2022), PADRES: Tool for PrivAcy, Data REgulation and Security, Elsevier SoftwareX, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2021.100895

PC1. What Is Software Architecture and why it is Important
PC2 Understanding Quality Attributes (e.g. Availability, Interoperability, Modifiability, Performance, Testability)
PC3. Architectural Tactics and Patterns
PC4. Quality Attribute Modeling and Analysis
PC5. Architecture in Agile Projects
PC6. Architecture and Requirements
PC7. Designing an Architecture
PC8. Documenting Software Architectures
PC9. Architecture, Implementation, and Testing
PC10. Architecture Reconstruction and Conformance
PC11. Architecture Evaluation
PC12. Architecture and Software Product Lines

The practical nature of this curricular unit and the need for knowledge assessment to be carried out essentially through the ability of students to apply knowledge in the conception, design, implementation, validation, verification, deployment, maintenance and evolution of a software project, leads to the choice of a project-based evaluation method.

In the 1st season or normal season, evaluation throughout the semester, with no obligation of minimum attendance, with 3 evaluation moments of the group project:
- Presentation of progress mid-semester weighting 20% of the final grade;
- Final project report weighting 15% and software delivered weighting 35% of the final grade;
- Final presentation weighting 10% and discussion weighting 10% of the final grade.

The evaluation is based on the performance and individual contribution of each member of the group.

Or evaluation at the end of the semester (1st season), by individual project with 2 evaluation moments:
- Project report weighting 20% and software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% and discussion weighting 15% of the final grade.

In the 2nd season, grade improvement or special season (under the terms of the RGACC), assessment by individual project, available to students who request it:
- Project report weighting 20% of the final grade;
- Software delivered weighting 45% of the final grade;
- Presentation of the work weighting 10% of the final grade;
- Discussion of the work weighting 15% of the final grade.

All assessment periods include an assessment component carried out on the eLearning platform, with a weight of 10% (2 out of 20) in the final grade.

All assessment components, in all assessment periods, have a minimum score of 9.5 (out of 20).

Mandatory

Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1994). Design patterns. Boston, MA: Addison Wesley.
Fowler, M. (2012). Patterns of Enterprise Application Architecture. Addison-Wesley Educational.
Bass, L., Kazman, R., & Clements, P. (2021). Software Architecture in Practice. Addison-Wesley Educational.

Optional

Selected readings and tutorials made available in the eLearning platform throughout the semester.
Richardson, C. (2019). Microservice patterns. New York, NY: Manning Publications.
Richards, M., & Ford, N. (2020). Fundamentals of software architecture. Sebastopol, CA: O’Reilly Media.

PC1: Understanding Contexts of interaction in human-computer interfaces
User Experience, Engagement and Communication
Analysis of users? needs
PC2: Designing User Experience (In Context)
Participatory Design
Designing Mobile Experiences and intelligent Environments
Designing for Multiple Channels
Designing for Participation (online communities and social computing)
Creative use of storyboarding
PC3: Challenges of visualization or information in human-computer interfaces.
Applied to a wide variety of contexts for communication.
Applied to Business Intelligence and decision support systems
PC4: Fundamental principles of data visualization
PC5: Design of analytic interfaces for decision support:
Reporting
Dashboards
PC6: Crucial concepts of storytelling
PC7: Prototyping of human-computer interfaces
PC8: Evaluating Usability and User Experience:
formative evaluation;
evaluating mobile interaction;
usability heuristics.

The student has two assessment methods: assessment throughout the semester and assessment by exam (for 100% of the grade). Given the practical nature of this course, we recommend the semester-long assessment method, which includes the development of a practical assignment.

Assessment throughout the semester consists of the following components:
- Project (in groups) (45%): includes the delivery of a report, final prototype and video.
- Presentation and discussion of the project (45%), with an individual grade.
- Data visualization exercise (in groups): 10%

Eligibility criteria for evaluation throughout the semester: minimum class attendance of 60% (30% user experience and 30% data visualisation classes) .
Minimum mark of 10 in all components. The working groups have 3 to 4 members. Given the large number of students, it is not possible to carry out individual projects.

The project has two binding partial deliveries to continue to be assessed throughout the semester. The first delivery (typically in week 7) includes the initial version of the user research, with the definition of the questionnaires to be carried out with users. The second delivery (typically in week 11) includes the complete version of the user research, with the analysis of the data from the user questionnaires. Each group will receive informal and formative feedback to improve the quality of the final project. Those who fail to complete the two partial deliveries will be assessed by exam.

The orals for the presentation and discussion of the project and the data visualization exercise will be held via Zoom, on a date to be agreed with each group. The marks for the orals are individual and all members of the group must be present at the oral.

Alternatively, the student can be assessed by a final exam worth 100% of the grade, in the 1st period, 2nd period and special assessment period.

Mandatory

- Allen, J., Chudley,J. Smashing (2012) UX Design: Foundations for Designing Online User Experiences, Wiley
- Preece, J., Rogers, Y., and Sharp, H., (2007) - Interaction Design: Beyond HCI. Wiley
- Caddick, R, Cable, S. (2011) Communicating the user experience: a practical guide for useful UX documentation. Wiley
- Saffer, D. (2009) Designing for Interaction: Creating Innovative Applications and Devices. New Riders
- Norman, D. (2013) The Design of Everyday Things (revised and expanded edition). Basic Books
- Meirelles, I. (2013). Design for Information. Rockport Publishers.
- Nussbaumer Knaflic, C. (2015) Storytelling with data. Wiley
- Nussbaumer Knaflic, C. (2019) Storytelling with data: let’s practice! Wiley
- Wexler, S., Shaffer, J., and Cotgreave, A. (2017) The Big Book of Dashboards: Visualizing Your Data Using Real-World Business PCenarios. Wiley
- Cairo, A. (2016). The Truthful Art: Data, Charts, and Maps for Communication. New Riders.

Optional

- ISO/IEC 9241-11. (1998). Ergonomic requirements for office work with visual display terminals (VDT) - Part 11: Guidance on usability. Geneva, Switzerland: International Organization for Standardization.
- ISO/IEC 9241-210. (2015). Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems. Geneva, Switzerland: International Organization for Standardization.
- Nielsen, J. (1993). Usability Engineering. Morgan Kaufmann.
- Shneiderman, B. (1992). Designing the user interface strategies for effective human-computer interaction. 2nd Ed. Massachusetts: Addison-Wesley.
- Shneiderman, B. (1996). The eyes have it: a task by data type taxonomy for information visualizations. In Proceedings of the 1996 IEEE Symposium on Visual Languages (pp. 336-343).
- Evergreen, S. (2016). Effective Data Visualization: The Right Chart for the Right Data. SAGE Publications Ltd.
- Lima, M. (2017) The Book of Circles: Visualizing Spheres of Knowledge. Princeton Architectural Press. New York.
- Ware, C. (2012). Information Visualization: Perception for Design (3rd ed.), Morgan Kaufmann
- Garret, J.J. (2011). The elements of user experience: user-centered design for the Web and beyond. 2nd Ed. Berkeley, CA: New Riders.
- Rogers, Y., Sharp, H., & Preece, J. (2013). Interaction design: beyond human-computer interaction. 3rd edition. John Wiley & Sons.

PC1. Introduction to Kotlin programming language
PC2. Meta-programming and annotations
PC3. Design patterns for extensibility
PC4. Plugin-based systems

Periodic assessment:
- In-class quizzes (20%)
- Mid-term project evaluation (20%), to present during the semester
- Project (60%), to deliver and defend during the exam season

It is compulsory to attend at least 50% of the scheduled lectures and lab classes.

Project is the only form of evaluation, it is not possible to be evaluated through an exam. Evaluation in Época Especial requires delivering and defending the Project, with the requirement that its development should have been supervised during the semester classes.

Mandatory

André L. Santos, Livro digital de apoio (Kotlin, padrões de desenho), 2021.

Optional

Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides. Design Patterns. Elements of Reusable Object-Oriented Software, Addison-Wesley, 1995.
Joshua Bloch, Effective Java (3ª edição), 2017.
Dmitry Jemerov and Svetlana Isakova, Kotlin in Action, Manning, 2017.
David Farley, Modern Software Engineering: Doing What Works to Build Better Software Faster, Addison-Wesley, 2021.

1. Basic foundations of management
2. Pioneering ideas of management
3. Globalization phenomenon
4. Knowledge management
5. Organizational learning
6. Organizational culture
7. Knowledge management and innovation.

OPTION 1:
Assessment throughout the term:
1.Involvement in class activities - 20%.
-Levels of attendance and punctuality.
-Participation in class.
-Answer of questions in class.
2. Test - 80%.
Passing grade is 10 points, with at least 7,50 points (out of 20) in the test.

OPTION 2:
End-of-term exam - 100%.
A positive evaluation means a grade of 10 or above (over 20).

Mandatory

Schein, E. H. (2004). Organizational culture and leadership. London: The Jossey-Bass Business.

Nonaka, I.; Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.

Hofstede, G. (1991). Culture and Organizations: Software of the Mind. London: McGraw-Hill.

Fernandes, A. (2007). Tipologia da aprendizagem organizacional: Teorias e Práticas. Lisboa: Livros Horizonte.

Davenport, T.; Prusak, L. (1998). Working Knowledge. Cambridge, MA: Harvard Business School Press.

Chesbrough, H., (2003). Open Innovation - The New imperative for creating and profiting from technology. MA: Harvard Business School Press

Bartol, K. e Martin, D. (1998). Management (3ª Ed.). Boston, MA: McGraw-Hill.

Argyris, C.; Schon (1978). Organizational Learning: A Theory of Action Perspective. Reading: Addison-Wesley.

Optional

Nonaka, Ikujiro, & Hirotaka Takeuchi. 1995. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. New York, NY: Oxford University Press.

Hofstede, Geert. (2001) Culture's Consequences : Comparing Values, Behaviors, Institutions, and Organizations across Nations. 2nd ed. Thousand Oaks, CA: Sage Publications.

Iskandar, K., Jambar, M., Kosala, R. & Prabowo, H. (2017). Current Issue of Knowledge Management System for Future Research: A Systematic Literature Review. Procedia Computer Science 116 (2017) 68-80

Ferreira, M. P., Santos, J. C., Reis, N. & Marques, T., (2010) Gestão Empresarial. Lisboa: Editora LIDEL.

Donnely, J. (2000) Administração: Princípios de Gestão Empresarial. 10ª Ed., Lisboa: McGraw Hill.

Davenport, Thomas H., & Lawrence Prusak (1998) Working Knowledge: How Organizations Manage What They Know. Cambridge, MA: Harvard Business School Press.

workers . Boston, MA : Harvard Business School Press .

Davenport , T. (2005) Thinking for a living, how to get better performance and results from knowledge

Dalkir, K. (2011) Knowledge Management in Theory and Practice. Cambridge, Massachusetts: the MIT Press.

1·Ethics, computing, and society: The specificity of ethical issues in ICTs; Human rights in the digital age.
2·The responsibility of engineers. Active and passive responsibility. The context of technological development.
3·Normative ethics: Values, norms and virtues; Utilitarianism, Kant, Virtue ethics; normative argumentation.
4·Applied computer ethics and policy gaps: Ethical decision making and case studies.
5·Privacy and data protection: The GDPR.
6·Intellectual and industrial property: Copyright, the legal protection of computer programs; patents.
7·Artificial Intelligence: ethical principles and the AI act.

The course unit offers two assessment methods: continuous assessment and final exam assessment.

Continuous Assessment (CA) includes:

- Individual quizzes: Short individual quizzes (approximately 15 minutes each) will be conducted in person, focusing on the content covered in previous classes. The number of quizzes may vary depending on the pace of the course, and they will collectively account for 50% of the final grade.

- A group project involving a case analysis in the domain of applied computer ethics (50%):

The group project requires a minimum grade of 7 out of 20. Evaluation will be based on the quality of content, clarity of presentation, and consistency of the analysis.

Final Exam Assessment:

The final assessment consists of a written individual exam (100%), held during the official examination period, covering all course content. When necessary, a complementary oral exam may also be required. This assessment method is available to students who opt for it or who did not pass through continuous assessment.

Mandatory

Ethics, Technology, and Engineering: An Introduction. Ibo van de Poel, Lamber Royakkers, Wiley-Blackwell, 2023, 2nd edition.
Bynum, Terrell Ward, and Simon Rogerson, (2004), Computer Ethics and Professional Responsibility: Introductory Text and Readings. Oxford: Blackwell, 2004.
Canto Moniz, Graça. 2023. Manual de introdução à proteção de dados pessoais. Coimbra: Almedina.

Optional

- Cordeiro, A.B.N (2020). Direito da Proteção de Dados à luz do RGPD e da Lei n.º 58/2019, Edições Almedina.
- Ética para engenheiros, Arménio Rego e Jorge Braga, 2017 (edição atualizada), Lidel Edições Técnicas.
- Reforma de 2018 das regras de proteção de dados da UE, Regulamentos e orientações da Comissão Europeia, https://ec.europa.eu/commission/priorities/justice-and-fundamental-rights/data-protection/2018-reform-eu-data-protection-rules_pt
- Regulamento Inteligência Artificial: Proposta de 2019 do regulamento do parlamento europeu e do conselho que estabelece regras harmonizadas em matéria de Inteligência Artificial e altera determinados atos legislativos da União, https://eur-lex.europa.eu/legal-content/PT/TXT/?uri=CELEX:52021PC0206
- A gift of fire : social, legal, and ethical issues for computing technology / Sara Baase, 2013, 4th ed.
- The Handbook on European data protection law, 2018 edition, http://fra.europa.eu/en/publication/2018/handbook-european-data-protection-law-2018-edition
- Floridi, L. (2019). The Logic of Information: A Theory of Philosophy as Conceptual Design. Oxford University Press.
- Ethically Aligned Design, First Edition, Delivering ‘A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems’, 2019, The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
- Dignum, Virginila (2019). Responsible Artificial Intelligence, how to develop and use AI in a Responsible Way, Virginia Dignum, Springer.
- Smith, BC (1996). Limits of correctness in computers. In Computerization and controversy (2nd ed.), pp. 810-825, Academic Press, Inc. Orlando, FL, USA (C).
- Tavani, Hermani (2004). Ethics and Technology: Ethical Issues in Information and Communication Technology. New York: John Wiley & Sons.
- Saltz, J.S., Dewar, N. (2019). Data science ethical considerations: a systematic literature review and proposed project framework. Ethics Inf Technol 21.
- Outros textos ou artigos a indicar pelo docente ao longo do semestre.