Tuition fee EU nationals (2025/2026)
3000.00 €Programme Structure for 2025/2026
| Curricular Courses | Credits | |
|---|---|---|
| 1st Year | ||
|
Information Systems Modeling
6.0 ECTS
|
Common Branch | 6.0 |
|
Data Base Management Systems
6.0 ECTS
|
Common Branch | 6.0 |
|
Introduction to Scientific Research
6.0 ECTS
|
Common Branch | 6.0 |
|
Collaborative Systems
6.0 ECTS
|
Common Branch | 6.0 |
|
Web Applications and Usability
6.0 ECTS
|
Common Branch | 6.0 |
|
Basic Notions of Programming
6.0 ECTS
|
Specialization > Information Systems Development | 6.0 |
|
Information Technology and Knowledge Management
6.0 ECTS
|
Specialization > Information Systems Development | 6.0 |
|
Strategic Management and Organizational Information Systems
6.0 ECTS
|
Specialization > Information Systems Development | 6.0 |
|
Seminar on Information Systems Development
6.0 ECTS
|
Specialization > Information Systems Development | 6.0 |
|
Quantitative Techniques for Data Analysis
6.0 ECTS
|
Specialization > Information Systems Development > Optional Courses | 6.0 |
|
Quantitative Techniques for Data Analysis
6.0 ECTS
|
Specialization > Information Systems Development > Optional Courses | 6.0 |
|
Applied Informatics
6.0 ECTS
|
Specialization > Information Systems Development > Optional Courses | 6.0 |
|
Applied Informatics
6.0 ECTS
|
Specialization > Information and Knowledge Society | 6.0 |
|
Knowledge and Information Society
6.0 ECTS
|
Specialization > Information and Knowledge Society | 6.0 |
|
Project Seminary in Applied Informatics
6.0 ECTS
|
Specialization > Information and Knowledge Society | 6.0 |
Information Systems Modeling
With this curricular unit the student should be able to:
LO1. Identify and characterize types of information systems and their development stages;
LO2. Identify and use the techniques and methodologies used in the analysis of information systems, namely UML;
LO3. Identify the techniques used in the design of information systems and use the relational model to do the logical design;
LO4. Implement an information system using a DBMS.
The main issues to be addressed are:
1. Introduction to Information Systems
- Definition of information system.
- Information Technology.
- Stages in the Development of Information Systems.
- Techniques used in the development of information systems.
- Definition of model and its importance in the development of information systems.
2. Techniques and Methodologies for System Analysis
- Requirements specification.
- Object-oriented modeling.
3. UML
- Analysis and design of Databases using UML (Unified Modeling Language).
4. Information Systems Design
- Types of Databases and DBMS (Database Management Systems).
- Logical Models
5. Relational Model.
- Integrity concepts and rules
- Implementation of the class diagram in the relational schema.
6. Implementation of information systems
- Development of databases using a DBMS.
Assessment throughout the semester:
- Practical work (40%) – group work, to be delivered during the academic period;
- Individual written test (60%) – individual theoretical/practical test without consultation, to be carried out in the 1st assessment period.
The weighted average of the grades for the assessment elements (not less than 8 points in each of the assessment elements) will constitute the final grade for this scheme.
Final Exam (100%) – individual theoretical/practical test without consultation, to be carried out in the 1st period, 2nd period and Special period.
Students will take the final exam if they have chosen this regime or have not obtained a positive grade in the assessment throughout the semester.
- Alturas, Bráulio (2022). Introdução aos Sistemas de informação Organizacionais, 2ª Edição, Edições Sílabo, ISBN: 978-972-618-740-0.
- Booch, Grady; Rumbaugh, James & Jacobson, Ivar (2005). The Unified Modeling Language User Guide, 2nd Edition, Addison-Wesley, ISBN: 978-032-126-797-9.
- Fowler, Martin (2004). UML Distilled: A Brief Guide to the Standard Object Modeling Language, 3rd Edition, Addison-Wesley, ISBN: 978-032-119-368-1.
- Laudon, Kenneth C. & Laudon, Jane P. (2020). Management Information Systems: Managing the Digital Firm, 16th Edition, Pearson, ISBN 978-129-229-656-2.
- McNurlin, Barbara; Sprague Jr., Ralph & Bui, Tung (2009). Information Systems Management, 8th Edition, Prentice Hall, ISBN: 978-013-243-715-8.
- Nunes, Mauro & O'Neill, Henrique (2004). Fundamental de UML, 3ª Edição, FCA Editora, ISBN: 978-972-722-481-4.
- O'Neill, Henrique; Nunes, Mauro & Ramos, Pedro (2010). Exercícios de UML, FCA Editora, ISBN: 978-972-722-616-0.
- Ramos, Pedro Nogueira (2012). Desenhar Bases de Dados com UML, 2ª Edição, Edições Sílabo, ISBN: 978-972-618-474-4.
- Schneider, Geri & Winters, Jason P. (2001). Applying Use Cases: a Practical Guide, 2nd Edition, Addison-Wesley, ISBN: 978-020-170-853-0.
Data Base Management Systems
With this curricular unit the student should be able to:
LO1. Using the relational model for database design;
LO2. Develop relational databases using a relational DBMS;
LO3. Using SQL in a relational DBMS.
The programmatic contents (PC) are as follows:
1. Relational Model and Relational Algebra;
2. Introduction to Relational DBMS;
3. Introduction to SQL (Structured Query Language);
4. Introduction to VBA;
5. Competition and Transactions;
6. Introduction to open source DBMS.
Assessment throughout the semester:
- Practical work (50%) - group work, to be delivered during the school period;
- Individual written test (50%) - individual theoretical/practical test without consultation, to be carried out during the first assessment period.
The weighted average grade of the elements of assessment (not less than 8 points in each of the assessment) will constitute the final grade of this scheme.
Assessment by exam:
Students will take the final exam if they have chosen this scheme or have not achieved a positive grade on the assessment throughout the semester. The Exam includes a written part (70%) and a computer-based practical part (30%) – 1st period, 2nd period and special period.
- Alturas, Bráulio (2022). Introdução aos Sistemas de informação Organizacionais, 2ª Edição, Edições Sílabo, ISBN 978-989-561-265-9.
- Damas, Luís (2017). SQL, 14ª Edição, FCA Editora, ISBN 978-972-722-829-4.
- Pereira, José Luís (1998). Tecnologias de Bases de Dados, 3ª Edição, FCA Editora, ISBN 978-972-722-143-1.
- Caldeira, Carlos Pampulim (2011). A Arte das Bases de Dados, Edições Sílabo, ISBN 978-972-618-627-4.
- Date, Christopher J. (2004). An introduction to Database Systems, 8th Edition, Addison-Wesley, ISBN 978-032-119-784-9.
- Elmasri, Ramez & Navathe, Shamkant (2010). Fundamentals of Database Systems, 6th Edition, Addison-Wesley, ISBN 978-013-608-620-8.
- Gouveia, Feliz (2021). Bases de Dados - Fundamentos e Aplicações, 2ª Edição Aumentada, FCA Editora, ISBN: 978-972-722-901-7.
- Laudon, Kenneth C. & Laudon, Jane P. (2020). Management Information Systems: Managing the Digital Firm, 16th Edition, Pearson, ISBN 978-129-229-656-2.
- Loureiro, Henrique (2004). Curso Avançado de Programação em Access com VBA, FCA Editora, ISBN 978-972-722-426-5.
- McNurlin, Barbara; Sprague Jr., Ralph & Bui, Tung (2009). Information Systems Management, 8th Edition, Prentice Hall, ISBN 978-013-243-715-8.
- Neves, Jorge (2011). Fundamental do Access 2010, FCA Editora, ISBN 978-972-722-719-8.
- Silberschatz, Avi; Korth, Henry F. & Sudarshan, S. (2010). Database System Concepts, 6th Edition, Addison-Wesley, ISBN 978-007-352-332-3.
- Ullman, Jeffrey D. & Widom, Jennifer (2007). A First Course in Database Systems, 3rd Edition, Prentice Hall, ISBN 978-013-600-637-4.
Introduction to Scientific Research
With this curricular unit the student should be able to:
1. Characterize a scientific research.
2. Characterize a pre-project and a research project.
3. Identify and characterize the various phases of a research project.
4. Know how to choose a research theme and delimitate a problem.
5. Identify the main techniques for collecting and processing data, and interpretation of results.
6. Identify the main means of collecting information and literature review.
7. Develop and propose a small project (or pre-project) research.
The main issues to be addressed are:
1. Introduction to scientific research. Methodologies. Strategies.
2. Theme of the research proposal. Delimitation of a problem. Title and starting question. Objectives.
3. Research project - Structure, Planning, Stages. Methodologies quantitative and qualitative.
4. Variables. Hypotheses. Operationalization of variables.
5. Techniques of data collection. Measuring instruments. Population. Sample.
6. Data processing techniques.
7. Results - Analysis and Discussion.
8. Research for Information, literature review, theoretical framing and Bibliography.
9. Development and presentation of a pre-project.
10. Some notes on the structuring of a scientific project, an article and a master?s thesis.
The evaluation is done by individual written work (100%): each student must apply the developed knowledge and propose a scientific project - with a title, abstract, keywords, introduction, research function, objectives, brief theoretical framework, reference to the methodological approach, and essential bibliography; the deadline to deliver this project is after the end of the lessons in this curricular unit.
No final exam is planned.
Oliveira, L. (2011). Dissertação e Tese em Ciência e Tecnologia Segundo Bolonha. Lisboa: LIDEL.
Swetnam, D. (2010). Writing your Dissertation (3rd ed.). Oxford: howtobooks.
Biggam, J., Succeeding With Your Master's Dissertation: A Step-by-Step Handbook, 2021, Biggam, John (2021). Succeeding With Your Master's Dissertation: A Step-by-Step Handbook (5th. ed.). London: Open University Press.,
Davies, M. (2014). Doing a Successful Research Project (2nd. ed.). London: Palgrave Macmilan.
Dawson, C. (2015). Projects in Computing and Information Systems: A Student's Guide (3rd Ed.). London: Pearson Education Limited.
Vilelas, J. (2017). Investigação - O Processo de Construção do Conhecimento (2ª ed.). Lisboa: Edições Sílabo.
Carvalho, J. (2009). Metodologia do Trabalho Científico. «Saber Fazer» da investigação para dissertações e teses (2ª ed.). Lisboa: Escolar Editora.
Cornford, T. & Smithson, S. (2005). Project Research in Information Systems: A Student's Guide Paperback (2nd. Ed.). London: Palgrave Macmillan.
Creswell, J. & Clark, V. (2011). Designing and Conducting Mixed Methods Research. London, Los Angeles and New Delhi: SAGE (2nd edition).
D'Oliveira, T. (2005). Teses e Dissertações. Lisboa: Edições RH.
Oates, B. (2005). Researching Information Systems and Computing. London: SAGE Publications Ltd.
Quivy, R. & Campenhout, L. (2008). Manual de investigação em ciências sociais (2ª ed.). Lisboa: Gradiva.
Reis, F. (2010). Como Elaborar uma Dissertação de Mestrado segundo Bolonha. Lisboa: Pactor.
Stair, R., & Reynolds, G. (2017). Fundamentals of information systems. Cengage Learning.
Whitman, M. & Woszczynski, A. (2010). The Handbook of Information Systems Research (2nd. Ed.). Kennesaw: Idea Group Publishing.
Williamson, K. (2002). Research Methods for Students, Academics and Professionals - Information Management and Systems (2nd. Ed.). Wagga Wagga: Chandos Publishing.
Collaborative Systems
The student should be able to:
1. Understand the theoretical framework of group support systems.
2. Know how to model organizational processes.
3. Be sensitive to use collaborative systems.
4. Know how to parameterize collaborative systems.
5. Identify use of collaborative systems - also taking advantage of the opportunities provided by the right AI (Artificial Intelligence) tools.
1. Groupware Concepts
2. Support systems for the coordination and modeling of organizational processes
3 Cooperation support systems and group decision support systems
4. New perspectives in the field of collaborative systems in enterprises - including with the support of AI (Artificial Intelligence) platforms
Assessment throughout the semester:
- Individual test (50%) - Written test, mid-term, without consultation. Mandatory, with a minimum score of 8 (in 20).
- Practical group work (50%) – Mid-term. Mandatory, no minimum score.
Final exam (100%):
- Individual written exam, without consultation, encompassing the entire syllabus.
Takes the final exam - in season 1, 2 or special - who has not concluded the assessment throughout the semester with an average score greater than or equal to 10 (in 20).
Douglas, T., Gordon, H., Mike, & Webber, M. (2020). Working Remotely: Secrets to Success for Employees on Distributed Teams. N. Y.: Barrons Educational Series. ISBN: 9781506254333
Pimentel, M., & Fuks, H. (2012). ?Sistemas Colaborativos?. São Paulo: Campus. ISBN: 9788535246698
Fried, J., & Hansson, D. (2013). ?Remote: Office Not Required. Random House Audio. ISBN: 0804148996
Junior, R., Branco, R., & Leite, D. (2016). ?Gestão colaborativa de projetos: A combinação de Design Thinking e ferramentas práticas para gerenciar seus projetos?. São Paulo: Saraiva. ISBN: 9788547207861
DuRocher, D. (2021). “HTML and CSS QuickStart Guide: The Simplified Beginners Guide to Developing a Strong Coding Foundation, Building Responsive Websites, and Mastering... Web Design”. QuickStart Guides™ - Technology, ClydeBank Media LLC. ISBN: 9781636100005
Lawless, William et al. (2025). “Bi-Directionality In Human-AI Collaborative Systems”. E-Book. Elsevier Science. ISBN: 9780443405549
Paul R. Daugherty, H. James Wilson (2024). “Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI”. Harvard Business Review Press. ISBN: 9781647827205
Sutherland, L. et al. (2018). “Work Together Anywhere: A Handbook on Working Remotely – Successfully - for Individuals, Teams, and Managers. London: Collaboration Superpowers. ISBN: 9789082854121
Web Applications and Usability
The student should be able to:
1. Understand the Web Architecture;
2. Identify the technologies used to develop Web Applications;
3. Design Web Applications;
4. Configure and access the MySQL database;
5. Identify common data structures used in PHP and understand how PHP interacts with MySQL and HTML;
6. Develop Web Applications with database integration and data visualization;
7. Understand and know how to apply usability methods, techniques and evaluation tests.
8. Explore artificial intelligence tools to support the design, development, and analysis of web applications.
The main issues to be addressed are:
1. Understanding Web
2. Web Client
3. Web Server
4. Web Application Development
5. Usability Concepts - Usability Evaluation Methods and Techniques
6. Introduction to the Use of AI Tools in Web Development: AI-based programming assistants (e.g., GitHub Copilot, ChatGPT, CodeWhisperer); AI-driven prototyping tools (e.g., Uizard, Figma with AI features); Integration of AI APIs (e.g., OpenAI, Google Cloud AI, Hugging Face); AI-supported usability analysis tools (e.g., Hotjar with AI, Microsoft Clarity)
Assessment throughout the semester:
- Practical test (50%) - Individual practical test, mid-term, mandatory - to assess knowledge about the content of the first part of the syllabus (to be done in the middle of the class period), with no minimum score.
- Theoretical-practical test (50%) - individual written test without consultation - with all the syllabus contents, but with a greater focus on the second part of the syllabus -, to be done in the last week of classes, and with a minimum score of 7 points (in 20).
Both tests may be online, supported by Zoom.
Assessment by Exam:
Individual written exam, without consultation, encompassing the entire syllabus. The final exam is taken - in season 1, 2 or special - by students who have not successfully completed the assessment throughout the semester, with an average score of 10 or more (out of 20).
- Portela, F., & Queirós, R. (2018). Introdução ao Desenvolvimento Moderno Para a Web. Lisboa: FCA.
- Remoaldo, P. (2011). CSS3. Lisboa: FCA.
- Król, K. (2019). WordPress 5 Complete : Build beautiful and feature-rich websites from scratch, 7th Edition.
- Gonçalves, D., Fonseca, M., & Campos P. (2012). Introdução ao Design de Interfaces. Lisboa: FCA.
- Barker, D. (2016). Web Content Management: Systems, Features and Best Practices. O?Reilly.
- Abreu, L. (2013). JavaScript. Lisboa: FCA.
- Abreu, L. (2015). HTML5. Lisboa: FCA.
MacDonald, M. (2012). WordPress: The Missing Manual. O?Reilly
Livros :
- Outros relevantes no contexto da UC.
- https://wordpress.org/support/article/first-steps-with-wordpress-b/
- https://www.interaction-design.org/literature/topics/usability
- https://developer.mozilla.org/en-US/docs/Web/HTTP
- https://developer.mozilla.org/en-US/docs/Web/JavaScript
- https://developer.mozilla.org/en-US/docs/Web/CSS
- https://developer.mozilla.org/en-US/docs/Web/HTML
- https://www.php.net/manual/en/
Tutoriais Disponíveis na Internet :
Basic Notions of Programming
With this curricular unit the student should be able to:
1. Create algorithms to solve simple programming problems.
2. Manipulate different data types (primitive data types, vectors, matrix and strings).
3. Use selection instructions.
4. Use iteration instructions (cycles).
5. Develop functions and procedures.
6. Apply the concepts of class and object, and develop classes.
7. Use functional decomposition (a top-down approach) in the resolution of programming problems.
8. Use an IDE for programs development (and debugging).
The main issues to be addressed are:
1. The computer as a programmable machine.
2. Algorithms.
3. Primitive data types.
4. Variables and expressions.
5. Selection instructions.
6. Iteration instructions (cycles).
7. Matrixes and String.
8. Methods: functions and procedures.
9. Classes and Objects.
10. Approaches to programming problems.
Assessment throughout the semester:
- Practical test (50%) - individual practical test, mandatory - to assess knowledge in procedural/functional programming - to be done in the middle of the class period, with no minimum score.
- Theoretical-practical test (50%) - individual written test without consultation, mandatory, mid-term - with all the syllabus contents, but with a greater focus on the assessment of knowledge in object-oriented programming -, to be done in the last week of classes, and with a minimum grade of 7 points (in 20).
Both tests may be performed online, via e-learning and zoom support.
Assessment by Exam:
Individual written exam, without consultation, encompassing the entire syllabus. The final exam is taken - in season 1, 2 or special - by students who have not successfully completed the assessment throughout the semester, with an average score of 10 or more (out of 20).
- Liang, Daniel (2018). Introduction to Java, Comprehensive Version: International Edition (10th ed.). London, NJ: Prentice Hall / Pearson Education. ISBN-10: 0-27-3771388 ISBN-13: 978-0273771388
- Mendes, António e Marcelino, Maria (2012). Fundamentos de Programação em Java (4ª ed.). Lisboa: FCA. ISBN 978-972-722-637-5
- Aulas, apontamentos, exemplos e exercícios práticos disponibilizados na plataforma de e-learning.
- Eckel, Bruce (2007). Thinking in Java (4th ed.). London: Prentice Hall. ISBN: 0-13-187248-6
- Hubbard, John (2002). Programação em Java. Lisboa: McGraw-Hill. ISBN 972-773-141-4
- Jesus, Carla (2013). Curso Prático de Java. Lisboa: FCA. ISBN 978-972-722-750-1
- Neto, João (2014). Programação, Algoritmos e Estruturas de Dados (3ª ed.). Lisboa: Escolar Editora.
ISBN: 972-592-179-8
- Tutoriais de Java disponíveis online.
- Apontamentos, exemplos, exercícios e manuais disponibilizados na plataforma de e-learning.
Information Technology and Knowledge Management
This course aims to introduce information technologies and knowledge management, focusing on an integrated and critical vision of digital transformation solutions aligned with the objectives of organizations and internationally renowned practices.
It is also intended that students become familiar with references to ICT management and governance and the techniques and methods included in the IS development life cycle.
The aim is for students to be able to:
LO1. Understand the issues of Knowledge Management and its essential dimensions;
LO2. Know essential aspects related to Business Process Modeling (BPM);
LO3. Know some of the main models and normative reference bodies associated with the IS/IT area;
LO4. Present ITIL, CMMI and COBIT as global models of IS/IT processes;
LO5. Present IS, Cloud and Blockchain Architectures.
The main program contents (CP) to be addressed are:
The main program contents to be addressed are:
CP1. Knowledge Management: essential concepts and dimensions;
CP2. Business Process Management and BPM Modelling language;
CP3. Overview of the main reference models and standards in the IS/IT area;
CP4. IS/IT Service Management and the CMMI, ITIL and COBIT framework: constellations, processes and maturity levels;
CP5. IS, Cloud and Blockchain Architectures.
Assessment throughout the semester:
-Class participation (10%): evaluates attendance, including compulsory attendance at 75% of classes, involvement and individual contributions of students in discussions and practical activities.
-Group work (40%): Students are organised into groups of up to 5 elements, constituted at random, with support from the teacher. Group activities involve developing cases/exercises in class, applying the methods and content learnt. The work is presented and discussed in the penultimate class.
-Individual written test (50%): Individual theoretical/practical test without consultation, held in the last class.
The weighted average of the marks for the assessment elements (not less than 8 marks for each assessment element) will constitute the final mark for this scheme, which, if it is greater than or equal to 10 marks, will exempt the student from the final exam.
Final Exam:
-Written test (100%) Individual practical theory test without consultation, with a minimum mark of 8 - 1st season, 2nd season and Special Season. The special period is reserved for special cases provided for in the General Regulations for the Assessment of Knowledge and Competences (RGACC), Article 14 Special Period: https://www.iscte-iul.pt/conteudos/estudantes/informacao-academica/regulamentos-formularios/1025/regulamentos
- Dumas, M., La Rosa, M. , Mendling, J. and Reijers, H.A. (2018). Fundamentals of Business Process Management, 2nd Edition. Springer.
- Henriques, Telmo. (2019). Gestão de Sistemas de Informação: frameworks, modelos e processos. FCA Editora, Lisboa.
- Migdadi, M. M. (2021). Knowledge management, customer relationship management and innovation capabilities. Journal of Business & Industrial Marketing, 36(1), 111-124.
- Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, USA.
- Manesh, M. F., Pellegrini, M. M., Marzi, G., & Dabic, M. (2020). Knowledge management in the fourth industrial revolution: Mapping the literature and scoping future avenues. IEEE Transactions on Engineering Management, 68(1), 289-300.
-Shannak, R., Masa’deh, R., & Akour, M. (2012). Knowledge management strategy building: Literature review. European Scientific Journal, 8(15), 143-168.
-Rusman, A., Nadlifatin, R., & Subriadi, A. P. (2022). Information system audit using COBIT and ITIL framework: literature review. Sinkron: jurnal dan penelitian teknik informatika, 6(3), 799-810.
- Chrissis, M., Konrad, M. and Shrum, S. (2011). CMMI for Development: Guidelines for Process Integration and Product Improvement, 3rd Edition. Pearson Education. Boston, MA.
- Becerra-Fernandez, I, and Sabherwal, R. (2015). Knowledge Management Systems and Processes, 2nd Edition. Routledge. USA.
- Berniak-Woźny, J., & Szelągowski, M. (2022). Towards the assessment of business process knowledge intensity – a systematic literature review. Business Process Management Journal, 28(1), 40-61.
- Laudon, K. and Laudon, J. (2016). Management Information Systems: Managing the Digital Firm, 14th edition. Pearson Education Limited. London
- Khan, M., Ali, I., Mehmood, W., Nisar, W., Aslam, W., Shafiq, M., & Choi, J. G. (2021). CMMI Compliant Modernization Framework to Transform Legacy Systems. Intelligent Automation & Soft Computing, 27(2).
- Van Bon, J., De Jong, A., Kolthof, A., Pieper, M., Tjassing, R., Van Der Veen, A., & Verheijen, T. (2008). Foundations of IT Service Management Based on ITIL® (Vol. 3). Van Haren.
- The Stationery Office. (2012). An Introductory Overview of ITIL 2011. The Stationery Office. Norwich, UK.
- Al-Ashmoery, Y., Haider, H., Haider, A., Nasser, N., & Al-Sarem, M. (2021, December). Impact of IT service management and ITIL framework on the businesses. In 2021 International Conference of Modern Trends in Information and Communication Technology Industry (MTICTI) (pp. 1-5). IEEE.
- IIBA. (2009). A guide to the business analysis body of knowledge, version2.0. International Institute of Business Analysis. Toronto, Canada.
- Westerman, G., Bonnet, D., McAfee A (2014) Leading digital : turning technology into business transformation , Harvard Business Review Press
Strategic Management and Organizational Information Systems
This course aims to introduce ICT, focusing on the need to strategically align it with business objectives and strategy. It is also intended that students become familiar with the main stages of the IS implementation life cycle.
The aim is for students to be able to:
LO1. Recognise the implications of introducing ICT into the organisational structure;
LO2. Know methodologies for Strategic Planning of Information Systems;
LO3. Understand the need to integrate/articulate ICT with the business strategy;
LO4. Master a set of techniques and tools used in ICT management and in the analysis of companies and their surrounding environment;
LO5. Know conceptual models for strategic planning of information systems;
LO6. Analyse and assess risks;
LO7. Define objectives and KPIs;
LO8. Use project evaluation techniques;
LO9. Prepare a project budget
LO10. Know the principles of contracting and project management.
The main program contents to be addressed are:
CP1. Strategic planning and management;
CP2. Introduction to ICT planning and management in organisations;
CP3. Technological and organisational innovation;
CP4. Techniques and reference models for analysing the environment of information systems;
CP5. Strategic Planning Methodologies for IS/ICT;
CP6. SWOT and Canvas Analysis;
CP7. Organisational Analysis and Design;
CP8. Techniques for evaluating the portfolio of information systems;
CP9. Controls, risk assessment and definition of KPIs;
CP10. Cost/Benefit analysis;
CP11. Contracting and implementation
Assessment throughout the semester:
-Class participation (10%): Assesses attendance, including compulsory attendance at 75% of classes, involvement and individual contributions of students in discussions and practical activities.
-Group work (40%): Students are organised into groups of up to 5 elements, constituted at random, with support from the teacher. Group activities involve developing a strategic plan for a business supported by information systems, applying the methods and content learnt. The work is presented and discussed in the penultimate class of the semester.
-Individual written test (50%): Individual theoretical/practical test without consultation, held in the last class.
The weighted average of the marks for the assessment elements (not less than 8 marks for each assessment element) will constitute the final mark for this scheme, which, if it is greater than or equal to 10 marks, will exempt the student from the exam.
Exam:
-Written test (100%) Individual practical theory test without consultation, with a minimum mark of 8 - 1st season, 2nd season and Special Season. The special period is reserved for special cases provided for in the General Regulations for the Assessment of Knowledge and Competences (RGACC), Article 14 Special Period: https://www.iscte-iul.pt/conteudos/estudantes/informacao-academica/regulamentos-formularios/1025/regulamentos
- Pearlson, K. E., & Saunders, C. S. (2009). Strategic management of information systems.
Ribeiro, G. C., Oliveira, K. K. S., & Souza, R. A. C. (2021). DSI strategy canvas: Modelling the digital social innovation strategy. Journal of Social Entrepreneurship, 1-29.
- Michelle, O., & Wijaya, A. F. (2020). Strategic planning for IS/IT using ward and peppard at Maman Elektronik Sokaraja. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 4(2), 272-282.
- Alawamleh, H. A., ALShibly, M. H. A. A., Tommalieh, A. F. A., Al-Qaryouti, M. Q. H., & Ali, B. J. (2021). The challenges, barriers and advantages of management information system development: Comprehensive review. Academy of Strategic Management Journal, 20(5), 1-8.
- Stonehouse, G., & Snowdon, B. (2007). Competitive advantage revisited: Michael Porter on strategy and competitiveness. Journal of Management Inquiry, 16(3), 256-273.
- Kaplan, Robert & Norton, David (2006). Alignment: Using the Balanced Scorecard to Create Corporate Synergies. Harvard Business School Press, ISBN-13: 978-1591396901.
- Siebel, T. M. (2019). Digital transformation: survive and thrive in an era of mass extinction. RosettaBooks.
- Papke-Shields, K. E., & Boyer-Wright, K. M. (2017). Strategic planning characteristics applied to project management. International Journal of Project Management, 35(2), 169-179.
- Luftman, J., Lyytinen, K., & ben Zvi, T. (2017). Enhancing the measurement of information technology (IT) business alignment and its influence on company performance. Journal of Information Technology, 32(1), 26-46.
- Kaplan, R. S., & Norton, D. P. (1996). Using the balanced scorecard as a strategic management system.
- Rabetino, R., Kohtamäki, M., & Federico, J. S. (2021). A (re) view of the philosophical foundations of strategic management. International Journal of Management Reviews, 23(2), 151-190.
- Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 2025.
- Bican, P. M., & Brem, A. (2020). Digital business model, digital transformation, digital entrepreneurship: Is there a sustainable “digital”?. Sustainability, 12(13), 5239.
- Cassidy, A. (2016). A practical guide to information systems strategic planning. CRC press.
- John Ward, Joe Peppard, Strategic Planning for Information Systems, 3rd edition, John Wiley and Sons, 2002.
- Martins, António G., 2009, “Da origem do conhecimento à inovação organizacional”, Economia Global e Gestão, Vol. V, 1-2/00, AEDG, ISCTE
Seminar on Information Systems Development
LG1. Know the current problems and challenges of organizations in the use of information technologies as a differentiating factor, modernity and competitiveness in the digital world.
LG2. Discuss the use of information systems in the digital transformation of organizations and know how to identify the respective benefits and risks of their application.
LG3. Know the challenges and principles of accelerated development, supported by low-code / no-code platform tools.
LG4. Identify DevOps concepts, practices, and processes that aim to accelerate and automate aspects of software development, testing, and release processes.
LG5. Know how to develop applications with support for low-code / no-code platform tools, such as Power Apps, PowerBI, Outsystem or Wordpress.
LG6. To program a computer solution on a given topic in a low-code / no code platform tool (as previously presented).
LG7. Presentation and defense of an application developed in low-code / no-code platform.
The main topics to be addressed are:
1. Overview of the main problems of organizations and disruptive technologies.
2. Notions about technological trends and organizational challenges in digital transformation processes.
3. Reflection on the challenges of accelerated development supported in low-code / no-code platform tools.
4. Important aspects about DevOps practices and core processes.
5. Guidance on the methods to be adopted in the accelerated development of low-code / no-code platform software.
6. Development of an app or information system solution with low-code / no-code platform software.
7. Presentation and discussion of the solution implemented with ?low-code / no-code platform? software.
Assessment throughout the semester:
Individual project consisting of two components: 1) Development of a computer solution for the web with low-code / no-code platform software (60%) – mid-term evaluation;
2) Technical report with presentation and description of the objectives of the IT solution implemented (40%) – mid-term evaluation (last class week).
In this curricular unit of seminar the evaluation is by project only. There is no evaluation by exam.
Talesra, K., & Nagaraja, G. S. (2021). Low-Code Platform for Application Development. International Journal of Applied Engineering Research, 16(5), 346-351.
Prakash, P. S. (2022). Introduction: Microsoft Power Apps. In Power Platform and Dynamics 365 CE for Absolute Beginners (pp. 1-27). Apress, Berkeley, CA.
Portela, F., & Queirós, R. (2018). Introdução ao Desenvolvimento Moderno Para a Web. Lisboa: FCA.
Barker, D. (2016). Web Content Management: Systems, Features and Best Practices. O?Reilly.
Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13-66.
Souli, A., Hellal, A., Bashour, R., & Kharaz, A. (2015). Impact of loads on power flow in power systems using PowerApps and ETAP. Przegl?d Elektrotechniczny, 91(7), 120-123.
Shahi, C., & Sinha, M. (2020). Digital transformation: challenges faced by organizations and their potential solutions. International Journal of Innovation Science.
Rogers, D. L. (2017). Digital transformation. Practical guide. Moscow: publishing group? Tochka.
Ribeiro, C. S. (2022). Desenvolvimento de Soluções com Integração dos serviços da Microsoft Power Platform (Doctoral Thesis).
Ravera, C. (2021). Digitalization of KPI evaluation with the Microsoft Power Platforms: case study in Tetra Pak.
Pereira, A., & Poupa, C. (2018). Linguagens Web (5ª ed.). Lisboa: FCA.
Martins, R., Caldeira, F., Sa, F., Abbasi, M., & Martins, P. (2020, October). Na overview on how to develop a low-code application using OutSystems. In 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (pp. 395-401). IEEE.
Laudon, C., & Laudon, J. (2019). Management Information Systems: Managing the Digital Firm - Global Edition (16th Edition). London: Pearson.
Loukides, M. (2012). What is DevOps?. " O'Reilly Media, Inc.".
Kudyba, S. (2020). COVID-19 and the Acceleration of Digital Transformation and the Future of Work. Information Systems Management, 37(4), 284-287.
Gupta, S. (2018). Driving digital strategy: A guide to reimagining your business. Harvard Business Press.
Bounfour, A. (2016). Digital futures, digital transformation. Progress in IS. Cham. Springer International Publishing, doi, 10, 978-3.
Bhattacharyya, S. S., & Kumar, S. (2021). Study of deployment of ?low code no code? applications toward improving digitization of supply chain management. Journal of Science and Technology Policy Management.
Bass, L., Weber, I., & Zhu, L. (2015). DevOps: A software architect?s perspective. Addison-Wesley Professional.
Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2019). Internet of Things applications: A systematic review. Computer Networks, 148, 241-261.
Arunachalam, M., Sanghavi, V., Kaira, S., & Ahuja, N. A. (2022). End-to-End Industrial IoT: Software Optimization and Acceleration. IEEE Internet of Things Magazine, 5(1), 48-53.
Quantitative Techniques for Data Analysis
LG1. Review of key concepts of descriptive statistics.
LG2. Apply the main techniques of statistical inference.
LG3. Use statistical techniques of multivariate analysis.
LG4. Use of the software IBM SPSS Statistics to perform statistical analysis.
LG5. Develop oral and written communication skills in the scope of quantitative data analysis.
P1. Review of descriptive statistics with IBM SPSS Statistics.
P2. Topics about the importance of statistical inference for decision making.
P3. Descriptive techniques of multivariate data.
P4. Predictive techniques of multivariate data for regression analysis.
P5. IBM SPSS Statistics applications.
The assessment for the course may be done throughout the semester or by a final exam.
The assessment throughout the semester includes:
a) One written individual test with 60% weight;
b) A teamwork with 40% weight.
The approval for this course is obtained if the students get a final average grade of 10, provided that they do not have a grade lower than 7.5 in the written test and a grade lower than 10 in the teamwork.
The assessment by exam consists of a written test, which accounts for 100% of the final grade. The exam is divided into two components: a theoretical-practical component (worth 60%) and a practical component conducted in the laboratory, (worth 40%). A student with an admissible grade in his/her teamwork may be exempt from the practical component of the final exam. In such cases, the grade from the teamwork will be considered as the 40% practical component of the final grade.
- Larose, D. & Larose, C. (2015). Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining), 2nd Edition, Wiley.
- Laureano, R. M. S.& Botelho, M.C. (2017). IBM SPSS Statistics: O Meu Manual de Consulta Rápida, 3ª Edição, Edições Sílabo.
- Laureano, R. M. S. (2013). Testes de Hipóteses com o SPSS: O meu Manual de Consulta Rápida, 2ª Edição, Lisboa: Edições Sílabo.
- Hair, J., Black, W., Babin, B. & Anderson, R. (2019). Multivariate data analysis (8 ed.). Cengage.
- Folhas de apoio às aulas elaboradas pelo docente.
- Santos, M. & Ramos, I. (2009). Business Intelligence: Tecnologias da Informação na Gestão de Conhecimento, 2ª Edição, FCA.
- Maroco, João (2018). Análise Estatística com o SPSS Statistics 25, 7ª Edição, Report Number.
- Field, A. (2009). Discovering Statistics Using SPSS, 3rd ed., London: Sage Publications.
- Doane, David P. & Seward, Lori E. (2008). Estatística Aplicada à Administração e à Economia, McGraw-Hill.
- Bowden, J. (2004). Writing a Report: How to Prepare, Write and Present Effective Reports, 7th Ed., UK: How To Books.
Quantitative Techniques for Data Analysis
LG1. Review of key concepts of descriptive statistics.
LG2. Apply the main techniques of statistical inference.
LG3. Use statistical techniques of multivariate analysis.
LG4. Use of the software IBM SPSS Statistics to perform statistical analysis.
LG5. Develop oral and written communication skills in the scope of quantitative data analysis.
P1. Review of descriptive statistics with IBM SPSS Statistics.
P2. Topics about the importance of statistical inference for decision making.
P3. Descriptive techniques of multivariate data.
P4. Predictive techniques of multivariate data for regression analysis.
P5. IBM SPSS Statistics applications.
The assessment for the course may be done throughout the semester or by a final exam.
The assessment throughout the semester includes:
a) One written individual test with 60% weight;
b) A teamwork with 40% weight.
The approval for this course is obtained if the students get a final average grade of 10, provided that they do not have a grade lower than 7.5 in the written test and a grade lower than 10 in the teamwork.
The assessment by exam consists of a written test, which accounts for 100% of the final grade. The exam is divided into two components: a theoretical-practical component (worth 60%) and a practical component conducted in the laboratory, (worth 40%). A student with an admissible grade in his/her teamwork may be exempt from the practical component of the final exam. In such cases, the grade from the teamwork will be considered as the 40% practical component of the final grade.
- Larose, D. & Larose, C. (2015). Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining), 2nd Edition, Wiley.
- Laureano, R. M. S.& Botelho, M.C. (2017). IBM SPSS Statistics: O Meu Manual de Consulta Rápida, 3ª Edição, Edições Sílabo.
- Laureano, R. M. S. (2013). Testes de Hipóteses com o SPSS: O meu Manual de Consulta Rápida, 2ª Edição, Lisboa: Edições Sílabo.
- Hair, J., Black, W., Babin, B. & Anderson, R. (2019). Multivariate data analysis (8 ed.). Cengage.
- Folhas de apoio às aulas elaboradas pelo docente.
- Santos, M. & Ramos, I. (2009). Business Intelligence: Tecnologias da Informação na Gestão de Conhecimento, 2ª Edição, FCA.
- Maroco, João (2018). Análise Estatística com o SPSS Statistics 25, 7ª Edição, Report Number.
- Field, A. (2009). Discovering Statistics Using SPSS, 3rd ed., London: Sage Publications.
- Doane, David P. & Seward, Lori E. (2008). Estatística Aplicada à Administração e à Economia, McGraw-Hill.
- Bowden, J. (2004). Writing a Report: How to Prepare, Write and Present Effective Reports, 7th Ed., UK: How To Books.
Applied Informatics
With this curricular unit the students should be able to:
1. Describe the variables and the formulas needed to construct a calculation model or business model;
2. Use basic features of a spreadsheet;
3. Use functions for building models in a spreadsheet;
4. Construct advanced models applied to management and economics in a spreadsheet;
5. Compute automatic procedures with the use of VBA and Python for Excel.
The main issues to be addressed are:
1. Introduction and development of spreadsheets
2. Construction of models in spreadsheets
3. Databases, information search and extraction, import
4. Introduction to Visual Basic for Applications and Python
Assessment throughout the semester:
- Group work (50%) - A project made by a group of students, mid-term. Mandatory, with a minimum score of 10 (out of 20).
- Individual Test (50%) - Written test, mid-term, scheduled to be online, via e-learning and supported by Zoom. Mandatory, with a minimum score of 7 (out of 20).
Final exam:
Individual written exam, without consultation, encompassing the entire syllabus. The final exam is taken - in season 1, 2 or special - by students who have not successfully completed the assessment throughout the semester, with an average score of 10 or more (out of 20).
- Alexander, Michael, Kusleika, Dick, & Walkenbach, John (2019). Excel ® 2019 Bible. Indiana: John Wiley & Sons, Inc. ISBN 978-111-951-478-7
- Lemonde, Carlos (2024). PYTHON com EXCEL – Automação e Análise de Dados. Lisboa: FCA. ISBN 978-972-722-936-9
- Peres, Paula (2014). Excel Avançado (3ª Edição). Lisboa: Sílabo.
- Dreher, Gil (2023). Excel 2023: The Must-Have Guide to Master Microsoft Excel - From Beginner to Pro in less than 7 Days - Step-by-step Formulas and Functions with Tutorials and Illustration, Gil Dreher, Author edition, ISBN 979-837-552-249-4.
- Maxwell, Daniel (2024). Excel 2024 Bible: A comprehensive step by step guide from Beginner to Expert. Unlock Simple Strategies to Boost Productivity, Save Time, and Excel in Your Career, ISBN 979-832-120-814-4.
- Monk, Ellen F.; Brady, Joseph A. & Mendelsohn, Emilio I. (2017). Problem-Solving Cases in Microsoft Access And Excel, 15th Edition, Course Technology, Cengage Learning, Boston, USA., ISBN 978-133-710-133-2.
- Price, Michael, & McGrath, Mike (2016). Excel 2016 in easy steps. Warwickshire: In Easy Steps Limited.
- Winston, Wayne L. (2019). Microsoft Excel 2019: Data Analysis and Business Modeling, 6th Edition, Pearson Education, USA, ISBN 978-150-930-588-9.
- Zumstein, Felix (2021). Python for Excel - A Modern Environment for Automation and Data Analysis. Boston, USA: O'Reilly Media, Inc. ISBN 978-149-208-100-5
Applied Informatics
With this curricular unit the students should be able to:
1. Describe the variables and the formulas needed to construct a calculation model or business model;
2. Use basic features of a spreadsheet;
3. Use functions for building models in a spreadsheet;
4. Construct advanced models applied to management and economics in a spreadsheet;
5. Compute automatic procedures with the use of VBA and Python for Excel.
The main issues to be addressed are:
1. Introduction and development of spreadsheets
2. Construction of models in spreadsheets
3. Databases, information search and extraction, import
4. Introduction to Visual Basic for Applications and Python
Assessment throughout the semester:
- Group work (50%) - A project made by a group of students, mid-term. Mandatory, with a minimum score of 10 (out of 20).
- Individual Test (50%) - Written test, mid-term, scheduled to be online, via e-learning and supported by Zoom. Mandatory, with a minimum score of 7 (out of 20).
Final exam:
Individual written exam, without consultation, encompassing the entire syllabus. The final exam is taken - in season 1, 2 or special - by students who have not successfully completed the assessment throughout the semester, with an average score of 10 or more (out of 20).
- Alexander, Michael, Kusleika, Dick, & Walkenbach, John (2019). Excel ® 2019 Bible. Indiana: John Wiley & Sons, Inc. ISBN 978-111-951-478-7
- Lemonde, Carlos (2024). PYTHON com EXCEL – Automação e Análise de Dados. Lisboa: FCA. ISBN 978-972-722-936-9
- Peres, Paula (2014). Excel Avançado (3ª Edição). Lisboa: Sílabo.
- Dreher, Gil (2023). Excel 2023: The Must-Have Guide to Master Microsoft Excel - From Beginner to Pro in less than 7 Days - Step-by-step Formulas and Functions with Tutorials and Illustration, Gil Dreher, Author edition, ISBN 979-837-552-249-4.
- Maxwell, Daniel (2024). Excel 2024 Bible: A comprehensive step by step guide from Beginner to Expert. Unlock Simple Strategies to Boost Productivity, Save Time, and Excel in Your Career, ISBN 979-832-120-814-4.
- Monk, Ellen F.; Brady, Joseph A. & Mendelsohn, Emilio I. (2017). Problem-Solving Cases in Microsoft Access And Excel, 15th Edition, Course Technology, Cengage Learning, Boston, USA., ISBN 978-133-710-133-2.
- Price, Michael, & McGrath, Mike (2016). Excel 2016 in easy steps. Warwickshire: In Easy Steps Limited.
- Winston, Wayne L. (2019). Microsoft Excel 2019: Data Analysis and Business Modeling, 6th Edition, Pearson Education, USA, ISBN 978-150-930-588-9.
- Zumstein, Felix (2021). Python for Excel - A Modern Environment for Automation and Data Analysis. Boston, USA: O'Reilly Media, Inc. ISBN 978-149-208-100-5
Knowledge and Information Society
Focus issues in learning objectives (OA) include acquiring knowledge in the following areas:
OA1. Understanding the challenges posed by digital networks in their technical, political and social complexity.
OA2. Identification of the impacts of technological means on digital divisions and full exercise of citizenship.
OA3. Critical thinking about the relationship between politics, ethics and the value of information;
OA4. Apprehension of the approach to information and knowledge as economic and organizational phenomena;
OA5. Understanding the institutional structure of information and knowledge management;
OA6. Understanding of the role of information professionals.
OA7. Identification of impacts and processes of change in the State and in public administration associated with the digital transformation.
The course is structured in twelve sessions related to specific themes or syllabus (CP) of the course Information and Knowledge Society, which can be divided into 3 parts:
Part 1 ? Digital transformation and social change
CP1. Theories of the Information and Knowledge Society;
CP2 The digital divide from a national, European and global perspective;
CP3. The Data Age: Big Data, Internet of Things and Ethical Challenges;
Part 2 - Information and Communication Technologies, political processes and citizenship
CP4 ICT, democracy and citizenship;
CP5. E-governance and governance models in a comparative perspective;
Part 3 ? Digital transformation in the State and public administration
CP6. Information and Communication Technologies in public administration;
CP7. Information, territory and smart cities;
CP8. Digital Technologies, Education, Labor Market and ?Gamification? in organizations;
CP9. Information and health;
CP10. State, Surveillance and Cybersecurity.
In the evaluation modalities, we have the following alternatives:
1) Continuous Assessment:
- Individual work that consists of the critical review (50%) of a text;
- Written work, individual or in group, accompanied by a presentation in class (40%). The final work must be delivered at the end of the semester at the times defined for this purpose in the institution's norms. Research capacity, originality and innovation will weigh in the evaluation. The working time is estimated at around 20 hours of bibliographic and/or field research;
- Participation/attendance (10%). Continuous assessment requires a minimum attendance, which cannot be less than 2/3 of the classes actually taught.
The weighted average of the grades of the evaluation elements being greater than or equal to 10 values, will exempt the student from the final exam.
2) Students who do not opt for continuous assessment or who do not succeed in it, can take the final exam (100% of the grade) at the times foreseen for this purpose.
Yera, A., Arbelaitz, O., Jauregui, O., & Muguerza, J. (2020). Characterization of e-Government adoption in Europe. PloS one, 15(4), e0231585.
Webster, F. (2014). Theories of the information society. Londres, Routledge.
Van Dijk, J. (2020). The digital divide. John Wiley & Sons.
Cardoso, G., da Costa, A. F., Coelho, A. R., & Pereira, A. (2015). A sociedade em rede em Portugal: uma década de transição. Coimbra: Almedina.
Castells, M.; Cardoso, G. (2005) A Sociedade em Rede: do Conhecimento à Acção Política, Lisboa, INCM.
Cardoso, G., & Lapa, T. (2006). ?Alt-Tab?: From ICTs to organisational innovation in Portugal. In E-government in Europe (pp. 180-198). Routledge.
Wessel, R. A. (2019). Cybersecurity in the European Union: Resilience through regulation. In The Routledge Handbook of European Security Law and Policy (pp. 283-300). Routledge.
Nunes, P. (2012). A definição de uma estratégia nacional de cibersegurança. Nação e defesa, 133(5), 113-127.
Granja, R. (2021). As implicações invisibilizadas do tecno-otimismo da vigilância eletrónica em Portugal. Comunicação e sociedade, (40), 247-247.
Correia, P. M. A. R., da Silva Santos, S. I., & de Faria Bilhim, J. A. (2017). Proposta de modelo explicativo das perceções sobre gestão e políticas públicas em matéria de cibersegurança e cibercrime. Sociologia: Revista da Faculdade de Letras da Universidade do Porto, 33.
Caldas, A., & Freire, V. (2013). Cibersegurança: das preocupações à ação. Instituto da Defesa Nacional.
10. Estado, Vigilância e Cibersegurança.
Ribeiro, J. M. (2019). Saúde Digital: um sistema de saúde para o século XXI. Fundação Francisco Manuel dos Santos.
Mair, F. S., May, C., Finch, T., Murray, E., Anderson, G., Sullivan, F., ... & Epstein, O. (2007). Understanding the implementation and integration of e-health services. Journal of telemedicine and telecare, 13(1_suppl), 36-37.
Celuppi, I. C., Lima, G. D. S., Rossi, E., Wazlawick, R. S., & Dalmarco, E. M. (2021). Uma análise sobre o desenvolvimento de tecnologias digitais em saúde para o enfrentamento da COVID-19 no Brasil e no mundo. Cadernos de Saúde Pública, 37.
Bol, N., Helberger, N., & Weert, J. C. (2018). Differences in mobile health app use: a source of new digital inequalities?. The Information Society, 34(3), 183-193.
9. Informação e saúde
Stoera, S. R., & Magalhães, A. M. (2004). Education, knowledge and the network society. Globalisation, Societies and Education, 2(3), 319-335.
Meira, M. (2019). A difícil relação entre burocracia eletrónica e democracia na administração educativa em Portugal. Educação & Sociedade, 40.
Means, A. J. (2019). Education for a post-work future: Automation, precarity, and stagnation. In Education and Technological Unemployment (pp. 245-262). Springer, Singapore.
da Silva, L. V. (2020). Tecnologias digitais de informação e comunicação na educação: três perspectivas possíveis. Revista de Estudos Universitários-REU, 46(1), 143-159.
Coutinho, C. P., & Lisbôa, E. S. (2011). Sociedade da informação, do conhecimento e da aprendizagem: desafios para educação no século XXI. Revista de Educação, Vol. XVIII, nº 1, 5 - 22
Contreras-Espinosa, R. S., & Blanco-M, A. (2021). A Literature Review of E-government Services with Gamification Elements. International Journal of Public Administration, 1-17.
8. Tecnologias digitais, Educação, Mercado de Trabalho e ?Gamificação? nas organizações
Matos, A., Pinto, B., Barros, F., Martins, S., Martins, J., & Au-Yong-Oliveira, M. (2019, April). Smart cities and smart tourism: What future do they bring?. In World conference on information systems and technologies (pp. 358-370). Springer, Cham.
Luque-Ayala, A., & Neves Maia, F. (2019). Digital territories: Google maps as a political technique in the re-making of urban informality. Environment and Planning D: Society and space, 37(3), 449-467.
Kolotouchkina, O., Barroso, C. L., & Sánchez, J. L. M. (2022). Smart cities, the digital divide, and people with disabilities. Cities, 123, 103613.
Alves, M. A., Dias, R. C., & Seixas, P. C. (2019). Smart Cities no Brasil e em Portugal: o estado da arte. urbe. Revista Brasileira de Gestão Urbana, 11.
7. Informação, território e smart cities
Ramos, C. M. (2021). Transformação digital: Efeitos na educação, comércio e sustentabilidade ambiental. Revista Ibérica de Sistemas e Tecnologias de Informação, (44), 1-4.
Homburg, V. (2008). Understanding e-government: Information systems in public administration. Routledge.
de Barros Júnior, J. M., Santa Rita, L. P., & Vieira da Silva, W. (2022). Transformação Digital na Administração Pública Brasileira: Uma Revisão Sistemática de Literatura. Revista FSA, 19(5).
Alves, D. R., & Stoffel, A. C. A. (2022). O digital como prioridade da Comissão Europeia: Breve análise sobre a transformação digital no âmbito da União Europeia.
6. As Tecnologias da Informação e Comunicação na administração pública
Tomura, N., Uehara, S., Kaneta, K., Hara, R., Sasaki, R., Tsuchida, M., ... & Yamashita, M. (2021). Construction of The E-Government: Case Study of Japan and Estonia. International Journal for Applied Information Management, 1(3), 145-151.
Nishimura, A. Z. D. F. C., Au-Yong-Oliveira, M., & Walter, C. E. (2021). Uma avaliação do Governo Eletrónico em Portugal sob a Ótica dos Utilizadores. Revista Ibérica de Sistemas e Tecnologias de Informação, E41, 585-603
European eGovernment Benchmark (2020). European eGovernment Benchmark 2020. Comissão Europeia.
Dias, R. C., & Gomes, M. A. S. (2021). Do Governo Eletrónico à Governança Digital: Modelos e Estratégias de Governo Transformacional. Public Sciences & Policies, 7(1), 93-117.
Castells, M.; Himanen, P. (2007) A Sociedade da Informação e o Estado-Providência. O Modelo Finlandês, Lisboa, Fundação Calouste Gulbenkian.
5. Modelos de governação e governança eletrónica numa perspetiva comparada;
Twizeyimana, J. D., & Andersson, A. (2019). The public value of E-Government. A literature review. Government information quarterly, 36(2), 167-178.
Montargil, F. (2008). O desenvolvimento da democracia electrónica em Portugal. O desenvolvimento da democracia electrónica em Portugal.
Hassan, R. (2004). Media, politics and the network society. McGraw-Hill Education (UK).
Bang, H., & Esmark, A. (2009). Good governance in network society: Reconfiguring the political from politics to policy. Administrative Theory & Praxis, 31(1), 7-37.
4. TIC, democracia e cidadania;
Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. Sage.
Dias, G. A., & Vieira, A. A. N. (2013). Big data: questões éticas e legais emergentes. Ciência da Informação, 42(2).
de Mendonça, C. M. C., & de Andrade, A. M. V. (2019). Uso da IoT, Big Data e Inteligência Artificial nas capacidades dinâmicas: um estudo comparativo entre cidades do Brasil e de Portugal. Informação & Sociedade: Estudos, 29(4), 37-60.
Connected Living. (2014). Understanding the Internet of Things (Io). GSM Association.
3. A era dos dados: Big data, internet das coisas e desafios éticos
Silva, P., Matos, A. D., & Martinez-Pecino, R. (2021). O papel da família na utilização da Internet por portugueses de 50 e mais anos. Análise Social, 56(2 (239), 322-341.
Litchfield, I., Shukla, D., & Greenfield, S. (2021). Impact of COVID-19 on the digital divide: a rapid review. BMJ open, 11(10), e053440.
Lapa, T., & Vieira, J. (2019). Divisões digitais em Portugal e na Europa: Portugal ainda à procura do comboio europeu?. Sociologia Online, (21), 62-82.
2. O fosso digital numa perspetiva nacional, europeia e global
Touraine, A. (2018). Post-Industrial Classes. In Rethinking the Subject (pp. 181-192). Routledge.
Masuda, Y. (1981). The information society as post-industrial society. World Future Society.
Martin, W. J. (2017). The global information society. Taylor & Francis.
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1. Teorias da Sociedade da Informação e do Conhecimento
Project Seminary in Applied Informatics
With this curricular unit the student should develop a scientific project, being able to:
1. Understand the scope and degree of a project.
2. Reveal originality and an independent scientific thinking.
3. Demonstrate scientific reasoning and logic consistence.
4. Know how to structure the project.
5. Define, contextualize and justify the research thematic.
6. Propose a method or methodology.
7. Present a brief bibliographic review.
8. Show accuracy, clarity and objectivity in drafting the work.
The main issues to be addressed are:
1. Distinction between pre-project and a project.
2. Fundamentals of an investigation and methodological options.
3. Formal presentation of a pre-project.
4. Important aspects in the development of scientific projects.
5. Discussion of the pre-projects presented by the students.
6. Tutorial and individual orientation, supporting each student in the development of his project.
7. Discussion of individual projects, criticisms and suggestions.
- Presentation and discussion of the pre-project already developed in Introduction to Scientific Research, with the classmates and professor (20%)
- Individual written work (80%). Scientific project, with a maximum of fifteen pages, in a format that will be specified in detail - including abstract, keywords, index, introduction, objectives, brief theoretical framework, method (description of research, SI or implementation) and basic bibliography.
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