- Details
- Category: Discipline
- Fonseca, Manuel J., Campos Pedro, Gonçalves Daniel, Introdução ao Design de Interfaces, 3aEdição, FCA - Editora de Informática 2017 Nielsen, Jakob; Budiu, Radiuca, Usabilidade móvel, Elsevier, Editora Campus 2014 Nielsen, Jakob; Loranger, Hoa , Usabilidade na Web 2007, Elsevier, Editora Campus 2007 Norman, D., The Design of Everyday Things, Basic Books, 2002. ISBN: 978-0465050659 Shneiderman, B., Plaisant, C., Designing the User Interface - Strategies for Effective Human-Computer Interaction, Addison Wesley, 2004. ISBN: 9780134380384
- Development for the Web and Mobile Devices
- 2010
- 22352
- Interfaces and Usability
- ISLA Gaia2010-22352
- 1
- 3
- 0
- 27
- Não
- Português
- Use of active methodologies, namely: Case Studies; Problem-Based Learning; Design Thinking; Collaborative and co-operative work.
- Mandatory
- The curricular unit Interface & Usability has as main objective to pass on knowledge to students so that they get to know the various philosophies, used over time in the design of interfaces: The complex machine whose language the human being has to learn to be able to use it; The machine designed for a good user experience, where the user is in control. In practice and, applying theoretical knowledge to a project, students should achieve the ability to create objects (in information technologies) that improve the way people work, communicate and interact with resources to information system artifacts.
- The importance of HMI Humans vs Computers: systems Perception; Memory; Cognitive Processes and Models; Devices and interaction styles; Usability concepts and requirements Analysing users and tasks Conceptual Interaction Model Interface Design Principles: Norman design principles; Shneiderman golden rules; Nielsen heuristics; Interface design and prototyping platforms: advantages/disadvantages. Introduction to Adobe XD, Axure RP and UXPin platforms. Screen design: principles of graphic design; use of colour; typography; screen resolution and density; writing messages for the user; division of tasks by screen; Applied Design: Sources of Information and Data Collection UX - User Experience. Interfaces for mobile devices: types of mobile devices and specific features; Interaction: mobile devices; Designing web interfaces: layout; content; navigation; portability; accessibility; web design standards Prototyping: characteristics and types of prototypes
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
40%
Trabalho Prático 2
60%
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
- Semestral
- Explore the graphical interfaces applied to interactive narratives, progressing to the human-machine interfaces supporting ubiquitous interaction, ending with the physical interfaces exploring multisensory methods and technologies in order to provide an immersive user experience.
- Details
- Category: Discipline
- Código do IVA Código Aduaneiro da União Legislação diversa Rocha, Isabel; Rocha, Joaquim Freitas (2022) - Códigos Tributários e Legislação Conexa (43ª ed.). Porto Editora
- Finance and Taxation
- 6806
- 25290
- Consumption taxes
- ISLA Gaia6806-25290
- 1
- 6
- 0
- 27
- Não
- Português
- Theorical exposure (lecture method and interrogative) and case discussions by students, with cases examples and research problems (an active and participatory).
- Mandatory
- Through a practical approach to the fundamental aspects of consumption taxes - which for systematic reasons will also cover Customs Duties and other impositions - such as the rules of incidence and obligations of taxable persons, based on the CJEU caselaw (given the EU harmonization in these matters), it is intended that the trainees acquire knowledge and skills that allow them to: - Analyse the structural elements of VAT, Excise and Customs Duties and other impositions in a practical way, through an adequate technical introduction to the selected topics. - Identify the most relevant topics using EU legislation and caselaw. - Start to consider the relevance of indirect taxation in the various sectors and moments of business activity, such as in the preparation of supply contracts, construction of infrastructure or selection of markets.
- 1. Generic VAT module 1.1. Guiding principles of VAT 1.2. Taxable operations and taxable persons 1.3. Place of taxation of goods and services 1.4. Chargeable event and chargeability 1.5. Taxable amount 1.6 Rates 1.7. Exemptions 1.8. Deduction 1.9. Hybrid taxable persons 1.10. Adjustments and recovery 1.11. Reporting obligations 2. Specific Modules 2.1. Operations out of VAT scope 2.2. Subsidies 2.3. Indemnities 2.4. Public sector 2.5. Non-profitable organizations 2.6. Financial operations 2.7. Real estate 2.8. Special schemes 3. Excise duties Module 4. Customs Duties Module 5. Other indirect taxation module
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
dd-mm-yyyy
100%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
- Semestral
- UC dedicated to the study of indirect taxation, whose weight and complexity in the national tax system are increasingly relevant.
- Details
- Category: Discipline
- Oliveira, A. (2019). Inteligência Artificial. Ensaios da Fundação, Edição 2019, ISBN: 9789898943309, Fundação Francisco Manuel dos Santos. Costa, E., Simões, A. (2008). Inteligência Artificial – Fundamentos e Aplicações, 2ª Ed. At. e Aum., Edição 2008, ISBN: 978-972-722-340-4, Editora: FCA. Russell R. & Norvig P. (2010) Artificial Intelligence: A Modern Approach. Third Edition, Prentice Hall. Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann. Mitchell, M. (1998). An introduction to genetic algorithms. MIT press, 1998. Michalewicz, Z. (1996). Genetic Algorithms + data Structures = Evolution Programs, 3rd edition, Springer Verlag, ISBN 3540606769, 1996.
- Technology and Web Systems Engineering
- 6158
- 2129
- Artificial Intelligence
- ISLA Gaia6158-2129
- 1
- 6
- 0
- 27
- Não
- Português
- The Artificial Intelligence CU will use active, student-centred methodologies, with an emphasis on project-based learning applied to real datasets and the use of open source tools. Flipped classroom logic, collaborative work in pairs/groups and the use of digital platforms (Moodle, forums) will be combined to provide frequent feedback and develop autonomy and critical thinking.
- Mandatory
- It is intended to transmit to students the principles and characteristics of Artificial Intelligence and respectively Machine Learning, highlighting Search, Knowledge Representation and Reasoning, Planning and Machine Learning. The concept of Artificial Intelligence with Machine Learning is introduced. The essential foundations of artificial intelligence in the domains of machine learning and data science. Machine Learning: supervised algorithms and unsupervised algorithms.
- 1.Introduction to Artificial Intelligence: motivation, benefits and the type of problems you want to solve. 2.Artificial Intelligence in Data Science. 3.Artificial Intelligence - Technologies that enable the operation. 4.Machine Learning – Learning Process. 5.Types of Machine Learning. 6.Machine Learning – Typologies of Algorithms. 6.1.Supervised Algorithms. 6.2.Unsupervised algorithms. 7. Development and implementation of machine learning algorithms.
Instrumentos de avaliação:
Descrição
Data limite
Ponderação
Teste de avaliação
08-01-2026
50%
Trabalho prático
11-12-2025
50%
- Semestral
- The Artificial Intelligence (AI) course (6 ECTS) introduces students to the fundamental concepts of AI and Machine Learning, placing them in the context of Data Science. Throughout the course, the following topics are covered: types of AI problems, enabling technologies, the ML learning process, as well as supervised and unsupervised algorithms and their practical application with appropriate tools. The methodology combines lectures with demonstrations and practical exercises. Continuous assessment includes one written test (50%) and one practical assignment with a report and presentation (50%), with the option of a final exam at the appropriate time.
- Details
- Category: Discipline
- Business Management
- 1206
- 194
- Statistics
- ISLA Gaia1206-194
- 2
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- CARVALHO, Adelaide, Algoritmia e Programação Estruturada, FCA, 2010 CARVALHO, Adelaide, Práticas de C# - Algoritmia e Programação Estruturada, FCA, 2010 CORMEN, Thomas, Algortimos, Teoria e prática,Editora Campus COSTA, Ernesto, Programação em Python - Fundamentos e Resolução de Problemas, FCA, 2015 MAGRI, João Alexandre, Lógica de Programação, Editora Erica, 2003 MOREIRA, José Joaquim, eBook Estrutura de Dados e Algoritmia I, ISLA-Gaia, 2007 VASCONCELOS, José Braga, Algoritmia e Estruturas de Dados, Centro Atlântico, 2005
- IT for eCommerce
- 6616
- 7337
- Programming Fundamentals
- ISLA Gaia6616-7337
- 1
- 6
- 0
- 27
- Não
- Português
- The theoretical exposition of the subject using the lecture method, interrogative and interactive, are complemented with immediate practical application through exercises and practical work. Thus, each topic studied is reinforced through practical exercises. Therefore, the methodology used is Problem-based learning (PBL).
- Mandatory
- Design automatic problem solving using computers. Apply the downward approach and structured programming. Apply the main elementary ordering and search algorithms. Apply data structures. Use a programming language
- Concepts Computing concepts Problem analysis Logical representation of process Downward and modular Approach methodology Structured programming methodology and programming style Algorithms and problem modeling Programming languages and paradigms Algorithms and data structures Algorithmic Representation Languages Data structures Data Structure Concepts Simple data: Numeric, Boolean, Alphanumeric, etc... Identifiers, Variables, Constants, Operations and Expressions Assigning, reading and writing data Control and Repetition Structures Modularization Proof and Test Ordering and Research Structures and files Programming Languages Procedural versus Object-Oriented Methodology Python language Structure Operators Roles Libraries
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação teórico-prático
20-11-2024
40%
Teste de avaliação prático
20-01-2026
60%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
- Semestral
- Design automatic problem solving using computers. Apply the downward approach and structured programming. Apply the main elementary ordering and search algorithms. Apply data structures. Use a programming language.
