- Details
- Category: Discipline
- Arpaci-Dusseau, R. H., & Arpaci-Dusseau, A. C. (2020). Operating systems: Three easy pieces. CreateSpace. Frye, C. D. (2019). Microsoft excel step by step. Microsoft Press. Lambert, J., & Cox, J. (2023). Microsoft Office step by step (Office 2021 e Microsoft 365). Microsoft Press. Marinescu, D. (2018). Cloud Computing - Theory and Practice. Morgan Kaufmann.
- Data and Technology Management in Health
- 7055
- 18
- Information Technologies
- ISLA Santarém7055-18
- 1
- 5
- 0
- 25
- Não
- Português
- 1. Theoretical/practical classes with exposure of concepts and discussion of syllabus. Use of interrogative methods to consolidate knowledge (through application exercises). Face to face: 2. Laboratory practice: Solving exercises either in an intranet environment or using cloud computing resources. 3. Simulated practice. Use of AI-based platforms to design content. Autonomous: 4: Consolidation of the content taught in class through research for additional information on the different topics covered and development of additional work.
- Mandatory
- O1. Acquire knowledge about the components of a computing system from a manager and user perspective. O2. Discuss the different types of software (system and application). O3. Present the fundamental principles of computer networks and the internet. O4. Provide fundamental knowledge for the correct use of IT productivity tools in the context of your personal and professional activities. O5. Present and use AI-based tools to support the design of digital content. Competences: C1. Select the most appropriate computer systems and applications for each situation and use them efficiently and productively. C2. Use cloud productivity and storage and computing platforms. C3. Use AI-based tools to design and produce digital content.
- 1. Basic concepts of Information Technology 2. History of Computing and Technological Evolution 3. Components of a Computing System 4. System and application software 5. Computer Networks and Internet 6. Productivity and storage platform (Google Drive) 7. Productivity tool in a collaborative environment. 8. Design and production of digital content using AI-based tools.
A média desta UC será obtida por meio de 3 elementos distintos cuja participação neles é obrigatória (Portfolio, Trabalho e Teste de Avaliação). Assim, os alunos deverão participar nos 3 tipos de elementos avaliativos para computar sua média final.
Descrição
Data limite
Ponderação
Teste de avaliação
Ver Moodle
40%
Portfolio
Ver Moodle
30%
Trabalho
Ver Moodle
30%
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
- The Information Technologies curricular unit focuses on equipping students with the skills to effectively use digital technologies through a practical approach that includes the use of operating systems, productivity tools, and cloud computing platforms. The curricular unit covers the use of software and hardware from the perspective of both user and manager, addressing everything from operating system management to the application of collaborative tools and cloud computing solutions. This curricular unit is essential for any study program that aims to train professionals capable of operating in a digital and technological environment, especially in management, marketing, informatics, and other fields where technological efficiency is crucial. Its relevance lies in the need to equip students with digital skills that are increasingly demanded by the job market, promoting digital literacy and the ability to adapt to new technological tools.
- Details
- Category: Discipline
- Information Technology Management (ISLA Santarém)
- 1215
- 26513
- Applied Project/Internship
- ISLA Santarém1215-26513
- 3
- 13
- 1393
- 25
- Sim
- Português
- Semestral
- Details
- Category: Discipline
- Cooper, A., Reimann, R., Cronnin, D., Noessel, C., Csizmadi, J., & LeMoine, D. (2014). About Face (4th Editio). John Wiley & Sons. Inc. Krug, S. (2014). Don´t Make Me Think, Revisited A Common Sense Approach to Web Usability (Third Edit). New Riders. Nudelman, Greg (2025). Ux For Ai: A Framework For Designing Ai-Driven Products. Wiley & Sons, Incorporated Sharp, H. (2023). Interaction Design: Beyond Human-Computer Interaction (Fourth). John Wiley & Sons, Ltd. Shaffer, D. (2011). Designing for interaction (Second). Berkley, California: New Riders. Interaction Design Foundation (2025). The Encyclopedia of Human-Computer Interaction, 2nd Ed.. https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed
- Web Systems and Technology Engineering
- 6159
- 11133
- Interaction Design
- ISLA Santarém6159-11133
- 1
- 6
- 0
- 25
- Não
- Português
- The applied methodology is an expository methodology, in the theoretical contents and laboratory practice in the contents of practical application.
- Mandatory
- - Introduce the human factors involved in interaction and interface design; -Present the fundamental concepts for understanding the interaction between humans and computing systems; -Develop the ability to create interaction and interface design proposals for specific use contexts, aiming to optimize the user experience; -Develop the ability to evaluate usability by mastering various techniques and their contextual suitability; -Develop the ability to build innovative interfaces that are consistent with their purpose. By the end of this course, students will be able to: -Apply prototyping techniques to research and test design proposals; Evaluate usability using a variety of techniques appropriate to the project's context; -Build innovative interfaces that are coherent with their intended purpose; Systematically combine these techniques into an empirical approach to interaction design
- 1. A Brief History of Human-Computer Interaction (HCI) 1.1. Models of Human Performance 1.2. Cognitive, Activity, and Situated Action Theories 2. Modeling Users and Tasks 3. Engineering Interaction Contexts Through Media Design 4. Prototyping and Its Role in Interaction Design 5. Usability and User Experience (UX) 5.1. Evaluation Models and Techniques 5.2. Observation and Analysis Techniques 6. The Aesthetics of Interaction in Interface Design 7. Information Visualization and Sonification 7.1. Elements of Visual and Sound Design 7.2. Adapting Design to Devices and Contexts of Use 7.3. Interfaces for Mobile Scenarios 8. Interface Architectures and Techniques: From Linguistic Interfaces to GUI, TUI, and NUI
Metodologia de avaliação contínua:
- Trabalho prático: 40%;
- Teste final prático; 60%;
Todos os estudantes que não tenham concluído com sucesso a avaliação podem realizar um exame final prático na época de avaliação definida pela instituição.
- Semestral
- Interaction Design is the area of Design whose main objective is to improve the relationship between the user and the object/product, through the study, planning and application of interaction, in physical and digital systems. The applications of Interaction Design are varied, and act both at the physical, cognitive and emotional levels of the user's experience with the product. Knowledge of the principles of interaction and their application to the development of different supports allows students to create functional, appealing and understandable systems for the user.
- Details
- Category: Discipline
- Irv Englander (2000). The Architecture of Computer Hardware and Systems Software. John Wiley & Sons, Inc. Ritch Robinson, Windows 7 – Guia de Bolso, Mintywhite.com. Siberschatz, M. Galvin, P. (2005). Fundamentos de Sistemas operativos. McGraw Hill. Nunes, S. & Trezentos, P. (2008). Linux para Pcs – Caixa Mágica. FCA, Editora de Informática.
- Information Systems Technology and Programming
- 2045
- 6305
- Operating Systems
- ISLA Santarém2045-6305
- 1
- 5
- 0
- 25
- Não
- Português
- The course employs a combination of lecture-based instruction, guided inquiry, and active learning strategies to encourage classroom discussion and the resolution of both theoretical and practical exercises. Strong emphasis is placed on hands-on practice through the use of virtual machines for the installation and configuration of operating systems. In addition, the course incorporates problem-based learning (PBL), project-based learning, case-based analysis, and peer-to-peer discussions to promote critical thinking and collaborative learning.
- Mandatory
- Learning Objectives Upon successful completion of this course, students will be able to: Define and explain the concept of an operating system. Identify and describe the main functions of an operating system. Analyze the historical evolution of operating systems. Differentiate between the various types of operating systems. Explain the architecture and characteristics of multiprocessor systems. Understand and apply concepts of synchronization and scheduling. Describe the principles and features of distributed systems. Assess user requirements and select the most appropriate client operating system. Install and configure client operating systems. Install and distinguish between resident and installable device drivers. Configure client operating systems according to specific needs. Install and manage the different components of an operating system.
- 1. Operating System Theory Functions and characteristics of an operating system Concurrent processes The operating system kernel Memory management Input and output management File system Resource management Protection Reliability The concept of multitasking Information sharing and inter-computer communication 2. Types and Roles of Operating Systems Concepts of proprietary software, free software, GNU, and GPL Linux vs. Microsoft 3. Client Operating Systems Proprietary client operating systems Open-source client operating systems 4. Installation and Configuration of Operating Systems (Proprietary and Open Source) Disk partitioning and formatting Installation options Resource optimization Device and driver installation System configuration according to specific hardware Multiple system configurations Troubleshooting Application installation
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
50%
Portfolio
50%
- Semestral
- .
- Details
- Category: Discipline
- Punch and Enbody R. (2021). The Practice of Computing using Python, 3rd. Ed., Pearson. Menezes, N. (2019). Introdução à Programação com Python: Algoritmos e Lógica de Programação. Novatec. Carvalho, A. (2021). Práticas de Python - algoritmia e programação. FCA. Guttag, J. V. (2021). Introduction to computation and programming using Python. 3rd edition. MIT Press.
- Data and Technology Management in Health
- 7055
- 7337
- Programming Fundamentals
- ISLA Santarém7055-7337
- 1
- 6
- 0
- 25
- Não
- Português
- Synchronous distance learning: 1. Expository, interrogative and interactive methods: Presentation/exposition of concepts using the expository, interrogative and interactive method. All pedagogical support elements are available through the Moodle platform. Face to face: 2. Active methodologies: Practical application through exercises and work in the classroom context. Autonomous: 3. Reading the recommended bibliography. Resolution of practical exercises that have not been resolved during practical classes and others proposed by the teacher. The teacher provides feedback (Tutorial Guidance – OT) on the results obtained by the student in solving the proposed problems, in person in a classroom context or remotely in asynchronous mode via the Moodle platform.
- Mandatory
- O1. Present the fundamental concepts of programming. O2. Develop logical reasoning skills. O3. Use basic search and sorting algorithms. O4. Use data structures available in modern programming languages. Skills: C1. Solve problems using current mechanisms in functional and procedural programming. C2. Develop, test and correct small/medium-sized programs in a modern programming language (Python).
- 1.Concepts 1.1 Computing. Problem analysis. Logical representation of the process. 1.2 Top-down and modular approach methodology. 1.3 Structured programming methodology and programming style. 1.4 Algorithms and problem modeling. 1.5 Programming languages and paradigms. Phases of developing an application. 2.Algorithms and data structures. 2.1 Algorithmic representation languages. 2.2 Data structures. 2.3 Simple data. Complex data. 2.4 Algorithmic Notation. Identifiers, Variables, Constants, Operations and Expressions. Assigning, reading and writing data. 2.5 Control and Repetition Structures. Modularization. Proof and Test. Sorting and Search. 2.6 Structures and files 3. Execution of algorithms in the Algorithmi application 4.Python language 4.1 Structure. 4.2 Operators. 4.3 Functions. 4.4 Libraries. 5. Implementation of algorithms and data structures in Python.
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
06-01-2026
45%
Trabalho de Grupo
20-01-2026
35%
Mini Trabalhos
Ao longo do semestre
20%
O momento de avaliação "Mini Trabalhos", será efetuado ao longo do semestre, sempre com aviso prévio (2 semanas). Prevê-se no minimo 3 mini trabalhos ao longo do ano e no máximo 5 mini trabalhos. Estes mini trabalhos serão predominantemente efetuados em aula. O último mini trabalho valerá 50% dos 20%.
- Semestral
- ..
