CIEL Camada de Integração Ensino Lusófona
  1. You are here:  
  2. Home
  3. Discipline

Data Knowledge Extraction

Details
Category: Discipline
  • Gama, J. et al, (2017). Extração de Conhecimento de Dados, Sílabo. Han J., Micheline K. e Jian P. (2022). Data Mining - concepts and techniques, elsevier science technology Kirk, Andy (2024). Data Visualisation: A Handbook for Data Driven Design. Sage Publications Ltd Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2025). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann. Sharda, Ramesh (2024). Business Intelligence, Analytics, Data Science, and Ai, Global Edition. Pearson Education Limited
  • Web Systems and Technology Engineering
  • 6159
  • 22491
  • Data Knowledge Extraction
  • ISLA Santarém6159-22491
  • 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
  • Intended learning outcomes (knowledge, skills and competences to be developed by the students). The objectives of the curricular unit are: -Identify the main techniques, methodologies and knowledge extraction tools from a high volume of data; -Present data mining techniques; -Present the learning models; -Present and use the tools (Data Wharehouse, OLAP, BI and Data mining). At the end of the course unit students should be able to: -Work with database techniques, statistics and machine learning. -Build decision support systems for today's large and medium enterprises. -Recognize the role and importance of data knowledge extraction in the broader context of building decision support systems in the information and knowledge society; -Apply knowledge extraction techniques from large data in real and experimental context.
  • 1. Introduction to Business Intelligence, Data Mining, CRISP-DM methodology 2. Data Warehouse and OLAP systems 3. Adaptive Business Intelligence 4. Forecasting and Optimization 5. Data Mining: classification, regression, segmentation 6. Learning Models (e.g., Decision Trees, Neural Networks)  7. Learning Statistics  8. Tools (Data Warehouses, OLAP, BI, Data Mining)  8.1. Data Warehouse - ETL Processes   8.2. Open Source Business Intelligence - OLAP Servers/Clients   8.3. Data Mining - Report Creation, Dashboards   8.4. Analysis of Open Source Business Intelligence Platforms   8.4.1. Pentaho Business Intelligence Server   8.4.2. SpagoBI 
  • Metodologia de avaliação - contínua:

    • Trabalho prático (Relatório e projeto); 60%;
    • Teste final teórico-prático; 40%;

     

    Todos os estudantes que não tenham concluído com sucesso a avaliação podem realizar um exame final teórico-prático na época de avaliação definida pela instituição.

  • Semestral
  • The extraction of knowledge, patterns or database trends is an essential element in the construction of decision support systems. It is an area closely linked to database techniques, statistics and machine learning. Some skills to acquire stand out: The importance in extracting data knowledge in the more general context of building decision support systems in the information and knowledge society; Identify some of the techniques, methodologies and tools of knowledge extraction from a high volume of data; Apply knowledge extraction techniques in experimental context.

Fundamentals and Design of Information Systems

Details
Category: Discipline
  • O´Neill, H. (2004). Fundamental do UML. FCA, Editora de Informática. Ambler, Scott W. (2005).The Elements of UML, Cambridge University Press. Lopes, Filomena, Morais, Paula e Carvalho, Armando (2009). Desenvolvimento de Sistemas de Informação. FCA, Editora de Informática.
  • Information Systems Technology and Programming
  • 2045
  • 15886
  • Fundamentals and Design of Information Systems
  • ISLA Santarém2045-15886
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  • The learning methodology will be based on problems/projects (Project Based Learning), integrating theoretical and practical concepts in the classroom. The curricular assessment consists of a written test on the theoretical component of the course and a group project. Each assessment element is weighted as follows: written test 50% and project 50%. The final assessment is guided by the same objectives and is based on an exam (100%) integrating the theoretical and practical components of the course.
  • Mandatory
  • O1:Define the fundamental concepts of an Information System. O2:Present systems analysis approaches and methodologies O3:Describe the analysis and design process using object orientation. O4:Develop analysis models using UML. O5:Build Use Case diagrams, Use Case specifications, Classes, Sequence and Collaboration, Activities, State, Physical.
  • C1. Background C1.1 Data vs Information C1.2 System concept C1.3 Systems analysis C1.4 Systems analysis approaches and methodologies C2. Structured analysis C2.1 Framework C2.2 Data flow diagram C2.3 Data dictionary C2.4 Process specification C3. Object-oriented analysis C3.1 Object orientation C3.2 Object-oriented design C3.3 Objects and classes C4. Modeling with UML C4.1 UML development C4.2 UML components C4.3 Modeling structure C4.4 Modeling behavior C4.5 Architecture modeling C5. Designing a system C5.1 Specifying requirements C5.2 Working with structured analysis C5.3 Working with object-oriented analysis
  • Os instrumentos de avaliação são uma frequência e um projeto. No projeto engloba um produto entregue no moodle que será analisado pelo docente e uma apresentação e entrega. As datas para a realização e entrega dos mesmos são disponibilizadas no moodle.

    Descrição

    Data limite

    Ponderação

    Frequência

    dd-mm-yyyy

    50%

    Projeto

    dd-mm-yyyy

    50%

    Exame

    dd-mm-yyyy

    100%

    Nota: Individual e ** em grupo. 

     

  • Semestral
  • .

Fundamentals of Health

Details
Category: Discipline
  • Loureiro, I.; Miranda, N. (2018) Promover a saúde. Dos fundamentos à ação. Coimbra: 3ª edição. Almedina, World Health Organization. (2023). Health Promotion Strategies. https://www.who.int/healthpromotion/strategies/en/ World Health Organization. (2017). Everybody's business: Strengthening health systems to improve health outcomes: WHO's framework for action. Geneva, Switzerland: World Health Organization.
  • Data and Technology Management in Health
  • 7055
  • 26682
  • Fundamentals of Health
  • ISLA Santarém7055-26682
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • MET 1. - Theoretical teaching: expository and interrogative methodology. MET 2 - Theoretical-practical teaching: expository, interrogative and active methodology
  • Mandatory
  • O1 - Know the concepts of global health, globalization and the assumptions of global health; O2 - Understand the main international health organizations, O3 - Identify the current threats to global health, O4 - Define strategies to address current threats to global health; O5 - Analyze current global health challenges ethically O6 - Know current and future trends in global health governance and their implications for the formulation of health policies and practices.
  • 1- General context; 1.1- Principles, definitions and structural areas of health 1.2- Assumptions of global health; 1.3. Health Systems 2 . International health organisations 2.1 - History and evolution of international health organisations 2.2 - Missions, organisational structures and functions of the main health organisations. 3 - Current and future challenges in global health 3.1 - Disease burden metrics: 3.2 - Analysis of the international context in the areas of disease burden and quality of life; 4 - Sustainable Development Goals: 4.1 Health as an essential element in the development of different countries and its determinants; 5- Evaluation of health programmes and policies 5.1 Methods for evaluating the impact and effectiveness of health interventions 5.2 Monitoring and evaluation of international health programmes
  • 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

    17-12-2025

    50%

    Trabalho + aula invertida

    14-01-2026

    20%+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 Health Fundamentals course introduces students to the general context of health, exploring its principles, definitions, structural areas and assumptions of global health, as well as the organisation and functioning of health systems. It analyses the history and evolution of international organisations, highlighting their missions, structures and functions in the coordination of global public health. It addresses current and future challenges, including the burden of disease and quality of life in different international contexts. It relates health to the Sustainable Development Goals, emphasising its central role in human development. Finally, it considers the evaluation of health programmes and policies through methods of measuring impact, effectiveness and monitoring of international interventions.

Law and Ethics in the Information Society

Details
Category: Discipline
  • Information Technology Management (ISLA Santarém)
  • 1215
  • 27878
  • Law and Ethics in the Information Society
  • ISLA Santarém1215-27878
  • 3
  • 4
  • 0
  • 25
  • Não
  • Português
  • Semestral

Information Systems Planning and Development

Details
Category: Discipline
  • Luftman, J., Ly, R., & Zadeh, H. S. (2023). Strategic alignment maturity model 2.0: Navigating business and IT alignment in the digital age. CRC Press. Henriques, T., (2019), Gestão de Sistemas de Informação - Pessoas, Equipas e Mudança Organizacional, Editora FCA. Cassidy, A. (2024). A practical guide to information systems strategic planning. Routledge. Ward, J., & Peppard, J. (2024). Strategic planning for information systems (3rd ed.). Wiley Jonathan, G., & Kuika Watat, J. (2024). Factors affecting digital transformation in organizations: A meta-analysis. Information & Management, 61(1), 103781.
  • Web Systems and Technology Engineering
  • 6159
  • 22492
  • Information Systems Planning and Development
  • ISLA Santarém6159-22492
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • The teaching methodology uses the exposure of each topic of the contents, then the practical application through exercises and works, since this curricular unit is essentially laboratory practice using mainly the methodology Problem Based Learning (PBL).
  • Mandatory
  • Allow students to obtain theoretical and empirical knowledge about the role of information systems in organizations, and with the ability to intervene in the diagnosis of planning and development of information systems in organizations, considering the Web environment. At the end of the course students will be able to: Understand the process of planning and developing information systems, their contingency nature, as well as the respective foundations, motivations, problems, and results. Consider the Web environment and develop conceptual frameworks, approaches, methods and tools for planning and developing information systems. Identify and discuss the factors that affect success with the adoption of information systems and technologies in organizations for the Web environment.
  • 1. Introduction to PSI: motivations, problems, and strategies 2. Information, Information Technologies, and Information Systems for the Web 3. Information Systems Architecture for the Web Environment  3.1. Characterization  3.2. Motivations  3.3. Expected results, problems, and success factors  4. PSI Process and Methodology   4.1. Bowman and Earl Models  4.2. BSP, PQM, SPC/CCTA Methods, Eclectic Methods  5. Model of predominant realities, participating realities  5.1. Paradigms  5.2. Influences  5.3. Results  5.4. Future  6. Proposed PSI method for the Web environment  6.1. Preliminary Activities  6.2. Study Preparation  6.3. Formal Start of the Study  6.4. Characterization of the IS  6.5. Construction of Alternative Scenarios for the Future Information System  6.6. Negotiation, Implementation, and Control of Solutions 
  • Avaliação contínua:

    • Trabalho prático (60%)
    • Trabalho teórico-prático (40%);

    Avaliação final:

    Todos os estudantes que não tenham concluído com sucesso a avaliação podem realizar um exame final prático (100%) na época de avaliação definida pela instituição.

  • Semestral
  • The syllabus begins by presenting the introductory concepts related to the Planning, Development, Implementation and Exploitation of Information Systems. The perception of the framework for approaching an Information System is essential for students to perceive the need for this area in the labor market. It is intended to address the methods, processes and model of PSI (Information Systems Planning). It is intended to develop the proposal of the PSI method for the Web environment.
  1. Mathematics
  2. Information Technologies
  3. Applied Project/Internship
  4. Interaction Design

Page 535 of 624

  • 530
  • 531
  • 532
  • 533
  • 534
  • 535
  • 536
  • 537
  • 538
  • 539

Select your language

  • Português (Portugal)
  • English (United Kingdom)

English Menu

  • Home

Pesquisa

Login Form

  • Forgot your password?
  • Forgot your username?