Open Source Software

Category: Discipline
  • Web Systems and Technology Engineering
  • 6159
  • 22496
  • Open Source Software
  • ISLA Santarém6159-22496
  • 1
  • 6
  • 884
  • 25
  • Não
  • Português
  • Optional
  • Semestral

Health Data Representation and Visualization

Category: Discipline
  • Davis, N. A. (2023). Foundations of Health Information Management - E-Book: Foundations of Health Information Management - E-Book. Elsevier Health Sciences. Deckler, G., Powell, B., & Gordon, L. (2022). Mastering Microsoft Power BI: Expert techniques to create interactive insights for effective data analytics and business intelligence. Packt Publishing Ltd. Khan, A. A., & Alam, M. (2019). Data Science in Healthcare: Concepts, Methodologies, Tools, and Applications. IGI Global.  Steele, R., & Iliinsky, N. (2019). Designing Data Visualizations: Representing Informational Relationships. O'Reilly Media
  • Data and Technology Management in Health
  • 7055
  • 26690
  • Health Data Representation and Visualization
  • ISLA Santarém7055-26690
  • 2
  • 6
  • 0
  • 25
  • Não
  • Português
  • The classes will be developed using the following methodologies: Synchronous (distance): MET 1. - Expository, interrogative, and interactive methods: Presentation/explanation of concepts using expository, interrogative, and interactive methods. All pedagogical support materials are made available through the Moodle platform. In-person: MET 2. - Active methodologies: Practical application through exercises and assignments in a classroom setting. Autonomous: MET 3. - Reading of the recommended bibliography. Completion of practical exercises not completed during practical classes and others proposed by the instructor. These materials and exercises are made available on the Moodle platform. MET 4. - The instructor provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving these proposed problems, through the Moodle platform. 
  • Mandatory
  • The students will develop a comprehensive understanding of the fundamental principles of data representation and visualization in health, as well as acquire knowledge of visualization techniques and tools applicable to health sciences. Additionally, they will become familiar with user-centered interface design concepts and understand their relevance to healthcare professionals. The following learning objectives are proposed: O1. Develop competencies in effective data representation in health.  O2. Introduce visualization tools and dashboard construction. 03. Discuss design principles for user-friendly healthcare interfaces. 04. Highlight the importance of usability in promoting adoption by healthcare professionals.
  • 1. Introduction to Data Representation in Health 1.1. Basic concepts of data representation 1.2. Importance of accurate data representation in healthcare 2. Visualization Tools and Dashboard Construction 2.1. Overview of visualization tools 2.2. Practical dashboard construction for health data analysis 3. Design Principles for Healthcare Interfaces 3.1. Usability in interfaces for healthcare professionals 3.2 User-centered design in healthcare settings 4. Methods of Analysis and Interpretation of Health Data 4.1 Statistical techniques for data analysis 4.2 Interpretation of results for decision-making 5. Practical Applications in Health Data Management 5.1. Case studies on data usage in healthcare 5.2. Development of practical projects in data management 6. Ethics and Privacy in Health Data Management 6.1. Ethical considerations in data usage 6.2. Privacy protection and compliance with regulations  

  • Avaliação Curricular (contínua (presencial):
    Esta modalidade de avaliação é constituída por:
    AVAL 1. Portfólio de trabalhos/exercícios de aula com recurso ao Power BI. AVAL 2. Trabalho prático (relatório e projeto).
    AVAL 3. Teste final teórico/prático.
    A classificação final é calculada através da fórmula Classificação Final = 0,2*A1+0,4*A2 + 0,4 *A3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    Avaliação Final (presencial) - A: O estudante realiza o exame teórico-prático (100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    Época de Recurso e Época Especial (presencial) - A: O estudante realiza o exame teórico-prático (100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.

     
  • Semestral
  •   

Research Methods

Category: Discipline
  • American Psychological Association (2019). Manual de Publicação da APA (7.ª Edição). Artmed Clark, T., Foster, L., Sloan, L., & Bryman, A. (2021). Bryman's social research methods. Oxford University Press. Creswell, John (2021). Projeto de pesquisa. Método qualitativo Quantitativo e Misto, Bookman. Foroudi, P. & Dennis, C. (2024). Researching and Analysing Business, Research Methods in Practice. Routledge. Gonçalves, S., Marques, C. G., Gonçalves, P. (2021). Manual de Investigação Qualitativa, Conceção, análise e aplicações. Pactor. Schindler, P. (2021). Business Research Methods. McGraw Hill.
  • Marketing
  • 7153
  • 7093
  • Research Methods
  • ISLA Santarém7153-7093
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • The methodology is organized into three components: synchronous online sessions, in-person sessions, and independent study. The synchronous sessions focus on the acquisition and understanding of content through lectures, question-and-answer sessions, and debates, complemented by the analysis of practical case studies, with an emphasis on research planning, information gathering and interpretation, and the drafting of written materials. In-person sessions promote the application, analysis, and synthesis of knowledge through the discussion of case studies and the flipped classroom methodology, using videos, documents, and specific tools. Independent study consists of guided research to explore the content in greater depth and support the analysis of the cases. The instructor monitors the process by providing feedback in person or via Moodle, and the virtual tutor Philix.ai is also available for additional support.
  • Mandatory
  • O1. Characterise an investigation. O2. Describe the stages of the research process. O3. Identify the different information gathering techniques. O4. Describe the phases and procedures of an investigation. O5. Structure a research project by defining and clarifying the problem to be investigated. O6. Develop and apply research tools in the social sciences, with a special focus on business sciences. O7. Design and plan studies and research projects in the social sciences, with a special focus on business sciences, following ethical principles and making appropriate use of tools based on generative artificial intelligence.
  • 1. introduction to scientific research in the social sciences: research paradigms; the scientific research process; the stages of the research process. 2. Research in the social sciences: Types; Models; Perspectives; Research methods. 3. Research methods: Methodology; Stages of the process. 4. Data collection techniques: Observation; Interview; Questionnaire survey. 5. Presentation, analysis and discussion of results. 6. Rules for preparing a research report: Structure; Bibliographic referencing rules; Use of bibliographic reference managers. 7. Research ethics and deontology. 8. The use of tools based on Generative Artificial Intelligence in research.

  • Avaliação Curricular (contínua):
    A1. Portfólio de exercícios realizados em sala de aula (individual). Exercícios escritos realizados em contexto de sala de aula presencial.
    A2. Trabalho prático (grupo). Plano de um projeto de investigação. Consiste num documento escrito a submeter na plataforma Moodle incluindo apresentação e discussão.
    A3. Trabalho prático (individual). Revisão de literatura sobre um tema proposto pelo docente ou estudante, seguindo as normas da escrita científica.
    A classificação final é calculada através da fórmula Classificação Final = A1*0,2+A2*0,4+A3*0,4.
    O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    A classificação mínima na avaliação curricular (continua) é a seguinte:- Portfólio de exercícios realizados em sala (individual): 10 valores- Trabalho prático (grupo): 10 valores- Trabalho prático (individual): 10 valores.
    A avaliação dos trabalhos práticos em grupo, inclui a avaliação individual dos estudantes que terá uma ponderação de 40% na classificação do estudante nessa componente.
    Avaliação Final ou em Época de Recurso ou Época Especial (A):
    Hipótese 1:
    A1. Portfólio de exercícios realizados em sala. O estudante realizou os exercícios e obteve classificação positiva.
    A2. Trabalho prático (grupo). O estudante participou no trabalho de grupo e obteve classificação positiva na componente individual: mantém a nota que será considerada nestas épocas de avaliação.
    A3. Trabalho prático (individual). O estudante realiza este Trabalho em qualquer das épocas em que se submeta a avaliação.
    A classificação final é calculada através da seguinte formula utilizada na avaliação curricular (contínua).
    Hipótese 2:
    O estudante não realizou os exercícios em sala de aula e/ou não participou no trabalho de grupo ou participando obteve classificação negativa na componente de avaliação individual.

     
  • Semestral
  •   

Virtual and Augmented Reality

Category: Discipline
  • Web Systems and Technology Engineering
  • 6159
  • 15793
  • Virtual and Augmented Reality
  • ISLA Santarém6159-15793
  • 1
  • 6
  • 884
  • 25
  • Não
  • Português
  • Optional
  • Semestral

Healthcare Information Systems

Category: Discipline
  • Luna, D. (2018). Sistemas de Informação em Saúde: Fundamentos para a Gestão e a Prática. Editora Rubio.  González, C. (2019). Sistemas de Informação em Saúde: Teoria e Prática. Editora Manole. Haux, R., Kulikowski, C., & Bakken, S. (Eds.). (2019). IMIA Yearbook of Medical Informatics 2019. Methods of Information in Medicine.  Shortliffe, E. H., & Cimino, J. J. (Eds.). (2019). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (5th ed.). Springer.
  • Data and Technology Management in Health
  • 7055
  • 7589
  • Healthcare Information Systems
  • ISLA Santarém7055-7589
  • 2
  • 6
  • 0
  • 25
  • Não
  • Português
  • Synchronous (distance): MET 1. - Expository, interrogative, and interactive methods: Presentation/explanation of concepts using expository, interrogative, and interactive methods. All pedagogical support materials are made available through the Moodle platform. In-person: MET 2. - Active methodologies: Practical application through exercises and assignments in a classroom setting. Autonomous: MET 3. - Reading of the recommended bibliography. Completion of practical exercises not completed during practical classes and others proposed by the instructor. These materials and exercises are made available on the Moodle platform. MET 4. - The instructor provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving these proposed problems, through the Moodle platform.  
  • Mandatory
  • O1. Understand the evolution of Health Information Systems  O2. Understand the architecture of Health Information Systems O3. Understand the implementation stages of a Health Information System  O4. Develop knowledge about interoperability in Healthcare O5. Develop knowledge about data analysis and Business Intelligence O6. Understand the impact of Information Systems on the evaluation of healthcare professionals' performance  O7. Develop knowledge about the security, ethics, and privacy of health information O8. Understand trends and future challenges of Health Information Systems
  • 1. Introduction to Health Information Systems (HIS) 1.1 History and evolution of HIS 1.2 Architecture of HIS 2. Implementation and Relevance of HIS 2.1 Stages in the implementation of HIS 2.2 Interoperability in healthcare 2.3 Classified languages 2.4 Data analysis and Business Intelligence 2.5 Impact of HIS on the evaluation of healthcare professionals' performance 3. Requirements of a Health Information System 3.1 Security, ethics, and privacy of health information 3.2 Trends and future challenges of HIS

  • Avaliação curricular contínua:
    AVAL 1. - Portfólio de trabalhos/exercícios de aula. AVAL 2. - Teste final teórico

    Avaliação Final (presencial) - A: O estudante realiza o exame teórico-prático (100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    Época de Recurso e Época Especial (presencial) - A: O estudante realiza o exame teórico-prático (100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
     

     
  • Semestral
  •    
  1. Commercial Management and Negotiation
  2. Option II
  3. Research Methods in Health
  4. Consumer Behaviour

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