Anatomy and Physiology of the Human Body

Category: Discipline
  • Guyton, A. C. & Hall, J. E. (2017). Tratado de Fisiologia Médica. (13th ed.). Rio de Janeiro: Elsevier.  Netter, F. H. (2018). Atlas de anatomia humana (7ª ed.). Rio de Janeiro: Elsevier. Standring, S. (2020). Gray's Anatomy. (42nd ed.). London: Elsevier Churchill Livingstone.  
  • Data and Technology Management in Health
  • 7055
  • 26680
  • Anatomy and Physiology of the Human Body
  • ISLA Santarém7055-26680
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • MET 1. Expository, interrogative, and active methodology to introduce the syllabus content and promote the acquisition of competencies in understanding anatomy and physiology. Utilization of the Moodle platform for the availability of pedagogical support materials. Use of the Zoom platform for teaching synchronous content at a distance. In-person sessions: MET 2. Demonstrative and active methodology to explore and apply theoretical-practical knowledge of anatomy and physiology. Use of anatomical specimens, complementary bibliography, and worksheets developed in the classroom. Autonomous work: MET 3. Use of the Moodle platform for providing complementary documentation and pedagogical support materials. The instructor provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving classroom worksheets.
  • Mandatory
  • The objectives of the curricular unit ae: O1. To understand the organization of the most relevant systems of the human body for the health area, focusing on the structure and function of the body. O2. To identify and comprehend the main structures and functions of the human body systems.
  • 1. Introduction to Human Anatomy and Physiology. 2. Cellular Organization and Histology of Basic Tissues. 3. Integumentary System. 4. Musculoskeletal System. 5. Nervous System. 6. Endocrine System. 7. Cardiovascular System. 8. Respiratory System. 9. Digestive System. 10. Urinary System and Reproductive System.

  • AVAL 1. - Prova escrita teórica (presencial)
    AVAL 2. - Prova escrita teórico-prática (presencial)
    A classificação final é calculada através da fórmula Classificação Final = 0,6*AVAL 1+0,4*AVAL 2. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    Época Normal (presencial) - A: O estudante realiza o exame teórico (60%) e teórico-prático (40%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 em 20 valores.
    Época de Recurso (presencial - A): O estudante realiza o exame teórico (60%) e teórico-prático (40%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 em 20 valores.

     
  • Semestral
  •   

Artificial Intelligence

Category: Discipline
  • Information Technology Management (ISLA Santarém)
  • 1215
  • 2129
  • Artificial Intelligence
  • ISLA Santarém1215-2129
  • 3
  • 5
  • 0
  • 25
  • Não
  • Português
  • Semestral

Project

Category: Discipline
  • Artigos, livros, revistas e jornais científicos que estejam relacionados com a área/tema do trabalho de projeto.
  • Project Management (M) (ISLA-SANTARÉM)
  • 7160
  • 1919
  • Project
  • ISLA Santarém7160-1919
  • 2
  • 30
  • 1340
  • 25
  • Sim
  • Português
  • The methodologies of this curricular unit are geared towards promoting autonomous student work. Face-to-face sessions: M1. Guidance based on preparation and follow-up meetings held periodically. Autonomous: M2. Consolidation/development through researching additional information on the different themes and developing supplementary reading. Writing the project work report. The student periodically submits interim reports on Moodle which are analysed and given feedback (Tutorial Guidance - OT) by the teacher, either in face-to-face guidance sessions, or via the Moodle platform.
  • Optional
  • The learning objectives of the course are as follows: O1. To apply the knowledge acquired in research methodologies and other curricular units. O2. Construct an autonomous project, applying the scientific method to define the theme, problem and methodology to be followed in carrying out the work. O3. Carry out a scientific research project, publishing the results obtained through a project report. O4. Promote research, analysis and interpretation skills in terms of research methodology. O5. Develop skills that enable the construction of an integrative and functional individual perspective based on the research carried out, the conclusions of which enable the development of intervention models in organisational contexts. O6. Develop a conceptual and practical frame of reference in relation to intervention issues in different organisational contexts.
  • 1. Principles of academic integrity, codes of ethics and plagiarism. 2. Methodology for developing project work. 3. Development of project work. 4. Writing the project report. 5. Presentation/discussion of project results. 6. Dissemination of results.

  • A avaliação é realizada através de Provas públicas perante um júri nomeado pelo Conselho Técnico-Científico nos termos definidos no regulamento Pedagógico dos cursos de 2.º ciclo em vigor nas instituições associadas.
    O júri será composto por três a cinco membros podendo um destes ser o orientador. Nos casos em que exista mais do que um orientador apenas um pode integrar o júri.
    Os membros do júri devem ser especialistas no domínio em que se insere o trabalho de projeto e são nomeados de entre nacionais ou estrangeiros titulares do grau de doutor ou especialistas de mérito reconhecido como tal pelo Conselho Técnico-Científico.

     
  • Semestral
  •    

Applied Mathematics

Category: Discipline
  • Anton H., Bivens I., Davis S. (2007). CÁLCULO, Vol.I, 8ª Edição. Brokate, M., Manchanda, P., & Siddiqi, A. H. (2019). Calculus for Scientists and Engineers. Springer Singapore. Carneiro, C. E., Prado, C. P., & Salinas, S. R. (2020). Introdução elementar às técnicas do cálculo diferencial e integral. Instituto de Física. 3a edição. São Paulo (Brasil). Macedo, M. (2022). Funções Reais de Várias Variáveis Reais. Universidade Católica Editora. Pires, G. (2022). Cálculo Diferencial e Integral em Rn. IST Press.
  • Data and Technology Management in Health
  • 7055
  • 69
  • Applied Mathematics
  • ISLA Santarém7055-69
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • Classes are of a mixed nature (theoretical-practical) with an expository component, presenting the fundamental concepts and demonstrating the main results, and an applied component with the resolution of practical exercises applied to Health Data. Students should acquire a global vision of the topics covered and their interconnections, and the ability to solve the problems formulated. In essence, the following methodologies will be used: MET 1. - Active methodologies such as cooperative learning; peer learning; gamification; problematisation, modelling and mathematical simulations. MET 2 - Project Based Learning for solving complex "real" problems involving the application of concepts inherent in the syllabus. MET 3 - Availability on the MOODLE platform of various educational resources (videos, links; APPs, summaries, exercises and applications, teacher's notes, etc.)
  • Mandatory
  • O1. Correct use of vocabulary and mathematical symbol; O2. Correct calculation in R; O3. Solving linear equations and systems of linear equations using matrices; O4. Knowledge of the concepts of continuity, limits and derivatives; O5. Application of the study of functions and their graphs to interpretation and problem solving; O6. Application of differential calculus in the study of real functions of real variable; O7. Interpretation and critique of the results in the context of the problem; O8. Communication of concepts, reasoning and ideas with clarity and logical rigour.
  • 1. ARRAYS 1.1 Definition and properties Operations with matrices 1.2 Elementary Operations, condensation and characteristic of an array 1.3 Application of arrays in classification and solving systems of linear equations: Gauss and Jordan 2. REAL FUNCTIONS of REAL VARIABLE 2.1 General information on real functions of real variable 2.2 Notion of limit; lateral limits; properties and operations 2.3 Continuous functions: definition, properties and extension by continuity 2.4 Theorems of Bolzano, Weierstrass and the continuity of inverse function 3. DIFFERENTIAL CALCULUS in R 3.1 Derivative of a function: definition and geometrical and physical interpretation 3.2 Lateral derivatives; differentiability; derivation rules; notion of differential 3.3 Theorems of Rolle, Lagrange, Cauchy 3.4 Cauchy and rule indeterminations 3.5 Higher-order Derivative 3.6 Monotony and extremes of functions. Scoops and inflection points 3.7 Asymptotes and Representation of the graph of a function

  • Avaliação Curricular (contínua (presencial):
    Esta modalidade de avaliação é constituída por:
    AVAL 1. Portfólio de trabalhos/exercícios de aula. 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*AVAL 1+0,4*AVAL 2 + 0,4 *AVAL 3. 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
  • The Applied Mathematics course is a fundamental component of the Bachelor's Degree in Data and Technology Management in Health, providing students with a rigorous foundation in essential concepts of linear algebra, real-valued functions, and differential calculus. The course aims to develop analytical and quantitative skills that enable them to interpret, model, and solve problems in contexts related to health, technology, and data management. The program covers topics such as matrices and associated operations, solving linear systems, real-valued functions of one real variable, limits, continuity, derivatives, and theorems of differential calculus, enabling the application of mathematical methods to concrete situations. This course encourages the development of logical-mathematical reasoning, critical thinking, and analytical skills, providing a solid foundation for subsequent courses and professional practice in areas that require quantitative rigor and data interpretation.

Auditing and Computer Security

Category: Discipline
  • Easttom, C. (2023). Computer security fundamentals. Pearson IT Certification. Stallings, W., Brown, L., & Bauer, M. D. (2023). Computer security: principles and practice. USA: Pearson Education. Koflr, M, et. al, (2023). Hacking and Security, The Comprehensive Guide to Penetration Testing and Cybersecurity. SAP PRESS. van Oorschot, Paul C.(2021). Computer Security and the Internet, Tools and Jewels from Malware to Bitcoin. Springer Nature.
  • Information Technology Management (ISLA Santarém)
  • 1215
  • 13157
  • Auditing and Computer Security
  • ISLA Santarém1215-13157
  • 3
  • 4
  • 0
  • 25
  • Não
  • Português
  • Synchronous distance learning: 1. Collaborative exploration of contents: through the application of a methodology based on flipped classes through which students take prior knowledge of the topics, being encouraged to apply this knowledge in the discussion of cases in groups and using digital collaborative tools. Faceto-face: 2. Practical exercises: resolution of application problems on the topics under study using the ABRP methodology. Autonomous: 3. Guided research proposed by the teacher and case studies to deepen the content. The lecturer gives feedback on the students' conclusions/doubts and on the exercises solved in class (tutorial guidance - OT), in person in the classroom and/or via the Moodle teaching/learning support platform.
  • Mandatory
  • O1. Understand the fundamental concepts of auditing and computer security. O2. Identify the main threats and risks affecting systems. O3. Discuss the principles and fundamentals that guide the definition of computer security policies in organizations. O4. Recognize the main standards and frameworks used in IS auditing. O5. Identify and interpret the fundamental principles of the GDPR applicable to the processing of personal data. C1. Demonstrate knowledge of the main security risks affecting IS. C2. Specify and apply security policies appropriate to different organizational contexts. C3. Use encryption mechanisms to strengthen the confidentiality, integrity, and authenticity of information. C4. Use auditing, vulnerability testing, and intrusion detection tools to assess the security of systems. C5. Discuss human factors in computer security.
  • 1.Introduction to IT Auditing and Security. 2. Threats: Types of threats. Sources of threats. 3. Security Policies: Development and implementation. Security standards. 4. Risk Management: Identification and assessment of risks. Risk mitigation strategies. 5. Security Technologies: Firewalls and intrusion detection/prevention systems. Cryptography. Authentication and access control. 6. Auditing: Objectives, Principles and Auditing Techniques. 7. Audit and Security Standards and Frameworks: COBIT. NIST. ISACA. 8. Incident Management: Planning and response. 9. Human Aspects of Security: Awareness and training. Social engineering and its techniques. 10. GDPR - General Data Protection Regulation.

  • Avaliação Curricular (contínua):
    - A1. Exercícios resolvidos em sala de aula.- A2. Trabalho teórico-prático (grupo).- A3. Teste final teórico-prático (individual).
    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.
    Avaliação Final e/ou de Recurso/Especial.
    Hipótese 1:- A1. Exercícios resolvidos em sala de aula. Estudante obteve classificação positiva nesta componente: mantêm a classificação que será
    considerada em qualquer das épocas.- A2. Trabalho teórico-prático (grupo). O estudante participou no trabalho de grupo o qual obteve classificação positiva e obteve
    classificação positiva na componente individual: mantém a classificação que será considerada em qualquer das épocas (Avaliação Final,
    Recurso/Especial)- A3. Teste final teórico/prático (individual). O estudante realiza este Teste em qualquer das épocas em que se submeta a avaliação.
    A classificação final é calculada através da formula prevista na avaliação Curricular (contínua).
    Hipótese 2:- A1. Exercícios resolvidos em sala de aula. O estudante não participou ou participando obteve classificação negativa.- A2. Trabalho prático (grupo). O estudante não participou no trabalho de grupo, ou participando obteve classificação negativa no trabalho
    ou na componente de avaliação individual.
    Nestas circunstâncias estas componentes da avaliação não poderão ser utilizadas na Avaliação Final, Avaliação em Época de
    Recurso/Especial (A).
    O estudante realiza o exame teórico-prático (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    A classificação mínima na avaliação curricular (continua) é a seguinte:- Exercícios resolvidos em sala de aula: 10 valores- Trabalho teórico-prático (grupo): 10 valores- Teste final teórico-prático (individual): 8 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.
  • Semestral
  •    
  1. Traineeship
  2. Ethics and Privacy in Health
  3. Innovation and Entrepreneurship
  4. Data Knowledge Extraction

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