Programming Fundamentals

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.

  • Avaliação Curricular (contínua):
    Esta modalidade de avaliação é constituída por:
    A1. Portfólio de trabalhos/exercícios de aula. A2. Trabalho prático (relatório e projeto).
    A3. 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 (A): O estudante realiza o exame completo (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
    Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo (A=100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
     

     
  • Semestral
  •   

Applied Project

Category: Discipline
  • Information Technology Management (ISLA Santarém)
  • 1215
  • 15747
  • Applied Project
  • ISLA Santarém1215-15747
  • 3
  • 13
  • 1393
  • 25
  • Sim
  • Português
  • Optional
  • Semestral

Web Programming

Category: Discipline
  • Web Systems and Technology Engineering
  • 6159
  • 11195
  • Web Programming
  • ISLA Santarém6159-11195
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Semestral

Digital Health Technologies

Category: Discipline
  • Margariti, A., Stathopoulou, A., Koulouvari, AD., Sakellari, E., & Lagiou, A. (2023). Digital health and health promotion: A scoping rev. of systematic reviews. In M. Giacomini, L. Stoicu-Tivadar, G. Balestra, A. Benis, S. Bonacina, A. Bottrighi, T. M. Deserno, P. Gallos, L. Lhotska, S. Marceglia, AC Pazos Sierra, S. Rosati, & L. Sacchi (Ed), Studies in Health Techn and Informatics. IOS Press. Rouleau, G., Wu, K., Ramamoorthi, K., Boxall, C., Liu, R. H., Maloney, S., Zelmer, J., Scott, T., Larsen, D., Wijeysundera, H. C., Ziegler, D., Bhatia, S., Kishimoto, V., Steele Gray, C., & Desveaux, L. (2024). Mapping theories, models, and frameworks to evaluate digital health interventions: Scoping review. Journ. of Medical Internet Research Tulu, B., & Chatterjee, S. (2019). Health Informatics on FHIR: How HL7s New API is Transforming Healthcare. Apress. Kaelber, D. C., & Bates, D. W. (Ed). (2020). Clinical Informat's Literacy: 5000 Concepts That Every Informatician Should Know. Springer
  • Data and Technology Management in Health
  • 7055
  • 26686
  • Digital Health Technologies
  • ISLA Santarém7055-26686
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  • Remote synchronous MET 1. Expository, interrogative, and interactive methods for presenting/exposing content. All pedagogical support elements are made available through the Moodle platform. Face-to-face: MET 2. Active methodologies: Practical application through exercises and classroom work. Autonomous: MET 3. The teacher provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving these proposed problems, through the Zoom and Moodle platforms.
  • Mandatory
  • O1. Understand the basic concepts and evolution of digital technologies applied to health. O2. Identify the applicability of digital technologies in health and wellness assessment, intervention, and research.  O3. Understand the role of digital technologies in the collection, analysis, and interpretation of clinical data. O4. Identify the principles of electronic health record management. O5. Identify the ethical principles and regulations related to digital technologies in healthcare.
  • 1. Introduction to Digital Technologies in Health 1.1. Basic concepts of digital technologies applied to health 1.2. Evolution and importance of digital technologies in the modernization of the health sector 2. Applicability of digital technologies in health 2.1. Technologies in assessment and intervention 2.2. Technologies in research 3. Artificial intelligence in health practice and research 4. Principles of health record management 5. Ethics and regulation of digital technologies in health  

  • Avaliação Contínua (presencial) com componentes de avaliação repetíveis:
    AVAL 1. - Teste escrito.
    AVAL 2. - Trabalho de grupo.
    AVAL 3. - Apresentação oral.
    Classificação Final = 0,3 * AVAL 1 + 0,4 * AVAL 2 + 0,3 * AVAL 3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    Avaliação Final, Época de Recurso e Época Especial (presencial) - A - são idênticas à avaliação descrita para a Avaliação Contínua, com as componente reprovadas na avaliação anterior.
     

     
  • Semestral
  •   

Traineeship

Category: Discipline
  • Information Technology Management (ISLA Santarém)
  • 1215
  • 814
  • Traineeship
  • ISLA Santarém1215-814
  • 3
  • 13
  • 1393
  • 25
  • Sim
  • Português
  • Optional
  • Semestral
  1. Advanced Web Programming
  2. Fundamentals of Data Management
  3. English
  4. Artificial Intelligence

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