Dissertation - Part I

Category: Discipline
  • Web Systems and Technology Engineering
  • 6159
  • 22668
  • Dissertation - Part I
  • ISLA Santarém6159-22668
  • 2
  • 20
  • 886
  • 25
  • Sim
  • Português
  • Optional
  • Semestral

Introduction to the management of health organizations

Category: Discipline
  • Olden P. C.; Erwin C. O.; (2023); Management of Healthcare Organizations - An Introduction; 4th Revised ed.; Health Administration Press; USA Ginter P. M., Duncan W. J.,. Swayne L. E; (2018); The Strategic Management of Health Care Organization; 8th Ed.; John Wiley & Sons Bernardino M.; (2017); Gestão em Saúde; 1ª Ed., Almedina Ralha, J. Coord.; (2020) Da Gestão, em Saúde: Casos práticos - Para melhorar as competências das equipas de gestão; Ed. Sílabo Mateus D.; (2021) Gestão, Liderança e Cultura Organizacional para Gestores Hospitalares; Ed. Almedina Ayatollahi H., Zeraatkar K. (2019); Factors influencing the success of knowledge management process in health care organisations: a literature review; Health Information & Libraries Journal,37, pp. 98-117 DOI: 10.1111/hir.12285
  • Data and Technology Management in Health
  • 7055
  • 26692
  • Introduction to the management of health organizations
  • ISLA Santarém7055-26692
  • 2
  • 4
  • 0
  • 25
  • Não
  • Português
  • Students are expected to gain a comprehensive understanding of the topics covered, their interconnections, and the ability to solve proposed problems. Thus, the following methodologies will be used: Synchronous sessions (distance): MET 1. Classes are primarily expository and interrogative in nature, aimed at presenting fundamental concepts and demonstrating key results. In-person sessions: MET 2. Active methodologies, including cooperative learning, peer learning, and case studies, aimed at solving practical exercises and applications in Health Organizations Management. Autonomous work: MET 3. Availability of various educational resources (videos, links, apps, handouts, exercises, applications, instructor notes, etc.) on the Moodle platform. The instructor provides feedback (Tutorial Guidance - OT) on the results obtained by the student in solving practical exercises in the classroom context through the Moodle platform.
  • Mandatory
  • The main Learning Objectives of this curricular unit are the development of knowledge, skills and attitudes that will enable: O1. Knowledge of the national reference framework in which healthcare organisations operate and the ability to identify the various management models and their effects on the organisation's work and performance. O2. Knowledge of the different functions of management and their application in the field of healthcare organisations.  O3. Understand the principles and good practices of effective, efficient and transparent management.
  • CP1. Concepts and reference framework 1.1 Health service units as organisations 1.2 Health system resources and responses 1.3 Consumers, providers, suppliers and financiers in healthcare. 1.4 Health Systems Observatory 1.5 National Health Plan  CP 2 Management theories 2.1 Classical, Behavioural and Neo-Classical Approaches 2.2 Applications in Health Units or Organisations  CP 3. Management functions CP 4 Organisational structures in the health sector 4.1 SNS and health systems in Portugal 4.2 Health and the European Union 4.3 Non-governmental organisations in health and social protection 4.4 Health and social development CP5. Management control in health organisations 5.1 Principles and instruments of management control 5.2 Management efficiency and effectiveness 5.3 Organisational change in health services. 5.4 Introduction to the economic evaluation of technologies

  • Avaliação Curricular (contínua (presencial):
    Esta modalidade de avaliação é constituída por:
    AVAL 1. Participação ativa nos exercícios e questionários das aulas.
    AVAL 2. Apresentação do Trabalho prático em grupo (relatório e apresentação oral). 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
  •   

Statistics Applied to Marketing

Category: Discipline
  • Marôco, João (2021). Análise Estatística com SPSS, ReportNumber. Schiefer, H., & Schiefer, F. (2021). Statistics for Engineers: An Introduction with Examples from Practice. Springer Nature. Devore, J. L., Berk, K. N., & Carlton, M. A. (2021). Modern mathematical statistics with applications. 3rd edition. New York: Springer. Rhinehart, R. R., & Bethea, R. M. (2022). Applied Engineering Statistics. CRC Press. Gupta, B. C., Guttman, I., & Jayalath, K. P. (2020). Statistics and probability with applications for engineers and scientists. Wiley.
  • Marketing
  • 7153
  • 27435
  • Statistics Applied to Marketing
  • ISLA Santarém7153-27435
  • 2
  • 5
  • 0
  • 25
  • Não
  • Português
  • The teaching methodology combines synchronous online activities, in-person sessions, and independent study. The online sessions use lecture-based and active learning methods to present concepts, tools, and practical case studies, supplemented by hands-on exercises. In-person classes focus on solving and discussing exercises, promoting the application, analysis, and synthesis of knowledge using IBM SPSS, Jamovi, or JASP software. Independent study includes reviewing course content and solving additional exercises and problems assigned by the instructor. The instructor monitors student progress through tutorial guidance and feedback on completed exercises. Students can also use the Philix.ai virtual tutor as a supplementary resource to support their learning.
  • Mandatory
  • O1. Provide students with the knowledge to analyse data using descriptive statistics methodologies. O2. To present the fundamental concepts of probability theory. O3. Provide students with knowledge of the language of probability and statistics. O4. Read and correctly interpret documents using basic statistical language. O5. Formulate practical problems and express practical situations using the language of probability theory and statistics. O6. Correctly read and interpret documents using probabilistic and statistical language. O7. Formulate practical problems and express practical situations using the language of probability theory and statistics. O8. Use statistical software and interpret the outputs resulting from the application of descriptive statistical methods.
  • 1. Descriptive statistics: basic concepts: population, attribute, modalities and sample. Scales for measuring statistical data. Absolute and relative frequencies. Cumulative frequencies. Measures of central tendency. Measures of dispersion. Measures of asymmetry and kurtosis. 2. Probability theory: Basic concepts. Axioms of probability. Conditional probabilities. Independent events. Multiplicative and additive rules. 3. Random variables and probability distribution: Discrete random variables: probability function, distribution function. Absolutely continuous random variables: probability density function, distribution function. Mathematical expectation. Variance and standard deviation. Probability distribution: discrete and continuous. 4. Hypothesis testing: Formulation of null and alternative hypotheses. Significance level and statistical error. Parametric and non-parametric tests. Interpretation of p-value and statistical decision.

  • Avaliação Curricular (contínua):
    A1. Portfólio de exercícios resolvidos em aula presencial. Exercícios práticos de aplicação.
    A2. Teste intermédio - individual. Teste com componente de aplicação e componente escrita.
    A3. Teste final - individual. Teste com duas componentes: parte escrita e parte de aplicação prática.
    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) a aplicar é a seguinte:- Portfólio de exercícios de aula: 10 valores- Teste intermédio: 6 valores- Teste final: 8 valores
    Avaliação Final ou em Época de Recurso e Especial (A): O estudante realiza o exame teórico-prático com componente prática (50%) e
    componente teórica (50%) (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.

     
  • Semestral
  •   

Internship - Part I

Category: Discipline
  • Web Systems and Technology Engineering
  • 6159
  • 22670
  • Internship - Part I
  • ISLA Santarém6159-22670
  • 2
  • 20
  • 886
  • 25
  • Sim
  • Português
  • Optional
  • Semestral

Public Health and Epidemiology

Category: Discipline
  • Gordis, L (2018). Epidemiology. Elsevier. Brownson, R. C., Petitti, D. B., & Dodson, E. A. (2017). Applied Epidemiology: Theory to Practice (2nd ed.). Oxford University Press.  Friis, R. H., & Sellers, T. A. (2018). Epidemiology for Public Health Practice (6th ed.). Jones & Bartlett Learning. Fletcher, R. H., & Fletcher, S. W. (2019). Epidemiologia Clínica: Elementos Essenciais (5th ed.). Artmed Editora.
  • Data and Technology Management in Health
  • 7055
  • 19556
  • Public Health and Epidemiology
  • ISLA Santarém7055-19556
  • 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, using case studies and discussion forums. 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.  
  • Mandatory
  • O1. Understand the main concepts and principles of public health and epidemiology  O2. Identify risk and protective factors related to the population's health. O3. Know the main determinants of health, factors that influence the health of a population (social, economic, environmental, behavioral, biological). O4. Analyze health indicators and their importance in assessing the health situation of a community.  O5. Know the main disease prevention and control measures. O6. Understand the importance of epidemiological surveillance and epidemiological studies in public health. O7. Understand the use of technologies for collecting, analyzing, and interpreting epidemiological data, with applications of artificial intelligence and big data, in epidemiology.  
  • 1. Introduction to Public Health 1.1 History of Public Health 1.2 Concepts and Principles of Public Health 1.3 Epidemiology: Definition and Objectives 2. Study Methods in Epidemiology 3. Health Determinants 4. Health Indicators 5. Epidemiological Surveillance 6. Epidemiological Studies 7. Communicable and Non-Communicable Diseases 7.1 Disease Prevention and Control Measures 7.2 Risk and Protection Factors 8. Epidemiology applied to Public Health Management 8.1 Health Information systems 9. Epidemiology applied to Health Technology

  • Avaliação curricular Contínua:
    AVAL 1. Teste final teórico
    AVAL 2. Trabalho em grupo sobre interface da gestão indicadores epidemiológicos e tecnologia em saúde.
    A classificação final é calculada através da fórmula Classificação Final = 0,8*AVAL 1+0,2*AVAL 2. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
    Avaliação Final (presencial) - A: O estudante realiza o exame teórico (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 (100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
     

     
  • Semestral
  •    
  1. Visual Communication and Design
  2. Project - Part I
  3. Option II
  4. Business Strategy and Planning

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