Business Strategy and Planning

Category: Discipline
  • Freire, Adriano (2020). Estratégia: Criação de Valor Sustentável em Negócios Tradicionais e Digitais. Bertrand Editora. Grant, R (2021). Contemporary Strategy Analysis, Blackwell Santos, Luis Alberto Alves (2022). Planeamento Estratégico e Gestão de Negócios (7ª Edição). Escolar Editora. Thompson, Strickland and Gamble. (2024). Crafting and Executing Strategy - The Quest for Competitive advantage. McGraw-Hill.
  • Commercial Management
  • 1937
  • 13055
  • Business Strategy and Planning
  • ISLA Santarém1937-13055
  • 2
  • 5
  • 0
  • 25
  • Não
  • Português
  • Face-to-face: 1. Theoretical/practical classes: presentation of concepts, discussion, and application of program content in various contexts. 2. Case study-based learning. 3. Flipped classroom Independent: 3. Consolidation of content taught in class through additional research on the different topics and content covered and development of complementary work.
  • Mandatory
  • Objectives: O1. To present and develop the concepts, methodologies and tools for effective participation in the strategic management process; O2. To understand the different situations of strategic analysis, including the analysis of the environment, the industry and the stakeholders; O3. Use rational approaches to the identification and choice of alternatives including key competencies and strategy based on scale and non-scale; O4. Analyze issues and practices related to the implementation of chosen strategies; Skills and Competences: C1. Analyze the external business environment, industry analysis and competitiveness; C2. Analyze business and company strategies; C3. Design global strategies and their respective strategy control and performance management.
  • 1. Basic concepts and strategy formulation 2. Firm’s analysis 3. Strategy definition and choice 3.1 Business strategy: low-cost strategy 3.2 Business strategy: generic strategy of differentiation 3.3 Strategy Company: Diversification 4. Implementation of the strategy 5. The organizational governance: 5.1 Anglo American 5.2 Model Germano-Japanese 5.3 Organizational Ethics 5.4 Corporate Accountability 6. Enterprises globalization 7. Strategic control 8. Performance management

  • A avaliação contínua será realizada através de:

    • Resolução de casos práticos - 60%
    • Trabalho de grupo - 20%
    • Full paper de revisão de literatura (individual ou em grupo) - 20% 

     

    Os estudantes que não obtiverem aprovação, ou não se tenham submetido, à avaliação contínua, são sujeitos à avaliação final concretizada através de exame (100%).
  • Semestral
  • The course develops analytical and strategic formulation skills, addressing the external environment, industry, and stakeholders, enabling students to design, implement, and control business and company strategies aligned with competitiveness and organizational performance management.

Data Analysis and Processing

Category: Discipline
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Harlow: Pearson. Marôco, J. (2018). Análise Estatística com o SPSS Statistics (7.ª ed.). Pêro Pinheiro: ReportNumber. Pereira, A. (2015). SPSS – Guia Prático de Utilização (edição atualizada). Lisboa: Edições Sílabo. Pestana, M. H., & Gageiro, J. N. (2017). Análise de Dados para Ciências Sociais – A Complementaridade do SPSS (6.ª ed.). Lisboa: Edições Sílabo
  • Human Resources Management
  • 1211
  • 13030
  • Data Analysis and Processing
  • ISLA Santarém1211-13030
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Face-to-face: 1. Expository method: the defined program content is explored. In addition, the demonstrative method is used to present concrete examples of how the content can be applied. 2. Laboratory practice: based on the Problem-Based Learning (PBL) methodology, aiming to find solutions to problems identified by students or proposed by the teacher. Independent: 3. Guided research proposed by the teacher, aiming to consolidate the topics under study and providing input for the practical work developed by students.
  • Mandatory
  • O1. Understand and apply fundamental statistical techniques that support decision-making in contexts of variability and uncertainty, using real data. O2. Develop skills in data collection, organization, analysis, and processing, using statistical software to produce and interpret numerical and graphical outputs.
  • 1 Introduction to SPSS software 1.1 Work environment 1.2 Designing a data file 1.3 Defining variable properties 2 Univariate Descriptive Statistics with SPSS 2.1 General information 2.1.1 Population, Sample, and Statistical Unit 2.2 Creating frequency tables, graphs, and calculating descriptive measures with SPSS 2.3 Measures of location and dispersion 2.4 Measures of asymmetry and skewness 3 Bivariate Descriptive Statistics with SPSS 3.1 Scatter plot 3.2 Measures of association 3.3 Simple linear regression 3.4 Cross-tabulation of variables 4 Statistical Inference with SPSS 4.1 Estimation theory 4.2 Point and interval estimation 4.3 Decision theory 4.4 Confidence intervals versus hypothesis testing 4.5 Parametric and nonparametric tests 

  • O método de avaliação curricular consiste desenvolvimento de um trabalho de grupo aplicado a um caso real com recurso a SPSS (50%) e uma prova escrita no final do semestre (50%). 
    A avaliação final será concretizada através de exame (100%). 
  • Semestral
  • The course develops skills in data collection, organization, analysis, and processing, using statistical software to produce and interpret numerical and graphical results in order to support decision-making in contexts of variability and uncertainty based on real data.  

Quality Management

Category: Discipline
  • [Preencher APELIDO], [Preencher Primeiros Nomes] - [Preencher Título]. [Preencher Edição. Local de publicação :Editor, Ano de publicação. Descrição física. Série. ISBN)] [Preencher APELIDO], [Preencher Primeiros Nomes] - [Preencher Título]. [Preencher Edição. Local de publicação :Editor, Ano de publicação. Descrição física. Série. ISBN)  
  • Tourism Management (ISLA Santarém)
  • 2340
  • 5244
  • Quality Management
  • ISLA Santarém2340-5244
  • 3
  • 5
  • 643
  • 25
  • Não
  • Português
  •   
  • Optional
  •   
  •   

  • 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

    dd-mm-yyyy

    30%

    Portfolio

    dd-mm-yyyy

    40%

    (...)

     

     

     

    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
  •   

Mathematics

Category: Discipline
  • Aires, Luís M. (2021). Conceitos de Matemática – Fundamentos para as Ciências da Vida. Edições Sílabo. Gonçalves, Ricardo (2022). Álgebra Linear - Teoria e Prática. Edições Sílabo. Marques, S. et. al (2016). Introdução Computacional à Probabilidade e Estatística. Porto Editora. Costa, José, F.; Gouveia Paula (2019). Matemática Discreta. Editora IST.
  • Computer Networks and Systems
  • 1992
  • 2228
  • Mathematics
  • ISLA Santarém1992-2228
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Classes will begin with a presentation of the fundamental concepts of each topic, followed by a demonstration of their practical application through exercise solutions, both in the classroom and independently. This methodology aims to encourage active student participation and the development of autonomy and self-regulated learning skills. The expository method will be used to introduce the content, which will allow for the structuring of logical reasoning and facilitate the organization of knowledge. Additionally, the interrogative method will be used to assess the level of understanding and theoretical consolidation of the content covered in each chapter. Regarding the practical aspect, the demonstrative method will be used, with the presentation of illustrative examples, as well as active and participatory methods, which promote individual student engagement.
  • Mandatory
  • Explain the basic concepts of mathematics. Perform algebraic operations in different bases. Perform conversions between bases. Represent and perform operations with sets. Define Boolean algebra and utilize its properties. Use truth tables to identify the logical value of propositions. Perform operations with matrices. Use graphs to model and interpret problems. Explain how the mathematical tools introduced apply to computer science. Analyze and interpret a statistical problem. Analyze and identify situations and calculation methods to adopt for specific problems.
  • 1. Operations with bases 2. Set theory, logic, and Boolean algebra 3. Matrices and matrix operations 4. Graph theory 5. Elementary notions of statistics

  • Época Normal - Avaliação curricular (contínua) (*): O estudante constrói um portfólio com base nas atividades de avaliação ativa desenvolvidas ao longo do semestre e realiza dois testes de avaliação individual. O estudante aprova se a classificação final for superior ou igual a 9.5 valores em 20 valores. A classificação final é calculada pela fórmula Classificação Final = 0.3*P+0.35*T1+0.35*T2, onde P, T1 e T2 denotam, respetivamente, as notas no portfólio e nos testes de avaliação individual.

    (*) A realizar no decorrer do semestre.

    Época Normal - Avaliação final: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores em 20 valores.

    Épocas de Recurso e Especial: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores em 20 valores.

     

    Descrição

    Data 

    Ponderação

    Portfólio

    Consultar Moodle, consoante a turma.

    30%

    Teste 1

    Consultar Moodle, consoante a turma.

    35%

    Teste 2

    		 Consultar Moodle, consoante a turma. 35%

    Exames

    		 A agendar pelos serviços. 100%
  • Semestral
  • The Mathematics course is a key component of many programs, especially in Science, Technology, Economics, Management, and Engineering—as is the case at CTeSP in Computer Networks and Systems. The main objective of this course is to provide students with a solid foundation in essential mathematical concepts, such as operations with different numerical bases, logic, set theory, linear algebra, graphs, and statistics. This knowledge is essential not only for more advanced courses but also for dealing with real-world problems that arise in various fields. Throughout the course, theoretical and practical tools are combined to help students think in a structured and logical way. The goal is for them to be able to interpret problems, find solutions, and apply concepts in a practical way. Furthermore, this course seeks to stimulate critical and analytical thinking, demonstrating the usefulness of mathematics in everyday life, helping students prepare for the future.

Quality Management

Category: Discipline
  • António, N. S., Teixeira, A., & Rosa, Á. (2025). Gestão da qualidade (4.ª ed.). Edições Sílabo. Pires, A. R. (2023). Sistemas de gestão da qualidade: Ambiente, segurança, responsabilidade social, indústria, serviços, administração pública e educação (3.ª ed., rev. e atual.). Edições Sílabo Instituto Português da Qualidade. (2015). NP EN ISO 9000:2015 - Sistemas de gestão da qualidade: Fundamentos e vocabulário. IPQ. Instituto Português da Qualidade. (2015). NP EN ISO 9001:2015 - Sistemas de gestão da qualidade: Requisitos (com Emenda A1:2024 - Ações relativas às alterações climáticas). IPQ. Instituto Português da Qualidade. (2019). NP EN ISO 19011:2019 - Linhas de orientação para auditorias a sistemas de gestão. IPQ. Instituto Português da Qualidade. (2019). NP EN ISO 9004:2019 - Gestão da qualidade: Qualidade de uma organização: Orientações para alcançar o sucesso sustentado. IPQ. EFQM. (2020). EFQM model 2020. EFQM.
  • SME Management
  • 6011
  • 5244
  • Quality Management
  • ISLA Santarém6011-5244
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  • Content will be presented in face-to-face sessions with topic discussions, guided practical sessions, and practical work development. The Problem-Based Learning (PBL) and Case Study methodologies will be adopted, promoting student-centered active learning through the resolution of complex real-world problems.
  • Mandatory
  • The objectives of the course unit are: - Present the concepts and techniques associated with quality management. - Provide students with knowledge of the most recent theoretical approaches and their practical applications regarding quality, in the current context of complexity and uncertainty. - Show that the study of quality and its relationship with sustainability is essential for organizational performance. - Frame the human resources function as a specific function in the organization and as a management philosophy.
  • 1. Introduction to Quality Issues 2. Historical Approach to the Concept of Quality and Its Evolution 3. Portuguese Quality System/European Quality System 3.1 Certification of Quality Systems 3.2 Processes 3.3 Personnel Qualification 3.4 Standardization 4. Quality Management Systems (EN ISO 9000, 9001, 9004 and NP 4427) 4.1 Direct Processes 4.2 Associated Processes 5. Total Quality Programs  6. Quality Assessment 7. Quality Tools/Techniques 8. Quality and Its Relationship with Sustainable Development 8.1 Social Responsibility and Quality Ethics

  • A aquisição de conhecimentos será aferida através de um teste de avaliação escrito. O desenvolvimento de competências será aferido através da realização e da discussão de um trabalho individual ou de grupo. Os coeficientes de ponderação no cálculo da nota final são os seguintes: Teste - 60%; Trabalho de grupo  - 40%.

    Serão aprovados os alunos que tiverem nota final igual ou superior a 10 valores nos elementos de avaliação contínua acima indicados. Caso não sejam aprovados, terão de efetuar a avaliação final.
  • Semestral
  • The complexity and globalization of competition have made quality one of the essential factors for small and medium enterprises to achieve a competitive advantage in the market. Quality in business processes, from production to customer service, constitutes a fundamental differentiating element for operational efficiency and customer satisfaction. For the reasons stated, implementing quality management systems has become vital, as well as certification of SMEs based on internationally recognized technical standards. Since small and medium enterprises are characterized by limited resources but high flexibility, it is essential to ensure quality at each stage of their processes, guaranteeing resource optimization, waste reduction, and continuous improvement to achieve operational excellence and business sustainability.
  1. Management of Stocks
  2. General Principles of Computing
  3. Economics and Corporate Finance
  4. Networks and Data Communication I

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