- Details
- Category: Discipline
- Ross, Stephen A., Randolph W. Westerfield e Jeffrey Jaffe; Corporate Finance, McGraw-Hill Irwin, 2018 Berk, Jonathan e Peter DeMarzo; Corporate Finance, Pearson Education, 2017
- Management
- 6156
- 324
- Finantial Management
- ISLA Gaia6156-324
- 1
- 5
- 0
- 27
- Não
- Português
- The student must acquire and/or develop skills that allow them to understand the dimensions and implications of decision-making in companies. To acquire these skills, the following teaching and learning methodologies will be used: 1. Expository, to present the theoretical frameworks of reference and procedures associated with the techniques and models used 2. Participatory and active, using a simulator to validate decision-making processes 3. Self-study, related to the student's autonomous work and production of individual/group work
- Mandatory
- The objectives of this course are to develop the problematic underlying Business Finance, addressing the formulation of the most important questions that are posed to the financial activity of a company, that is, the concepts, methods and tools that support analysis and decision-making of the company's financial decisions, namely investment and financing decisions. The approach to the different decisions will be based on the basic paradigm of maximizing the value of the company and its owners. Students are expected to acquire skills in the process of analysis and evaluation of any company, business or investment project, always from the perspective of value creation. It is also expected that students will acquire specific skills in decision-making within the business organization, either on the investments side or on the financing side.
- Introduction to Financial Management The financial paradigm of companies Value, risk and return Asset Valuation Models The Investment Decision Investment decisions in the context of uncertainty Incorporation of the value of flexibility into investment decisions Theoretical and practical problems of investment decisions The Financing Decision The financing decision and the value creation Equity financing operations Debt and hybrid capital financing operations The problematic of the capital structure and its relationship with the value of the company The Decision on Distribution of Results Characterization of the distribution decision Theories on the relationship between dividend policy and company value Types of dividend policy Alternatives to payment of cash dividends
- Trabalho de grupo escrito - 45%
- Apresentação de trabalho de grupo escrito - 10%
- Teste final escrito - 45%
- Semestral
- This course covers some of the main decisions of the financial manager. In particular, it analyzes financing decisions, investment decisions and the decision to distribute results to shareholders and how these are substantiated in the creation of value.
- Details
- Category: Discipline
- Human Resources Management
- 1207
- 859
- Organizational Psychology
- ISLA Gaia1207-859
- 1
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Alhir, S. (2003). Learning UML, (1ª edition). Borges, J. (2015). Modelação de dados em UML. Editora FCA Cockburn Alistair (2000). Writing Effective Use Cases, Addison-Wesley. Costa, A. P. (2012). Metodologia Híbrida de Desenvolvimento Centrado no Utilizador. Tese de Doutoramento não publicada. Eriksson H., Penker, M., Lyons, B., Fado, D. (2004). UML 2 Toolkit, Wiley Publishing Guerreiro, S. (2015). Introdução à Engenharia de Software, Editora FCA Miguel, A. (2015). Gestão de Projectos de Software- 5ª Edição Atualizada. Editora FCA. Sommerville. Software Engineering ¿ Global edition. Pearson education limited.
- Computing Engineering
- 6155
- 22350
- Systems Analysis and Modeling
- ISLA Gaia6155-22350
- 2
- 3
- 0
- 27
- Não
- Português
- Innovative methodologies at UC include active learning through problem-solving and case studies, collaboration on group projects, use of interactive digital resources, regular formative assessments, and practical application of knowledge in real-world projects.
- Mandatory
- Know and use the modeling concepts for the development of Information Systems. Analyze and design an information system using modeling techniques. Identify (know that it exists) the problems inherent in the implementation stage of the analysis and design of information systems. Discuss (know how), alternatives to solving the problems inherent in the implementation stage of the analysis and design of information systems. Run (know how) the tasks of gathering, classifying and modeling user requirements in projects of medium complexity of information systems.
- Introduction The process of developing an SI Life cycle of a system Types of process models Requirements analysis and system specification Placement Identification of users and needs Requirements Engineering Modeling vs. Specification Development Methodologies The structured methodologies Object-Oriented Methodologies Methodologies Comparison methodologies UML- Unified Modeling Language Historical view Use-Case Diagram Class Diagram Sequence Diagram Collaboration Diagram Activity Diagram Component diagram Project Systems Development Colaborative and Cooperative Work Users Indentification Creation of Personas Description of scenarios and stories of use Prototyping of low and high fidelity Usability testing
Metodologia de avaliação:
1. Avaliação Curricular
Os estudantes podem escolher por uma das seguintes opções:
Opção
Elementos de avaliação
Peso (%)
Nota mínima Obs 1
Trabalho Prático
35%
8 Teste Final (Teste sem Consulta)
65%
8 2
Teste de Avaliação Global (TAG) (Teste sem consulta)
100%
9,5 2. Avaliação Final
Os estudantes que não tenham sucesso na avaliação curricular podem realizar exames nas épocas de avaliação definidas pela instituição.
- Semestral
- Systems Analysis intends to structure the information systems with the aim of maximum profitability of the organizations, so their level of importance: Sort reviews, rules, procedures, data collected by the analyst in coherent patterns of system required.
- Details
- Category: Discipline
- Deckler, G. (2022). Learn Power BI Second Edition. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence. Editor: Packt Publishing. ISBN: 9781801810074. Meier, M., Baldwin, D., Strachnyi, K., (2021), Mastering Tableau 2021: Implement advanced business intelligence techniques and analytics with Tableau, 3rd Edition, Packt. O'Connor, E. (2018), Microsoft Power BI Dashboards Step by Step, 1st Edition, Microsoft. Santos, M., Y., Ramos, I. (2017). Business Intelligence da Informação ao Conhecimento. Data Science. FCA. Shmueli, G., Bruce, P. C., Gedeck, P., & Patel, N. R. (2019). Data mining for business analytics: Concepts, techniques, and applications in Python. Wiley. Raschka, S., & Mirjalili, V. (2019). Python machine learning: Machine learning and deep learning with Python, scikit-learn, and TensorFlow 2 (3rd ed.). Packt Publishing.
- Analytics and Business Data Science
- 6416
- 24860
- Fundamentals of Business Intelligence and Data Analysis
- ISLA Gaia6416-24860
- 1
- 2
- 0
- 27
- Não
- Português
- The teaching methodology consists of the presentation and discussion of topics, and whenever possible present existing technologies, through the implementation of application examples that demonstrate the concepts involved. At the end of each topic, exercises are proposed to consolidate learning. Assessment methodology: Curricular Assessment: Practical work with a weight of 100% in the final grade.
- Mandatory
- Understand how to use business intelligence and data analytics to outperform traditional companies in your industry. Learn effective data visualisation (Dashboards and Reports) with Power BI. Develop social skills (soft skills), namely teamwork and collaboration, communication, critical and agile thinking. Understanding and implementing types of analytics (descriptive, predictive, and prescriptive); - The role of data science in decision support and business value creation; - The KDD (Knowledge Discovery in Databases) process; - Data mining.
- Description of contents Data, Information, Knowledge and Intelligence Fundamental concepts, data, information, knowledge, and intelligence. Importance of data quality in decision-making. ¿Data Mining Concept of ETL and the stages of the process. Examples of application in an organisational context ETL (Extract, Transform, Load) Stages of the ETL process and BI. Examples of data integration tools. Analytics e Data Science Types of analytics (descriptive, predictive, and prescriptive). Role of Data Science. KDD process. Data mining. Business Intelligence ¿BI concept and objectives. Key performance indicators (KPIs) Business Intelligence Architecture ¿Components and layers of a BI architecture (data sources, staging, data warehouse, data marts). Overview of OLAP and dimensional models. Power BI Introduction to Power BI and the data model. Construction of interactive reports and dashboards to support decision-making.
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
Trabalho prático
100%
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...
- Anual
- The main objective of this course is to introduce students to the potential of decision-making in organisations based on large data sets and their analysis in the context of Business Intelligence and data analysis. To promote understanding of data based on visualisation and the presentation of clear and strategic reports. Understand ETL (Extract, Transform, Load) processes, Analytics and Data Science KDD (Knowledge Discovery in Databases) and Data Mining. Understand how to use Business Intelligence and data analysis to support strategy formulation and decision-making. Learn effective data visualisation (Dashboards and Reports). Develop social skills, namely teamwork and collaboration, communication, critical and agile thinking.
- Details
- Category: Discipline
- Adams, J. Hafiz , T.A., Raeside, R. & White , D. (2007). Research methods for graduate business and social science students. New Dehli, Sage Publications. Bingham, A. J., Mitchell, R., & Carter, D. S. (2024). A Practical Guide to Theoretical Frameworks for Social Science Research. Taylor & Francis. Johannessen, J. (2025). Research Design Using Systemic Thinking: Describing the General Scientific Method. Routledge. Quivy, R. & Campenhoudt , L.V. (2005). Manual de investigação em ciências sociais. Lisboa: Gradiva Staddon, J. (2024). Scientific Method: How Science Works, Fails to Work, and Pretends to Work; 2nd Ed., Routledge.
- Tourism Management
- 6333
- 7351
- Research Methodologies
- ISLA Gaia6333-7351
- 1
- 5
- 0
- 27
- Não
- Português
- The course adopts an active and participatory approach, combining lectures with practical activities guided by project-based learning. The integration of theory and practice allows students to progressively apply the concepts of scientific methodology in the development of a research project. Classes include moments of dialogue, critical reflection, quizzes and case studies, promoting engagement and scientific thinking. The use of digital tools to support the organisation of academic work, such as Mendeley, reinforces academic literacy and autonomy. Finally, ethical debates and discussions stimulate scientific communication and epistemic responsibility.
- Mandatory
- By the end of the course unit, the students are expected to be able to: Apply basic concepts of research philosophy and critical reasoning to the realization of academic works. Differentiate between various research approaches and select the most appropriate for their project. Conduct research that generates valid results in an ethical manner. Deconstruct a research project between its different stages and acts. Formulate a clear, feasible and relevant starting question. Carry out a process of exploration that is appropriate to the research problem. Define a problematic of study and express it through questions and/or hypotheses. Select a sample, data collection technique and an analysis that are appropriate to their project.
- Introduction to methodology The scientific method Styles of reasoning Fallacies Approaches to research Quantitative and qualitative Pure/theoretical and applied Cross-sectional and longitudinal Validity and ethics in research Validity x Truth Epistemic responsibility Fraud in research The research process Rupture Construction Verification The starting question Clarity Feasibility Relevance Exploration Reading Exploratory Interviews Citations The problematic The analysis model Hypotheses Operative and systemic concepts Data collection and analysis Definition of relevant data The field of analysis and the observation units Collection and analysis instruments
- AVALIAÇÃO CONTÍNUA:
Descrição
Ponderação
Atividades
30%
Trabalho final
40%
Teste
30%
- Semestral
- This curricular unit consists in an initiation to the fundaments of academic investigation, focusing on the most used methods in social and business sciences, and particularly in tourism research. More specifically, the curricular unit addresses: general concepts of academic research, an introduction to the scientific method, different research approaches in social sciences, research ethics, and a detailed approach of the social sciences research process. The latter includes the definition of the research question, exploration, problem definition, and planning of data collection and analysis.
