- Details
- Category: Discipline
- IT for eCommerce
- 6616
- 11202
- Final Project
- ISLA Gaia6616-11202
- 3
- 15
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Cunha, L. (2013). Economia e Política do Turismo (3.ª Edição). Lisboa: Lidel. Dornbusch, R. et al. (2017). Macroeconomics (13.ª Edição). McGraw Hill. Fernandes, A. et. al. (2023). Introdução à Economia (4.ª Edição). Edições Sílabo. Kennell, James (2025). Tourism and Public Policy . Routledge Matias, A. (2018). Economia do Turismo. Teoria e prática (2.ª Edição). Lisboa: Instituto Piaget. Samuelson, P. e Nordhaus, W. (2012). Economia (19.ª Edição), McGraw Hill Portugal Tribe, J. (2020). The Economics of Leisure and Tourism (6.ª Edição). London: Routledge. Vanhove, N. (2017). The Economics of Tourism Destinations : Theory and practice. London: Routledge
- Tourism Management
- 6333
- 524
- Economics of Tourism
- ISLA Gaia6333-524
- 1
- 5
- 0
- 27
- Não
- Português
- Among the innovative methodologies supporting the teaching-learning process, the following will be employed: Interactive case studies, enabling students to simulate problem-solving within the scope of the contents of this course unit. Utilization of emerging technologies (e.g., AI) as aids for research and problem-solving.
- Mandatory
- This course unit develops applied economic analysis skills for tourism, integrating microeconomics, macroeconomics and key tools to measure tourism’s economic contribution. By the end of the course, students should be able to: Explain and apply microeconomic concepts to tourism markets (demand, supply, elasticities, costs and market equilibrium/competition); Interpret relevant macroeconomic indicators (GDP/national income, inflation, unemployment, balance of payments and exchange rates) and discuss their implications for tourism; Use Tourism Satellite Account principles to assess tourism’s economic weight and distinguish direct and indirect effects (including multipliers); Analyse data and communicate evidence-based conclusions through written reports and oral presentations, adhering to academic integrity and ethical standards.
- 1. Microeconomic concepts of tourism Tourist demand and its determinants. Tourism supply and its determinants. The impact of inflation on tourism and monetary policy on tourism Seasonality in tourism demand and supply. The elasticity of demand, supply and income. Costs in tourism enterprises. The market balance and the impact of competition. Types of market and operating patterns. 2. Macroeconomic concepts of tourism. The income and the national product. Circular flow of income. Inflation and unemployment. Employment and wages The balance by the Keynesian model. Tourism and Balance of Payments. The impact of the exchange rate on international trade 3. Tourism satellite accounts and the economic impacts of tourism Concepts of expenditure, consumption and production. Economic benefits of tourism. Economic costs of tourism. Multipliers of tourism. 4. Tourism, growth and economic development
Descrição
Ponderação
Teste de avaliação
40%
Trabalhos escritos + Apresentações
50%
Presenças e Participação
10%
- Nota mínima de 8 valores obrigatória em cada uma das componentes da avaliação.
- Presença obrigatória a, pelo menos, 75% da carga horária da UC.
- Semestral
- The course unit aims to develop and apply the main concepts and tools associated with Economics in the context of tourism. It will also aim to develop knowledge about the impact of tourism on the economy of countries and destinations. It will seek to equip students with the knowledge to interpret data on the development and impact of tourism
- Details
- Category: Discipline
- - Heizer, J. & Render, B. (2013). Operations Management (11th edition). New Jersey, USA. Pearson. - Jacobs, F. & Chase, R. (2020). Operations and Supply Chain Management (16th edition). McGraw-Hill. - Krajewski, L., Ritzman, L. & Malhotra, M. (2018). Operations Management: Processes and Supply Chains (12th edition). New Jersey, USA. Pearson. - Carvalho, J. C. (2017). Logística e Gestão da Cadeia de Abastecimento (2ª Ed.). Lisboa Edições Sílabo.
- Management
- 6156
- 16252
- Operations and Logistics Management
- ISLA Gaia6156-16252
- 1
- 5
- 0
- 27
- Não
- Português
- Students are encouraged to carry out research and structure a lesson on a logistics and operations management topic. Use of Infographics.
- Mandatory
- Students are expected to be able to identify courses of action and evaluate strategic options in solving concrete problems critically and analytically. Knowledge: . Obtaining a comprehensive introduction to operations management. . Distinguishing and understanding the concepts of the various areas of Operations Management and their practical application, formulate a problem, the variables and method of resolution. . Acquisition of concepts, models and techniques of operations management that allow understanding and participation in the processes of improving the operation of industrial and service companies. Abilities: . Investigate autonomously to decide the most appropriate methods to respond to operations management problems. . Master the techniques, tools and techniques to support the design, planning, management and improvement of operations. Skills: . Skills to correctly apply the techniques and concepts of the various resolution methods.
- 1. Introduction to Operations Management and Logistics 1.1. Role of Operations / Logistics; 1.2. Logistic Attributes 1.3. Logistic Activities 2. Operations and Logistics Strategy 2.1. Company strategy; 2.2. Competitive dimensions 3. Design of Operations 3.1. Operations Strategies (Industry and Services) 3.2. Location and layout of operations 3.3. Process analysis 4. Operations Planning and Management 4.1. Forecasting Methods - Deterministic Models - Algorithms 4.2. Operations and capacity planning 4.3. Inventory Management - Stochastic Models 4.4. Material Requirements Planning and ERP 4.5. Operations Schedule 5. Supply Chain Management 5.1. Supply chain and network concept 5.2. Supply Chain Planning 6. Improved Operations 6.1. Quality management and improvement 6.2. Just-in-Time and Lean Systems
A aprovação na avaliação curricular implica nota final não inferior a 9,5 valores.
Todos os alunos inscritos à unidade curricular podem realizar o exame final na época normal
desde que não tenham realizado ou obtido aprovação na avaliação curricular.
Elemento de avaliação
Peso
Trabalho Individual
90%
Assiduidade
10%
- Semestral
- Within the Operations Management and Logistics course unit, students are expected to develop a clear understanding of these two themes, through contact with the most important and pertinent issues of modern operations and logistics.
- Details
- Category: Discipline
- Chiavenato, I. (2025). Gestão De Pessoas: O Novo Papel Da Gestão Do Talento Humano (6ª ed.), Rio de Janeiro: ATLAS. Cunha, et al. (2016). Manual de Comportamento Organizacional e Gestão (8ª ed.). Lisboa: Editora. Pinto, J.C. e Branco, P. (2025). Gestão Estratégica de Pessoas (1ª ed.). Lisboa: Editora RH. Reis, P. (2024). Cálculo e processamento salarial (6ª ed.). Lisboa: PACTOR. Sousa, M. J., Duarte, T., Sanches, P. G., & Peralta, J. G. (2025). Gestão de Recursos Humanos: Métodos e Práticas (11ª ed.). Lisboa: Pactor.
- Applied Business Management for Micro and Small Enterprises
- 6675
- 13711
- Administrative Management of Human Resources
- ISLA Gaia6675-13711
- 1
- 1
- 0
- 27
- Não
- Português
- The CU was designed with the integration of active learning methodologies in mind, including, where relevant, the use of digital tools. The methodologies used aim to encourage active participation, critical thinking, and the development of students' ability to translate theory into practice. To this end, methodologies such as case-based learning, questionnaires, gamification, active and student-centered learning (using brainstorming, sharing real cases, storytelling, among others) were used and, finally, promoting a culture of continuous feedback and formative assessment.
- Mandatory
- Students should be able to distinguish between HRM and ER and understand the contribution of this area to organizations (LO1); Identify and apply concepts related to key practices - recruitment and selection, job description and analysis, training and development, and performance evaluation (LO2); analyze the components that make up a compensation system, distinguishing between remuneration and compensation and understanding the main costs associated with the cost of an employee to an organization (LO3); understand the principles of human capital management (LO4); identify the main contemporary challenges of HRM (LO5).
- Chapter 1. Administrative HR Management vs. Strategic HR Management Difference between GARH and GERH Chapter 2. Recruitment and Selection Recruitment vs. Selection Internal vs. External Recruitment Selection Job Description and Analysis Chapter 3. Training and Development Types of Training Performance Evaluation Chapter 4. Strategic Compensation Management Compensation System Salary Review - Factors Remuneration vs. Compensation Hourly Compensation The Case of Night Workers The cost of the employee to the company Vacation, holidays, and absences Chapter 5. Human Capital Management Talent management Well-being and happiness Team building Participatory management and inclusive leadership Chapter 6. Current challenges and future prospects Digitization and AI as support tools Diversity management Flexibility
Os/As discentes podem optar uma destas duas modalidades abaixo propostas:
Descrição
Data
Ponderação
Modalidade 1: Atividades realizadas em aula
3-02-2026
10-02-2026
18-02-2026
100%
Modalidade 2: Avaliação por trabalho prático
26-02-2026
100%
- Anual
- The CU integrates the area of HRM, exploring the main areas of intervention of the HR function in organizations. The content focuses on fundamental practices, from recruitment to strategic management of remuneration and human capital, linking the conceptual framework with practical application. In this way, students will be equipped with the essential skills to understand and intervene in people management in contemporary organizational contexts, with a focus on micro and small businesses.
- Details
- Category: Discipline
- Oliveira, P. N. D. (2025). Materiais de apoio e conteúdos pedagógicos da unidade curricular Ferramentas para Análise de Dados. ISLA-IPGT. Carvalho, A. (2015). Exercícios de Excel para Estatística. Lisboa: FCA. Carvalho, A. (2019). Exercícios de Power BI – Importação, Edição e Visualização de Dados. Lisboa: FCA. St. Aubyn, M., & Venes, N. (2011). Análise de Dados: Aplicações às Ciências Económicas e Empresariais. Lisboa: Dashöfer Holding.
- Digital Communication
- 2201
- 26070
- Data Analysis Tools
- ISLA Gaia2201-26070
- 2
- 6
- 0
- 27
- Não
- Português
- Innovative methodologies: practical workshops (“Data Labs”) with real datasets, gamification and digital simulations, project-based learning (PBL), storytelling with data, use of digital tools (Power BI, Metricool, Google Analytics, Excel), and responsible integration of generative AI (ChatGPT, Gemini, Copilot).
- Mandatory
- This course aims to provide students with a comprehensive understanding of data analysis applied to digital communication and organizational contexts. Students will develop the ability to collect, process, and visualize data, mastering professional tools such as Excel, Power BI, Google Analytics, and Metricool. They will acquire the skills to interpret digital metrics, build analytical dashboards, and produce evidence-based reports to support informed decision-making. The course also promotes analytical reasoning, critical thinking, and autonomy in the use of data for strategic purposes.
- Introduction to Data Analysis Data Collection Data Editing, Processing, and Transformation Data Analysis Reports and Dashboards Data Analysis Tools: Excel, Power Query, Power BI, Tableau, Metricool, Google Analytics
Descrição
Data limite
Ponderação
Teste de avaliação
08-01-2026
50%
Trabalho
15-01-2026
40%
Assiduidade e participação
------------
10%
Critérios: qualidade técnica, cumprimento de prazos, comunicação visual e ética no uso de IA generativa.
- Semestral
- The course unit Data Analysis Tools is part of the field of Digital Communication and aims to provide students with practical and analytical skills applied to the collection, processing, interpretation, and visualization of data. Its scope focuses on the use of tools such as Excel, Power BI, Metricool, and Google Analytics to transform information into actionable knowledge, supporting strategic and operational decision-making. This unit is essential for strengthening digital literacy and critical analytical capacity in professional contexts of marketing and communication.
