- Details
- Category: Discipline
- Joel Schneider, W., Elizabeth O. Lichtenberger, Nancy Mather, and Nadeen L. Kaufman. 2018. Essentials of Assessment Report Writing. John Wiley & Sons. Muller, M. J. (2019). Healthcare Analytics Made Simple: Techniques in Healthcare Computing Using Machine Learning and Python. Apress. Nunes, T., Mavridis, N., & Iliadis, L. (2019). Big Data Analytics in Healthcare: Concepts, Methodologies, Tools, and Applications. Springer. Jorge, Maria Salete Bessa, Thereza Maria Magalhães Moreira, Adriano Rodrigues de Souza, and Damião Maroto Gomes Júnior. 2023. Os labirintos da gestão, práticas, modelos de protocolo e financiamento em saúde. Amplla Editora.
- Data and Technology Management in Health
- 7055
- 512
- Project II
- ISLA Santarém7055-512
- 2
- 8
- 1256
- 25
- Sim
- Português
- The project will be face-to-face, using the following methodologies: MET 1. Active methodologies: observation of data collection and processing processes in a health context. MET 2. Reading the recommended bibliography. This will serve as a basis for writing the final project work. MET 3. Tutorial guidance during the project period.
- Optional
- This curricular unit offers students the opportunity to integrate and apply the theoretical knowledge acquired throughout the course in simulated professional environments. Students will have the opportunity to develop essential practical skills in the area of health data and technology management. The following learning objectives are proposed: O1. Apply the principles of data and technology management in healthcare in simulated practice applied to professional contexts. O2. Develop practical skills in the use of health information systems and health data management. O3. Demonstrate the ability to select the appropriate techniques and methods for carrying out the proposed activities. O4. Draw up reports following the rules of scientific writing.
- 1. Health Data Management. 1.1 Stages of data management (collection, storage, processing). 1.2 Analysing the life cycle of data from its origin to its use for decision-making. 2. Data processing and analysis. 2.1 Data processing and handling practice, including processing, organising and transforming data. 2.2 Apply data analysis techniques to extract relevant insights and patterns, using statistical and data visualisation tools. 3. Presentation of Results and Conclusions. 3.1 Developing skills in the clear and objective presentation of data and conclusions, using different formats such as reports, presentations and dashboards. 3.2 Drawing up critical analyses and interpretations of the indicators relevant to the process observed, highlighting strengths and possible points for improvement.
Avaliação Curricular (contínua e presencial):
Esta modalidade de avaliação é constituída por:
AVAL 1. Participação ativa na realização das atividades propostas no trabalho de projeto. AVAL 2. Redação do relatório de projeto.
A classificação final é calculada através da fórmula Classificação Final = 0.4*A1+0.6*A2. O estudante é aprovado se obtiver classificação igual ou superior a 9.5 valores em 20.
Avaliação Final (A) (presencial em qualquer época de avaliação): O estudante apresenta o relatório de projeto (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9.5 valores em 20.- Semestral
- Details
- Category: Discipline
- Caetano, L. F. (2022). Comércio Eletrónico. Edições Esgotadas. Lister, T. (2024). WordPress Styling with Blocks, Patterns, Templates, and Themes: Explore WordPress styling with step-by-step guidance, practical examples, and tips. Packt Publishing. Maia, Vera (2022). E-Commerce para Gestores, Lançar e gerir uma loja online. Editora D´Ideias. Marzo, L. (2023). Joomla! 4 Masterclass: A practitioner's guide to building rich and modern websites using the brand-new features of Joomla 4. Packt Publishing. Wu, Michael (2024). Advanced Digital Marketing Strategies for Ecommerce: 9 Mini Master Classes to Drive Sales, Build Loyalty, and Achieve Rapid Growth (social media, SEO, Facebook Ads, CRO, Email Marketing, and more). Lighthouse Media & Publications Inc.
- Marketing
- 7153
- 13158
- E-commerce
- ISLA Santarém7153-13158
- 2
- 5
- 0
- 25
- Não
- Português
- The teaching methodology integrates synchronous online activities, in-person sessions, and independent study. The online sessions use lecture-based and interactive methods to present and explore the content, supplemented by participation in wikis on the Moodle platform. In-person classes emphasize practical application through exercises and Problem-Based Learning (PBL), involving the development of business plans and online presence (website and online store) using open-source technologies such as WordPress or Joomla. Independent work includes guided research to reinforce the content and support the projects being developed. The instructor monitors student progress through tutorial guidance and feedback, either in person or via the Moodle platform. Students can also use the Philix.ai virtual tutor for additional support.
- Mandatory
- O1. Present the historical evolution of e-commerce. O2. To understand the current context of e-commerce. O3. Present e-commerce models and strategies. O4. Present e-commerce infrastructures. O5. Provide students with the knowledge to develop a business plan for e-commerce. O6. Demonstrate competences for developing an e-commerce strategy. O7. Draw up a business plan for implementing e-commerce. O8. Develop web sites and shops for e-commerce.
- 1. introduction to e-commerce. 2. Electronic markets and e-commerce fundamentals. 3. E-business models and strategy. 4. E-commerce infrastructure. 5. Social networks and e-commerce. 6. Developing an online presence: Website development process for e-commerce. Online shop development. Shipping and fulfilment strategies. Payment platforms and methods. 7. E-commerce metrics and web analytics. 8. Business plan for e-commerce.
Avaliação Curricular (contínua):
A1. Teste teórico/prático intermédio (individual).
A2. Trabalho prático (grupo). Trabalho de aplicação com relatório escrito. Este trabalho é apresentado e discutido em aula.
A3. Teste teórico/prático (individual). Exercício de aplicação e componente escrita.
A classificação final é calculada através da fórmula Classificação Final = A1*0,3+A2*0,4+A3*0,3.
O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
A classificação mínima na avaliação curricular (continua) é a seguinte:- Teste teórico/prático intermédio (individual): 6 valores- Trabalho prático (grupo): 10 valores- Teste teórico/prático - no final do semestre (individual): 8 valores.
A avaliação dos trabalhos práticos em grupo, inclui a avaliação individual dos estudantes que terá uma ponderação de 40% na
classificação do estudante nessa componente.
Avaliação Final ou em Época de Recurso ou Época Especial (A):
Hipótese 1:
A2. Trabalho prático (grupo). O estudante participou no trabalho de grupo e obteve classificação positiva na componente individual:
mantém a nota que será considerada nestas épocas de avaliação.
A1. Teste teórico/prático (individual). O estudante realiza este Teste com componente de aplicação e componente escrita em qualquer das
épocas em que se submeta a avaliação.
A classificação final é calculada através da seguinte formula: A1*0,6+A2*0,4.
Hipótese 2:
O estudantes não participou no trabalho de grupo ou participando obteve classificação negativa na componente de avaliação individual.
Avaliação Final, Avaliação em Época de Recurso/Especial (A): O estudante realiza o exame teórico-prático com componente de aplicação
(50%) e componente escrita (50%) (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.- Semestral
- Details
- Category: Discipline
- Web Systems and Technology Engineering
- 6159
- 22671
- Dissertation - Part II
- ISLA Santarém6159-22671
- 2
- 30
- 887
- 25
- Sim
- Português
- Optional
- Semestral
- Details
- Category: Discipline
- Joel Schneider, W., Elizabeth O. Lichtenberger, Nancy Mather, and Nadeen L. Kaufman. 2018. Essentials of Assessment Report Writing. John Wiley & Sons. Muller, M. J. (2019). Healthcare Analytics Made Simple: Techniques in Healthcare Computing Using Machine Learning and Python. Apress. Nunes, T., Mavridis, N., & Iliadis, L. (2019). Big Data Analytics in Healthcare: Concepts, Methodologies, Tools, and Applications. Springer. Jorge, Maria Salete Bessa, Thereza Maria Magalhães Moreira, Adriano Rodrigues de Souza, and Damião Maroto Gomes Júnior. 2023. Os labirintos da gestão, práticas, modelos de protocolo e financiamento em saúde. Amplla Editora.
- Data and Technology Management in Health
- 7055
- 6637
- Traineeship II
- ISLA Santarém7055-6637
- 2
- 8
- 1256
- 25
- Sim
- Português
- The internship will be face-to-face, using the following methodologies: MET 1. Active methodologies: observation of data collection and processing processes in a health context. MET 2. Reading the recommended bibliography. This will serve as a basis for writing the final internship report. MET 3. Tutorial guidance during the internship
- Optional
- This curricular unit offers students the opportunity to integrate and apply the theoretical knowledge acquired throughout the course in real professional environments. Students will have the opportunity to develop essential practical skills in the area of health data and technology management. The following learning objectives are proposed: O1. Apply the principles of data and technology management in healthcare in real professional environments. O2. Develop practical skills in the use of health information systems and health data management. O3. Demonstrate the ability to select the appropriate techniques and methods for carrying out the proposed activities. O4. Draw up reports following the rules of scientific writing.
- 1. Health Data Management. 1.1 Stages of data management (collection, storage, processing). 1.2 Analysing the life cycle of data from its origin to its use for decision-making. 2. Data processing and analysis. 2.1 Data processing and handling practice, including processing, organising and transforming data. 2.2 Apply data analysis techniques to extract relevant insights and patterns, using statistical and data visualisation tools. 3. Presentation of Results and Conclusions. 3.1 Developing skills in the clear and objective presentation of data and conclusions, using different formats such as reports, presentations and dashboards. 3.2 Drawing up critical analyses and interpretations of the indicators relevant to the process observed, highlighting strengths and possible points for improvement.
Avaliação Curricular (contínua e presencial):
Esta modalidade de avaliação é constituída por:
AVAL 1. Participação ativa na realização das atividades propostas no estágio. AVAL 2. Redação do relatório de estágio.
A classificação final é calculada através da fórmula Classificação Final = 0.4*A1+0.6*A2. O estudante é aprovado se obtiver classificação igual ou superior a 9.5 valores em 20.
Avaliação Final (A) (presencial em qualquer época de avaliação): O estudante apresenta o relatório final de estágio (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9.5 valores em 20.
- Semestral
- Details
- Category: Discipline
- Cateora, P., Graham, J., Gilly, M., Money, B., & Cateora, G. (2024). International Marketing (19th ed.). New York: McGraw-Hill Higher Education. Doodle, I., Lowe, R. & Kenyton, A. (2022) International Marketing Strategy: Analysis, Development and Implementation (9th ed.). Hampshire: Cengage Learning EMEA. Gillespie, K & Swan, S. (2022). Global Marketing. Routledge. Hollensen, S. (2021). Global Marketing (8th ed.). Harlow: Pearson
- Marketing
- 7153
- 3321
- International Marketing
- ISLA Santarém7153-3321
- 2
- 5
- 0
- 25
- Não
- Português
- The teaching methods combine synchronous online sessions, in-person theoretical and practical classes, tutorials, and independent study. In the online sessions, the focus is on presenting and demonstrating concepts to promote understanding of the material. In-person classes focus on practical application through case studies, encouraging active participation, analysis, synthesis, and creativity. Active teaching methodologies, such as the Flipped Classroom, are also used, incorporating videos and other materials made available in advance to prepare for practical activities. Independent work includes research, consolidation of content, and completion of assignments posted on the Moodle platform. The instructor monitors student progress through tutorial guidance and feedback, either in person or asynchronously on Moodle. Students can also use the Philix.ai virtual tutor for additional support.
- Mandatory
- O1. Develop a critical awareness of how to address the challenges of a globalized environment. O2. Identify the main internationalization models. O3. Develop competitiveness strategies in a global environment. O4. Identify and manage cultural differences in a multicultural environment. O5. Recognize the nuances of the international marketing plan. O6. Identify internationalization models and their different characteristics. O7. identify and develop competitive advantages applicable in an international environment. O8. Develop an international marketing plan that can be applied in a business environment. O9. Master the strategies for managing and controlling international marketing plans.
- 1 Introduction to international trade. 2. Theories and models of internationalization. 3. Development of the company's international competitiveness. 4. International marketing strategies. 5. Innovation and the development of competitive advantages in a global environment. 6. Entry modes, drivers and barriers to internationalization. 7. Marketing mix in a multicultural environment. 8. The international marketing plan. 9. Planning, managing and controlling marketing activities in a global environment.
Avaliação Curricular (contínua):
A1. Portfólio de estudos de caso resolvidos ao longo das aulas (grupo). Relatórios escritos submetidos na plataforma LMS Moodle.
A2. Teste final (individual). Teste escrito no final do semestre.
A classificação final é calculada através da fórmula Classificação Final = 0,5*A1+0,5*A2. O estudante é aprovado se a classificação final for igual ou superior a 9,5 valores em 20.
A classificação mínima na avaliação curricular (continua) a aplicar é a seguinte:- Portfólio de exercícios de aula: 10 valores- Teste final: 8 valores
Avaliação Final ou em Época de Recurso e Época Especial (A)
Hipótese 1:
A1. Portfólio de estudos de caso resolvidos ao longo das aulas (grupo). O estudante realizou o portfólio no qual obteve nota positiva (incluindo na componente de avaliação individual: mantêm a classificação obtida em todas as épocas em que se sujeitar a avaliação.
A2. Teste final (individual).O estudante realiza o teste individual escrito.
A classificação final é calculada através da fórmula utilizada na avaliação curricular (contínua).
Hipótese 2:
A1. Portfólio de estudos de caso resolvidos ao longo das aulas (grupo). O estudante não realizou o portfólio ou obteve nota negativa (incluindo na componente de avaliação individual.
Nestas circunstâncias o estudante realiza o Exame escrito completo (A=100%) e fica aprovado se obtiver uma classificação igual ou
superior a 9,5 valores em 20.- Semestral
