- Details
- Category: Discipline
- Chaffey, D., & Ellis-Chadwick, F. (2022). Digital Marketing (8th ed.). Pearson. Gouveia, M. (2022). Marketing Digital - O guia completo. Ideias de Ler. Kingsnorth, Simon (2022). Digital Marketing Strategy - An Integrated Approach to Online Marketing. KOGAN PAGE LTD 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
- Business Processes and Operations Management
- 1860
- 15868
- E-Marketing and Electronic Commerce
- ISLA Santarém1860-15868
- 3
- 7
- 0
- 25
- Não
- Português
- In-person: 1. Theoretical/practical classes: presentation of concepts, discussion, and application of program content in various contexts. 2. PBL-based learning - Problem/Project-based learning Independent: 3. Consolidation of content taught in class through additional research on the different topics and content covered and development of complementary work.
- Mandatory
- The objectives of the curricular unit are: O1. Presenting the historical evolution of e-commerce; O2. Know the current context of e-commerce and e-marketing; O3. Presenting models e-commerce; O4. Discuss the consequences for companies that want to participate in this new channel for customer relationships and in particular with regard to the mobile business; O5. Provide students with the knowledge to develop a business plan to implement the e-commerce; At the end of the course students should be able to: C1. Demonstrate skills for the development of an e-marketing strategy; C2. Develop a business plan for the implementation of e-commerce.
- 1. Electronic commerce - characterization, historical development and current situation 2. The electronic business - organizational impact, the network economy 3. Business models in the context of Web 2.0 4. The e-business reengineering of business processes - the automation of back-office 5. E-business plan 6. The mobile business - characterization, major applications, mobility 7. E-marketing - the new paradigm 8. E-marketing strategies - tools and applications 9. E-mail marketing - key features, strategies and implementation 10. The social media marketing - current importance and main tools
Avaliação curricular (contínua):
A avaliação curricular é composta pela realização de dois trabalhos de grupo, em que são aplicados os principais conteúdos programáticos.
Fórmula de cálculo:
- T (Trabalho 1) – 40%
- T (Trabalho 2) – 60%
Todos os estudantes que neste regime de avaliação tenham obtido média inferior a 9,50 valores são avaliados em avaliação final.
Avaliação final:
Nas épocas normal, de recurso e especial a avaliação será orientada pelos mesmos objetivos e baseia-se num exame (100%) integrando a componente teórica e a componente prática da unidade curricular.- Semestral
- The course covers the historical evolution and current context of e-commerce and e-marketing, presents e-commerce models, and discusses their implications for companies, enabling students to develop e-marketing strategies and draw up a business plan for the implementation of e-commerce.
- Details
- Category: Discipline
- Engineering Work Safety
- 1210
- 505
- Mathematics II
- ISLA Santarém1210-505
- 1
- 6
- 0
- 25
- Não
- Português
- Semestral
- Details
- 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
- Tourism Management (ISLA Santarém)
- 2340
- 13030
- Data Analysis and Processing
- ISLA Santarém2340-13030
- 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 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.
- Details
- Category: Discipline
- Aggarwal, C. C. (2021). Artificial Intelligence A Textbook. Springer. Russell, S., & Norvig, P. (2021). Artificial intelligence: a modern approach. Pearson. Teoh, T. T., & Rong, Z. (2022). Artificial Intelligence with Python. Springer. Chopra, D., & Khurana, R. (2023). Introduction to Machine Learning with Python. Bentham Science Publishers.
- Artificial Intelligence
- 7052
- 24452
- Introduction to Artificial Intelligence
- ISLA Santarém7052-24452
- 1
- 5
- 0
- 25
- Não
- Português
- Mandatory
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
Prova de Avaliação de Conhecimentos Escrita (Individual)
08-01-2026
45%
Trabalho Prático (Grupo)
22-01-2026
45%
Atividades Práticas em contexto de Sala de Aula
10%
No momento de avaliação "Atividades Práticas" está previsto a execução dos mesmos predominantemente em aula, com aviso prévio.
- Semestral
- Details
- Category: Discipline
- Badger, I. & Menzies, P. (2005). Business Life. London. Marshall Cavendish Education. Brooks, Bessie (2013). A Guide To English Grammar: Conjugation of Verbs Volume 1, 2 and 3, Xisbris Corporation. Denham, K. & Lobek, Anne (2013). Navigating English Grammar - A Guide To Analyzing Real Language, John Wiley and Sons Ltd. Evans, V., Dooley, J. & Wright, S. (2012).Career Paths: Information Technology, UK. Express Publishing. Swan, Michael & Walter C. (2007). How English Works: A Grammar Practice Book (With Answers), Oxford University Press.
- Quality, Environment and Safety Management
- 1993
- 12561
- English
- ISLA Santarém1993-12561
- 1
- 5
- 0
- 25
- Não
- Português
- In presence: 1. Theoretical/practical classes: presentation of concepts; discussion of programme contents; textual interpretation; resolution of grammatical and lexical exercises using digital tools (RED). 2. Practical classes: conversational situations; simulation of real situations; discussion of topics; brainstorming; researching information and presenting/discussing it, using digital tools (AI); solving exercises either in an intranet environment or using paper support. Autonomous: 3. Inverted classroom dynamics with information research for application in the classroom context. 4. Consolidation of the contents taught in class by researching additional information and solving exercises on the different themes and contents.
- Mandatory
- O1. Promote the development of oral and written skills. O2. Mobilize previously acquired linguistic knowledge and apply it in new learning situations. O3. Provide the improvement of the English language, adapting it to the socio-professional context. O4. Use the English language as a work and communication tool. O5. Improve the interpretation of scientific and technological matters. Skills and competencies: C1. Develop autonomy in communication, promoting oral and written expression, as well as mastery of grammatical rules and vocabulary. C2. Be able to apply previous linguistic knowledge to new contexts, adapting what has been learned to varied communication situations. C3. Know and practice vocabulary and technical terms related to your area of ¿¿work. C4. Actively apply the English language in work tasks and situations, as a means of communication.
- Content 1. Global communication. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 2 The English language in socio-professional daily life. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 3 The English language and new technologies. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 4. Oral and written communication in English. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 4.1 The formal aspects (phonological, syntactic and lexical-semantic) of the English language system. [O1, O2 and O3; C1, C2 and C3]. Content 4.2 Grammar: verb tenses; If-clauses. [O1, O2 and C1, C2]. Content 4.3 Interpretation and text production. [O1, O2, and O5; C1, C2]. Content 4.4 Planning and development of individual projects in English; written and oral presentation of these projects. [O1, O2, O3, O4 and O5; C1, C2, C3, C4].
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
22-01-2026
50%
Apresentação oral
04-12-2025 35%
Portfolio Ao longo do ano
15%
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
- NA
