- Details
- Category: Discipline
- Krugman, P., Obstfeld, M. e Melitz, M. (2012), International Economics, Addison-Wesley.
- Accounting and Management
- 3564
- 18867
- International Trade
- IPLUSO3564-18867
- 1
- 5
- 0
- 4
- Não
- Português
- The exposition of current news for the applicability and discussion of the theoretical concepts exposed-
- Mandatory
- The student should be able to understand and know how to discuss the main dimensions of the real international economy (trade, IDE, trade policy, critical sectors; international payments; internationalization process).
- 1 Introduction 1.1 Concept, and objectives and scope of International Trade 2. Trade Balance 3. Classical Theories of International Trade 4. Contemporary Theories of International Trade 5. Economies of scale and imperfect competition 6. Analysis of attractiveness and entry into new markets and International Trade 7. Process and forms of Internationalization and International Trade 8. Globalization and International Trade 9. Foreign Exchange Operations and International Trade 10. International Payments
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
1º Teste de avaliação
2º Teste de avaliação
23-04-2026
04-06-2026
35%
35%
Trabalho de Grupo
Entrega 06/06/26 /Apresentação 12/06/26
30%
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
- International Trade curriculum unit aims to provide students with an understandable and up-to-date analytical instrument, necessary to understand the phenomena of globalization of markets and production that currently characterize the world economy. The focus on the forms of internationalization of organizations as well as international payment methods and the functioning of the FOREX market will provide knowledge for the management activity in companies where these issues are relevant.
- Details
- Category: Discipline
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning: with applications in R. Springer. Steele, B., Chandler, J., & Reddy, S. (2018). Statistics for data science: A comprehensive introduction. O'Reilly Media, Inc. Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
- Computer Applications for Data Science
- 6382
- 23558
- Statistics for Data Science
- IPLUSO6382-23558
- 1
- 6
- 0
- 4
- Não
- Português
- The teaching methodology will be based on lectures, practical examples and exercises, as well as the use of data analysis software (e.g. R commander or Jamovi). Students will also be encouraged to develop practical projects involving the analysis of real data, with a focus on interpreting and communicating the results. Assessment will be based on individual and group work, as well as two tests. Students will also be assessed on their ability to apply statistical concepts to real problems and their ability to communicate data analysis results clearly and concisely with appropriate technical terminology.
- Mandatory
- 1. Understand the fundamental concepts of probability and probability distributions; 2. Apply sampling techniques to collect and analyze data; 3. Perform statistical inference, including hypothesis testing and confidence intervals; 4. Perform exploratory data analysis using graphs and descriptive statistical measures; 5. Apply statistical modeling techniques, including linear regression and analysis of variance; 6. Apply multivariate analysis techniques, such as principal component analysis and clustering.
- 1. introduction to statistics and probability 2. Sampling techniques 3. Statistical inference 4. Exploratory data analysis 5. Statistical decision theory, hypothesis tests and significance tests. 6. Theory of small samples. Student's t distribution and Chi square distribution. 7. Curve fitting and the least squares method 8. Statistical modeling 9. Multivariate analysis
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
Primeira Frequência
30-04-2025
40%
Segunda Frequência
11-06-2025
40%
Apresentação de trabalho Fração A
07-05-2025 25%
Apresentação de trabalho Fração B 16-06-2025 25% Participação 10% 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
- This course introduces the fundamental concepts of statistics for data science, including probability distributions, sampling techniques, statistical inference, exploratory data analysis and curve fitting. In addition, the course introduces statistical modeling techniques, including linear regression and analysis of variance, as well as multivariate analysis techniques, such as principal component analysis and clustering.
- Details
- Category: Discipline
- Reis, Elizabeth. (2008). Estatística Descritiva, 7a Ed., Lisboa: Edições Sílado; Barroso, M., Sampaio, E. e Ramos, M. (2010). Exercícios de Estatística Descritiva para as Ciências Sociais. Lisboa: Edições Sílabo
- Information Systems Management
- 6030
- 4944
- Quantitative Methods
- IPLUSO6030-4944
- 1
- 5
- 0
- 4
- Não
- Português
- Case study method Field investigation work Practical exercises in class Use of questionnaire and data analysis technologies such as SPSS, Typeform, Google Forms and Microsoft Excel
- Mandatory
- Deepen the ability to perform intellectual activities that involve mathematical reasoning; Learn to use mathematics and statistics in understanding situations in reality; Develop a critical sense regarding mathematical and statistical procedures and results;
- Concept Review Introduction / The data Data presentation: tables and graphs Frequency distribution Location Measures Dispersion and Concentration Measures Asymmetry and Kurtosis Measures Index numbers Association between two variables / Linear Regression and Simple Correlation Time series Application of statistical methods to the management of I.S. Study of statistics in digital support Statistical tests
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 1
A acordar com os alunos 50%
Teste de avaliação 2
A acordar com os alunos 50%
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
- The subject of Quantitative Methods is part of the field of action of mathematics and statistics. The aim of this discipline is to provide participants with methods and tools that help them in daily operations related to mathematical reasoning and tasks that require quantitative skills, research, analysis and data presentation.
- Details
- Category: Discipline
- Accounting and Finance
- 7157
- 2580
- Strategic Management
- IPLUSO7157-2580
- 3
- 5
- 0
- 4
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Commercial Management
- 6814
- 5029
- Market Studies
- IPLUSO6814-5029
- 2
- 4
- 0
- 4
- Não
- Português
- Semestral
