- Details
- Category: Discipline
- Creative Technologies
- 6332
- 23244
- New Media
- ISMAT6332-23244
- 1
- Bachelor
- 2
- 0
- 12
- Não
- Português
- EN
- DAAD - Department of Architecture, Arts and Design
- Semestral
- Details
- Category: Discipline
- Tourism Management
- 6029
- 21640
- Seminars - Tourism and Hospitality Management
- ISMAT6029-21640
- 3
- 5
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Alves, M. L. (2011). “As fronteiras do tempo de trabalho”, in Fernandes, António Monteiro (org.), Estudos de Direito do Trabalho. Coimbra. Almedina, pp. 165-257. Antunes, V. L. S. (2010). O Contrato de Trabalho na Administração Pública – Evolução, reflexos e tendências para o emprego público. Coimbra. Wolters Kluwer Portugal / Coimbra Editora. Carvalho, A. V. (2021). A relação jurídica de emprego público: contributo para o estudo e sistematização da relação de emprego público, em especial, do contrato de trabalho em funções públicas”, 1ª ed. Coimbra. Gestlegal Pires, Miguel Lucas (2021). Lei geral do trabalho em funções públicas: anotada e comentada, 4ª ed. Coimbra. Almedina Salgado, Catarina (2020). “A formação do contrato de trabalho em funções públicas”. O Direito, a. 152, nº 2, pp. 357-394 Sousa, R. C. (2019). Lei geral do trabalho em funções públicas: anotada e comentada. Legislação complementar. Lei nº 34/2014, de 20 de junho, 2ª ed. Porto. Vida Económica
- Labor and Social Security Law
- 6852
- 25582
- The Public Service Employment Contract
- ISMAT6852-25582
- 1
- 5
- 1163
- 12
- Não
- Português
- The curricular structure of this unit includes an inter and multidisciplinary training, providing students and participants of the same with the identification of strategies and problem solving, combining training in traditional areas with the teaching of content in emerging and avant-garde topics such as the contract. of work in public functions. In this sense, the use of methodologies and techniques of investigation and writing of texts, in particular, research works, and legal opinions will be a constant.
- Optional
- It is intended that, after completing this cycle, the student will be able to exercise with competence, rigor, critical and innovative spirit, juridical activity, and consulting in contextualized knowledge of law is an asset. For this, a higher-level legal training will be provided, which will guarantee, through the development and deepening of the knowledge to be transmitted, the acquisition of new knowledge in public contracting, considering its study as a platform for an eventual adequate professional insertion. to the diverse demands of the labour market. It is also intended that the student acquire skills that allow him to continue his studies oriented towards scientific research, namely a possible third cycle of studies.
- 1. Public administration and its principles. 2. The employment relationship and employment in public functions: modalities. 3. Public employment. 4. Public employment contract by commission, by appointment, by employment contract in public functions, for a resolutive term and for an indefinite period. 5. The provision of work: activity, place of work, careers, performance evaluation; mobility. 6. Working and non-working times. 7. In-service accidents. 8. Changes in the public employment relationship. 9. Exercise of disciplinary power. 10. Termination of public employment relationship. 11. Collective law: specifics in relation to the common labour regime.
A classificação dos estudantes pode resultar da avaliação de um trabalho/ensaio/artigo escrito e respetiva apresentação em aula e a participação na aula ou um ou vários elementos escritos a desenvolver ao longo do período de aprendizagem relativos aos conteúdos programáticos nos quais se reflete e analisa temas selecionados e enquadrados nos conteúdos programáticos.
Exemplo:
Descrição
Data limite
Ponderação
Ttrabalho de avaliação
dd-mm-yyyy
30%
Portfolio
dd-mm-yyyy
40%
(...)
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 syllabus now proposed was designed according to two fundamental purposes: the development, deepening and the specialization of knowledge in specific areas of law, specifically, the employment contract of the function publish.
- Details
- Category: Discipline
- Business Management
- 490
- 1400
- Option I
- ISMAT490-1400
- 2
- 5
- 898
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Aggarwal, C. C., Reddy, C. K. (eds.) (2014), Data clustering: Algorithms and Applications. Boca Raton: CRC Press. Hair, J.F., Tatham, R.L., Anderson, R.E. & Black, W. (2009). Análise multivariada de dados. (6ª ed.). Porto Alegre: Bookman. James, G., Witten, D., Hastie, T., Tibshirani, R. (2013), An Introduction to Statistical Learning: with applications in R, New York: Springer. Maindonald, J. & Braun, W. J. (2010). Data analysis and graphics using R: an example-based approach. (3rd ed.). United Kingdom: Cambridge University Press.
- Data Science
- 6321
- 23085
- Multivariate Analysis and Unsupervised Learning
- ISMAT6321-23085
- 2
- 8
- 0
- 12
- Não
- Português
- The teaching methodology includes the expository method (TM1) to present the contents, the demonstrative method (TM2) to illustrate its application to practical cases and the active method (TM3) for solving exercises with R and searching for solutions to proposed problems (problem based learning). Real datasets and statistical and machine learning software are used to explore patterns, cluster observations and interpret multivariate data structures.
- Mandatory
- At the end of this course unit, students should be able to: LO1: Characterize and correctly interpret multivariate data; LO2: Identify the multivariate data analysis techniques appropriate to each type of problem and the nature of the data; LO3: Apply multivariate techniques to reduce data dimensionality; LO4: Apply cluster analysis techniques; LO5: Use computational resources, such as R, Python and SAS.
- S1: Random vectors. Mean vector and covariance matrix S2: Visualization of multivariate data S3: Multivariate normal distribution S4: Dimensionality reduction techniques: principal components analysis, factor analysis and correspondence analysis S5: Hierarchical and non-hierarchical clustering methods S6: Using software, such as R, Python and SAS
A avaliação de conhecimentos é feita por avaliação contínua ou por prova escrita de exame final. A avaliação contínua inclui a realização de um teste escrito (50%) e um trabalho de grupo (50%).
- Semestral
- The curricular unit Multivariate Analysis and Unsupervised Learning belongs to the scientific area of Statistics and Data Science and addresses methods for multivariate data analysis and pattern discovery in datasets without a response variable. It develops skills in dimensionality reduction, clustering and the interpretation of complex data structures.
