- Details
- Category: Discipline
- Não
- _
- Semestral
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
Realização de exercícios/trabalhos em aula
várias datas
40%
Projecto final
Final do semestre
60%
(...
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...
- _
- _
- Mandatory
- _
- Português
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer
- 4
- 0
- 4
- 1
- IPLUSO6382-23084
- Data Science Foundations
- 23084
- 6382
- Computer Applications for Data Science
- Details
- Category: Discipline
- Não
- The teaching methdology is the communicative approach. The objective is to integrate the specific skills of written and oral comprehension, speaking and writing in order to provide students with the possibility of developing and consolidating their use of English in the several topics proposed. The students will also have the opportunity to consolidate their grammar knowledge.
- Semestral
Elementos
Data
Ponderação
1.º teste escrito
2.º teste escrito
27/10/2025
15/12/2025
30%
30%
Apresentação oral
12/01/2026
30%
Assiduidade e participação
-
10%
- 1. English "lingua franca" and use of English difficulties: phrasal verbs, tenses, prepositions, articles, relative clauses 2. Organizational/hierarchical structure of companies: positions /responsibilities, departments, labour relations, leading and motivating. 3. Oral communication: on the phone, presentations, interviews 4. Written communication: structuring texts (emails, memos, reports) 5. Translation problems: Brithis English vs. American English, false friends, polysemy 6. Technical English: technology and machines, future challenges
- The main skills to be acquired are: the ability to communicate in writing and orally fluently, clearly and appropriately in English in a professional context; the ability to participate in meetings, make presentations and speak on the phone, in a clear and well-structured way, using vocabulary and linguistic strategies appropriate to the situations and problems faced; the ability to prepare, analyse and discuss written documents.
- Mandatory
- The use of technology is considered as innovative methodology to support the teaching-learning process.
- Português
- Glendinning, Eric H. (2007). Oxford English for Careers Technology 1 Student´s Book. Oxford: Oxford University Press. Jacob, Miriam & Strut, Peter (2009). English for International Tourism. 17ht Edition. London: Longman. Vince, Michael (1998). Advanced Language Practice. London: Macmillan Heinemann.
- 4
- 0
- 3
- 1
- IPLUSO6382-12561
- English
- 12561
- 6382
- Computer Applications for Data Science
- Details
- Category: Discipline
- Não
- The course "Introduction to Operating Systems" aims to provide a solid foundation on the functioning and management of operating systems, covering areas such as process management, memory, storage, and file systems. This course is essential for understanding the interaction between hardware and software, as well as for developing skills in system administration, software development, and cybersecurity. Its relevance is reinforced by the versatility of the knowledge acquired, which serves as a foundation for advanced subjects and for professional performance in areas such as software engineering, network administration, and system monitoring. This course prepares students to face contemporary technological challenges, offering a critical and technical perspective on system efficiency and robustness.
- Semestral
Descrição
Data limite
Ponderação
Trabalhos práticos
ultima semana de aulas
50%
Testes práticos
ultima semana de aulas
50%
Exame de recurso Época de recurso
100%
Cada avaliação tem uma nota minima de 8 Valores. A média final dos trabalhos e testes práticos terá de ser no minimo 10 valores.
- Introduction to Operating Systems: Definition, functions, and types. Structure and Architecture: Kernel and hardware-software interaction. Process Management: Processes, threads, scheduling, and synchronization. Memory Management: Physical and virtual memory, paging, and segmentation. File Systems: Structure, types, operations, and permissions. Device and I/O Management: Controllers, buffers, and DMA. Storage: Hierarchy, disks, SSDs, and RAID. Security: Policies, access control, and vulnerabilities. Virtualization: Virtual machines, hypervisors, and containers. Mobile Operating Systems: Differences and resource management.
- The learning objectives of the "Introduction to Operating Systems" course are to provide students with knowledge of the fundamental principles of operating systems, covering areas such as process management, memory, storage devices, and file systems. Students will develop the ability to analyze and solve problems related to the administration and configuration of operating systems, as well as to interpret system logs and optimize system performance. This course also aims to equip students with the skills to efficiently administer and monitor operating systems, apply security concepts, and adapt to different platforms and environments such as Windows, Linux, and others. As a result, students will be prepared to face the challenges of the job market, with a technical and critical understanding of the architecture, operation, and security of operating systems.
- Mandatory
- The course combines slide presentations with practical work, such as operating system installations, to integrate theory and practice. The slide presentations facilitate the understanding of theoretical concepts, while the practical tasks allow students to apply this knowledge in real-world scenarios, such as the installation and configuration of operating systems (Windows, Linux, etc.). This practical approach promotes the development of essential technical skills and problem-solving abilities, ensuring an active and interactive learning experience.
- Português
- Silberschatz, A., Galvin, P. B., & Gagne, G. (2020). Operating system concepts (10th ed.). Wiley. ISBN 978-1-119-32091-3 Tanenbaum, A. S., & Bos, H. (2015). Modern operating systems (4th ed.). Pearson. ISBN 978-0-13-359162-0 Stallings, W. (2018). Operating systems: Internals and design principles (9th ed.). Pearson. ISBN 978-0-13-467095-9
- 4
- 0
- 4
- 1
- IPLUSO6382-13127
- Introduction to Operating Systems
- 13127
- 6382
- Computer Applications for Data Science
- Details
- Category: Discipline
- Não
- This Curricular Unit aims to provide a solid understanding of the fundamental concepts of Probability Theory and Statistics, with a focus on the applications of the CTeSP course in Computer Applications for Data Science. Students are introduced to the necessary mathematical formulation and to statistical and probabilistic tools that enable them to solve problems related to data analysis, information synthesis, statistical inference and hypothesis testing. In addition, the course highlights the importance of studying and modeling theoretical and sampling distributions, promoting the deepening of knowledge through the practical application of real cases. This approach reinforces the relevance of the curricular unit in the context of the higher vocational-technical course in which it is integrated, preparing students to face challenges related to the analysis and interpretation of data in the real world.
- Semestral
Descrição dos instrumentos de avaliação testes e trabalho prático com respetivas datas de entregae e apresentação. Ponderação na nota final.
Descrição
Data limite
Ponderação
Primeira frequência (1/ 2)
25-11-2025
40%
Segunda frequência (2/ 2)
12-01-2025
40%
Monografia
A definir
10%
Assiduidade 10% - Description of contents Probability Theory Random Variables and Distribution Functions Expected Values and Parameters Theoretical Distributions Sampling and Sampling Distributions Parametric Estimation Estimation Methods Confidence Intervals and Regions Significance Tests Tests of Hypothesis Analysis of Variance
- Understand the fundamental concepts of Probability theory. Evaluate random variables (ordinal, discrete, and continuous) and their associated distribution functions. Apply and evaluate the use of different theoretical and sampling distributions. Develop skills associated with sampling and estimation techniques. Enable students to conclude on the significance and reliability of data analysis scenarios. To teach and systematize hypothesis testing and analysis of variance methodologies.
- Mandatory
- This course has two assessment methods: Continuous Assessment and Non-Continuous Assessment. 1. Continuous Assessment: The Continuous Assessment of this Curricular Unit is made up of two frequencies (F1 and F2), attendance (A) and a paper (P). The final mark is calculated as the arithmetic mean of the frequencies (NF = 0.4 * F1 + 0.4 * F2 + 0.1 * A + 0.1 * P). 2. Non-continuous assessment: Students can opt for a final exam. As an innovative methodology to support the teaching-learning process, this curricular unit incorporates the transposition of all theoretical material into the JAMOVI programme. JAMOVI is a freely accessible tool capable of mathematically and graphically supporting databases that can be described and interrogated as the syllabus of the lectures progresses. Migration of theoretical concepts to Python for the creation of descriptive statistics workflow.
- Português
- Murteira,B., Antunes, M (2012) Probabilidades e Estatística, Vol I. Escolar Editora (ISBN: 9789725923559 Murteira,B., Antunes, M. (2012) Probabilidades e Estatística, Vol II. Escolar Editora (ISBN: 9789725923597) Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15
- 4
- 0
- 6
- 1
- IPLUSO6382-620
- Probabilities and Statistics
- 620
- 6382
- Computer Applications for Data Science
- Details
- Category: Discipline
- Não
- This curricular unit aims to motivate students to face their university education from a perspective related to the job market, in terms of Computer Applications for Data Sciences. It is also intended to provide students with some transversal skills, considered relevant to their academic and professional path.
- Semestral
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
Apresentação, analise e discussão de um artigo académico no âmbito do empreendedorismo
05-01-2026
25%
Teste
12-01-2026
35%
Trabalho de grupo
19-01-2026
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...
- CP1. General hardware/software concepts, existing in a computer CP2. Production of technical/scientific documentation CP3. Standardization in Engineering CP4. Ethics and deontology in the engineering profession CP5. Data protection regulations CP6.Softskills CP7. Job search techniques CP8. Innovation and entrepreneurship
- LO1: Provide students with skills in hardware, which is the basis of computer systems LO2: Provide students with skills in the field of technical-scientific documentation production OA3: Foster good engineering practices, through the adoption of available standardization, including the one foreseen, within the scope of data protection LO4: Promote the use of ethics, and its importance for the good conduct of the engineering professional LO5: Promote the understanding of softskills and their importance in the social context, and in particular, for the professional's success in the job market. LO6: Provide students with techniques that facilitate the search for a job, according to their expectations LO7: Promote a taste for entrepreneurship, as well as its importance for economic activity, namely through innovation and industrial property in the development of new products, as well as in the creation of new companies
- Mandatory
- Also include innovative methodologies to support the teaching-learning process used
- Português
- (1)Duarte, C., Esperança, J.P., (2014), "Empreendedorismo e Planeamento Financeiro", Edições Silabo, 2ª Ed. (2)Shriberg, A. & Shriberg (2018), "The Harvard Business Review Entrepreneur’s Handbook: Everything You Need to Launch and Grow Your New Business”, Harvard Business Review Press, 1st Ed., USA. (3)Bynum, T., Computer Ethics And Professional Responsibility Introductory Text And Readings, Blackwell Publishers (4)Peixe, R.(2013),”Emprego bom e já! - Guia Prático”, 1ª Edição, Vida Economica (5)RGPD - Regulamento (UE) N.º 2016/679, de 27 de abril de 2016 (6)Folhas de apoio disponibilizadas pelo docente na área do empreendedorismo (7)Serão ainda disponibilizados aos estudantes material de apoio complementar (e.g. links, blogs, vídeos) no âmbito das matérias lecionadas.
- 4
- 0
- 4
- 1
- IPLUSO6382-23551
- Soft Skills for Technology
- 23551
- 6382
- Computer Applications for Data Science
