- Details
- Category: Discipline
- Kaufmann, M., & Meier, A. (2023). SQL and NoSQL databases: Modeling, languages, security and architectures for big data management (2nd ed.). Springer. https://doi.org/10.1007/978-3-031-27908-9 Simon, M. (2023). Getting started with SQL and databases: Managing and manipulating data (1st ed.). Apress. with SQL https://doi.org/10.1007/978-1-4842-9493-2
- Automation and Computer Systems
- 6865
- 1792
- Databases
- IPLUSO6865-1792
- 2
- 4
- 0
- 4
- Não
- Português
- Project-Based Learning (PBL): Students develop practical projects, simulating real market challenges, encouraging the direct application of theoretical content. Virtual Learning Environments: Interactive digital platforms that support the sharing of materials and discussion forums. Peer Learning: Stimulation of collaborative learning, where students teach and learn from each other, strengthening their understanding of the content. Microlearning: Division of content into small units or capsules, facilitating the digestion and retention of information. These methodologies seek to adapt the educational process to the needs and characteristics of students in the digital era, making learning moredynamic, interactive, and effective.
- Mandatory
- Knowledge: Students will acquire a thorough understanding of the fundamental principles of databases, including the architecture of Database Management Systems (DBMS), data models and normalisation practices. Skills: They will develop practical skills in database design, manipulation and querying using SQL and database implementation in real contexts. Competencies: They will be able to analyse and solve problems related to data management, effectively integrating databases, considering aspects of performance, security and scalability. Through this UC, students will be prepared to face contemporary challenges in the area of information management, becoming more complete professionals who are adaptable to market demands.
- Introduction to Database Fundamentals Definition of data, types and uses Definition, importance and applications of databases Ethics, privacy and best practices in the use of databases Ethics, privacy and good use of data General Data Protection Regulation (GDPR) Database Management System (DBMS) DBMS components and architecture Data models Database installation and administration Fundamentals of relational models Relational model: components and properties Conceptual models vs logical models Entity-relationship diagrams SQL Data types DDL, DML and DQL Normalisation Transactions and Integrity Transactions and ACID Properties Control and Access Commands Performance, Indexing, Backup and Restore Databases applied to real contexts and integration with other platforms
Descrição
Data limite
Ponderação
Teste de avaliação
semana de 10 de Junho
30%
Trabalho de Grupo
17-06-2026
40%
Assiduidade, pontualidade e participação em aula
-
10%
Exercicios em aula
-
20%
Cada componente de avaliação tem a nota minima de 8 valores.
- Semestral
- This UC focuses on introducing and consolidating the fundamental concepts of databases, providing students with the necessary skills for the conception, design, implementation, and management of database management systems (DBMS). The scope of this UC ranges from the study of DBMS to data modelling, including standardisation, SQL, and optimisation techniques. Nowadays, where information plays a predominant role, effective information management is imperative, and databases are a crucial tool in this process. In Automation and Computer Systems, the ability to interact, manipulate, and optimise databases is essential. This UC is therefore vitally important in the study cycle, preparing students to face real challenges in the job market by providing them with a solid foundation in information management and integration with development platforms
- Details
- Category: Discipline
- W. K. Grassmann e J.-P. Tremblay, Logic and Discrete Mathematics - A Computer Science Perspective, Prentice Hall, 1996. K. Rosen, Discrete Mathematics and its Applications, MacGraw-Hill, 1999
- Computer Engineering and Applications
- 6615
- 1656
- Discrete Mathematics
- IPLUSO6615-1656
- 1
- 6
- 0
- 4
- Não
- Português
- The teaching methodologies are based on two aspects, namely: Theoretical classes: Expository method, using a board and projector, interspersed with situations of dialogue with students aimed at developing mathematical intuition, critical thinking and the ability to formulate concepts. Theoretical-practical classes: Complementing the subjects studied in the theoretical classes and solving exercises including discussion of the statement, time interval in which students try to solve the exercise on their own, discussion of possible solutions, presentation of a final answer. Some classes are in a computer lab.
- Mandatory
- LO1. Acquire appropriate mathematical foundations and techniques for a better understanding and mastery of the tools to be used by a computer engineer. LO2. Understand and formulate mathematical content with clarity and rigor, applying the knowledge acquired in different scenarios. LO3. Develop logical reasoning expressed by propositional and predicate calculations. LO4. Acquire basic notions about relations, equivalence relations, partially ordered sets, functions and partial functions. LO5. Use and formulate recursive definitions, apply ordinary and structural recursive proof. Apply basic concepts of graph and tree theory.
- S1. Propositional Calculus: Logical Operations. Tautologies and contradictions, correct arguments. Normal shapes. Natural formal system. S2. Calculation of predicates: Predicates. Logical equivalences. Rules of inference for the existential and universal quantifiers. Formal demonstrations. S3. Sets, relations and functions: Basics, binary relations, boolean matrices and properties. Equivalence relations and partially ordered sets. S4. Binary trees, sequences, lists and strings. S5. Graphs: Directed and undirected graphs. Matrix of paths with graphs. trees. Graphs with weights and Dijkstra's algorithm. S6. Python/Octave: Basic notions and application to program themes.
A avaliação engloba duas frequências e um trabalho prático.
A nota mínima para aprovação na disciplina é 10 valores. Se o aluno não obtiver aprovação fará exame final, e a nota da disciplina será o nota desse exame.Descrição
Data limite
Ponderação
1ª Frequência
05-11-2025
40%
2ª Frequência
17-12-2025
40%
Trabalho Final
07-01-2026
20%
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
- Discrete Mathematics is an area of ¿¿mathematics of growing interest to computer sciences, life sciences, telecommunications, electronics, processor industry, integrated circuit design, cryptography and security in communications transmission, automobile traffic systems. The reciprocal influence of discrete mathematics with other areas of mathematics is increasingly visible, as in the case of operational research, algebra, number theory, geometry and topology. Discrete mathematics is divided into two major areas: combinatorics and graph theory. It deals with processes that consist of sequences of separate states, or numerable sets of objects, including, of course, finite sets, with common patterns, in many cases difficult to identify without resorting to its powerful analysis techniques.
- Details
- Category: Discipline
- Ching, Francis; JUROSZEK, Steven, Representação gráfica para desenho e projecto. Barcelona: Editorial Gustavo Gili, 2001. Gill, Robert W. Basic Rendering: Effective Drawing for Designers, Artists and Illustrators, Thames & Hudson, London, 1991. Maslen, Mick. Drawing Projects: An Exploration of the Language of Drawing, London: Black Dog Publishing, 2011. Massironi, Manfred, Ver pelo Desenho. Aspectos técnicos, cognitivos, comunicativos. Lisboa: Edições 70, 2010. Montenegro, Gil, Inteligência Visual e 3D. São Paulo:Edgard Blucher, 2005. Panofsky, Erwin, A perspectiva como forma simbólica. Lisboa: Edições 70, 1993.
- Multimedia Art
- 7147
- 27377
- Project based drawing
- IPLUSO7147-27377
- 1
- 5
- 0
- 4
- Não
- Português
- Through project-based learning and problem-solving learning, it promotes the ability to, on the one hand, integrate knowledge into concrete situations and contexts and, on the other, to have contact with a wide range of graphic possibilities that project-based drawing offers in the context of multimedia art. In this way, the interdisciplinary approach that characterises this degree is also fostered, by proposing drawing activities of visual objects created in the CU of Initiation to Multimedia Art Projects - from the first sketches to the final presentation ('manual' and digital technologies) - but also in the CU of Composition and Lighting.
- Mandatory
- To understand different drawing practices as they relate to the artistic project: drawing as an artwork and drawing as a creative and working process; To assimilate and apply the syntax of visual language, procedures and techniques of spatial representation and project drawing To communicate ideas, spaces, scenarios, environments, the rhythm, gesture and movement in an expressive, effective and rigorous way, integrating objects, human figures and other elements; To develop the methodologies to carry out projects integrated in space, urban or natural, interior or exterior; To innovate the graphic potential of active materials, instruments and supports; To explore new ways of thinking about drawing in space by developing artistic projects that use hybrid and multidisciplinary drawing practices. To reinforce the notion of drawing as plastic research and the driving force behind a progressive autonomy and capacity to renew creative processes.
- 1. Drawing space from direct observation or imagination:: 1.1Freehand linear perspective: basic techniques with 1 or 2 vanishing points of spatial directions and other geometric relationships; circular shapes, objects and figures in space. 1.2 Light and shadow, spatial environment, depth, atmospheric perspective. 2 Project Design 2.1 Work processes and methodologies specific to design drawing and the respective languages of visual communication and documentation. 2.2 Basics of technical drawing applied to artistic or exhibition projects 2.3 Graphic essays in response to artistic projects (contexts, objects, exhibitions, installations, sound) 2. Multidisciplinary drawing practices 3.1 The act of walking (flânerie): movement, travel and wandering in nature or urban space; 3.2 Drawing in space and the specificity of place: three-dimensional drawing; installed drawing; drawing of and with light; large-scale drawing; Landart; ephemeral drawing.
A avaliação é contínua e sumativa, sendo composta por:
-
90% Trabalhos práticos e projectos realizados em aula
-
10% Avaliação contínua, intercalar e final com critérios de assiduidade (75% de presenças), participação e pontualidade.
Os elementos a entregar para avaliação final são os trabalhos originais, e respectivo portfolio, bem como outros elementos produzidos no âmbito da UC (suportes digitais, cadernos de esboços, etc).
A avaliação em época de Recurso ou Especial implica a realização e entrega de todos os trabalhos originais solicitados ao longo da disciplina (60%), seguida de uma prova oral sobre esses mesmos trabalhos (40%).
O/as alunos/as são avaliados segundo critérios gerais:
-
Qualidade do trabalho e resolução criativa e plástica;
-
Compreensão, aplicação e desenvolvimento das técnicas e princípios do desenho de acordo com os conteúdos programáticos
-
Adequação da resposta gráfica aos exercícios propostos e ao projecto desenvolvido.
-
Capacidade de formular questões relativas aos conteúdos programáticos e estabelecer relações críticas entre os mesmos;
-
Competências de desenvolvimento de metodologias de projecto.
Cada trabalho/actividade terá critérios específicos que serão elaborados pelo docente, de ano para ano, partilhando-os com os estudantes na entrega do enunciado.
-
- Semestral
- .
- Details
- Category: Discipline
- Snell, R. (2009). Clinical Neuroanatomy for medical students (7 th ed.). Wolters Kluwer: Lippincott Williams & Wilkins. Seeley, R.; Stephens, T.; Tate, P. (2001). Anatomia e Fisiologia. (3a ed.). Lisboa; Lusodidacta. Sobotta, J. (2000). Atlas de Anatomia Humana (21 th ed.). Rio de Janeiro: Guanabara Koogan. Netter, F. H. (2000). Atlas de Anatomia Humana (2 nd ed.). Porto Alegre: Artmed. Moore, K. L. (2011). Anatomia Orientada para a Cli¿nica Moore (6a ed.). Rio de Janeiro: Guanabara Koogan. Guyton, A. C. & Hall, J. E. (2011). Tratado de Fisiologia Me¿dica (12a ed.). Rio de Janeiro: Editora Guanabara Koogan.
- Pharmacy
- 4003
- 19254
- Neurophysiology
- IPLUSO4003-19254
- 1
- 4
- 0
- 4
- Não
- Português
- In this curricular unit, the Team-based learning (TBL) methodology is used, with tasks carried out in small groups, allowing the development of the ability to analyze and apply theoretical concepts.
- Mandatory
- Transmit a comprehensive and detailed knowledge of the structure of the human nervous system Provide a comprehensive perspective of the nervous system function, with a particular focus on topics relevant to clinical neurosciences. Provide students with the nomenclature of the central nervous system. Understand and realize the interconnection and relationship of the nervous system with other body systems.
- General Setup and organization of the central nervous system and ontogenesis. Neurobiology of neuron and glia. Nerve fibers, peripheral nerves, endings and effector receptors, dermatomes, myotomes, sclerotomes and muscle activity. The spinal cord and ascending and descending tracts. Brainstem. Cerebellum and their connections. Brain. Structure and functional location of the cerebral cortex. Reticular formation and limbic system. Basal ganglia and their connections. Nuclei of cranial nerves, their plants and distribution connections. Thalamus and their connections. Autonomic nervous system. Cerebral meninges or spinal cord. Ventricular system, cerebrospinal fluid and the blood-brain and blood-cerebrospinal fluid barrier. Blood vessels of the brain and spinal cord.
Descrição
Data limite
Ponderação
1º Teste de avaliação teórico
XX-XX-XXXX
25%
1º Teste de avaliação prático
XX-XX-XXXX
25%
2º Teste de avaliação teórico
XX-XX-XXXX
25%
2º Teste de avaliação prático
XX-XX-XXXX
25%
A componente escrita consta de duas frequências escritas e é relativa aos conteúdos teóricos. A classificação mínima em cada frequência é de 8 valores. A componente prática consta duas frequências realizadas durante as aulas. A classificação mínima em cada frequência prática é de 8 valores. A classificação final é calculada a partir da seguinte fórmula: CF = 0,50 T + 0,50 PL. A classificação de todos os instrumentos de avaliação é expressa numa escala de 0 a 20 valores, sendo que o valor ponderado das classificações obtidas em cada componente tem de ser igual ou superior a 9,5 valores, para efeitos de cálculo da classificação final.
- Semestral
- The curricular unit leads students to study brain function from the cellular and synaptic level to the functional and system level. It addresses contents of cellular neuroscience and synaptic essences for the study of different aspects of sensory systems, besides processing and higher order brain dysfunction. Teaching is structured around the development of knowledge of brain function, from the cellular level to functional systems and approaches.
- Details
- Category: Discipline
- Veterinary Nursing
- 6170
- 22425
- Zootecnics
- IPLUSO6170-22425
- 1
- 6
- 0
- 4
- Não
- Português
- Semestral
