- Details
- Category: Discipline
- Pinto A. M. (2007). Fisiopatologia, Fundamentos e Aplicações. Lidel - Edições Técnicas. Mitchell, R. N.; Kumar, V.; Abbas, A. K. & Fausto N. (2006). Robbins Pathologic Basis of Disease. (7th ed.). Philadelphia: W.B. Saunders-Elsevier. McPhee, S. J.; Lingappa, V. R.; Ganong, W. F. & Lange J. D. (2000). Pathophysiology of Disease. An Introduction to Clinical Medicine. (3rd ed.). New York: McGraw-Hill Companies. Phillips, J.; Murray P. & Kirk P. (2001). The Biology of Disease. (2nd ed.). Oxford: Blackwell Science, Ltd. Buja, L.M.; Kruegger G.R.F. & Netter, F.H.; (2005). Netter´s Illustrated Human Pathology. Philadelphia: Saunders-Elsevier. Guyton, A. C & Hall. J. E. (1996). Textbook of Medical Physiology. (9th ed.). Philadelphia: W.B. Saunders Company. Cibas, E. S. & Ducatman, B. S. (2009).Cytology: Diagnostic Principles and Clinical Correlates. (3rd ed.). Saunders.
- Osteopathy
- 4086
- 18986
- Pathophysiology
- IPLUSO4086-18986
- 2
- 5
- 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
- To understand the processes basic and general pathophysiology, integrating and interrelationship-them. Acquired scientific knowledge, with nomenclature correctly and appropriate. Understand the theoretical sequence of the etiology, pathogenesis and clinic, as well as the inverse practice from clinical cases to the etiology. Develop critical thinking skills, apply the interpretation of pathophysiological mechanisms, using the method of learning by problems and the construction and analysis of conceptual maps. To know the concepts of natural history of the disease and differential diagnosis. To integrate and apply the knowledge of the pathophysiology in other curricular units such as clinical and laboratory semiotics and supplementary diagnostic tests.
- General mechanisms of disease The cellular adaptation to disease Cell injury and death Cancer Immune Diseases Inflammatory reaction Infectious Diseases Pathophysiology of the Blood and Hemostase Cardiovascular pathophysiology Heart inadequacy Ischemic disease Hypertension Atherosclerosis Vascular Diseases Shock Gastrointestinal pathophysiology Lung pathophysiology Renal pathophysiology Endocrine Dysfunctions Diseases of the hypophysis and of the thyroid Diseases of the suprarenal gland Endocrine pancreas and metabolic regulation: diabetes mellitus Pathophysiology of male or female reproductive system Special pathophysiology Dermatopathology Bone pathology Pathophysiology of pain - sensorial and motive Diseases Pathophysiology of the nervous system. Cerebral vascular diseases Pathophysiology of aging
Descrição
Data limite
Ponderação
1ª Frequência Teórica
XX-XX-XXXX
25%
1ª Frequência Teórico-Prática
XX-XX-XXXX
25%
2ª Frequência Teórica
XX-XX-XXXX
25%
2ª Frequência Teórico-Prática
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 teórico-prática consta de 2 momentos de avaliação realizados durante as aulas. A classificação mínima em cada frequência teórico-prática é de 8 valores. A classificação final é calculada a partir da seguinte fórmula: CF = 0,50 T + 0,50 TP. 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.
- Semestral
- Pathophysiology studies disordered or altered functions - the physiological mechanisms altered by disease in the living organism. This area of biomedical science allows: Identify the etiology of the disease and explain how it develops. Identify the mechanisms responsible for the onset, progression and recovery of the disease. Identify the mechanisms responsible for the development of symptoms and signs of the disease. By understanding the causes and mechanisms of the disease, it will be possible to influence the course of disease evolution rationally.
- Details
- Category: Discipline
- Ferreira, D., Caldeira, C., Asseiceiro, J., Vieira, J., Vicente, C., 2019, “Contabilidade de Gestão - Estratégia de custos e de resultado”. 2ª Edição. Rei dos Livros, ISBN 9789898823892. Martins, A., Santos, L., Gomes, C., Malheiros, C., 2022, “Contabilidade de Gestão Aplicada ao Turismo”, Editora Almedina, ISBN 9789894007852.
- Tourism Business Management
- 6331
- 5017
- Management Accounting
- IPLUSO6331-5017
- 3
- 5
- 0
- 4
- Não
- Português
- It is intended that students combine theoretical knowledge with the practical application of the concepts learned, given the high adherence of the themes of the syllabus to organizational reality. Thus, the teaching methodology is based on the following vectors: a. Exposition of themes with exemplary framework providing a participatory intervention of students; b. Resolution of cases of practical application, in group or individually, with presentation and / or collective resolution; c. Research and individual study for class preparation or case studies.
- Mandatory
- 1 - Understand the leading role of management accounting and its importance for different levels of management in the production of information in order to support managers in business management activities. 2 - Understand the different components of production costs, their processes and their accounting, taking into account their rationalization. 3 - Understand and apply the different costing techniques and accumulation and allocation methodologies for costing and valuation for inventory valuation, pricing and profitability assessment. 4 - Raise awareness of complementary costing systems, aiming to define a costing system appropriate to the business of each company
- 1 - Scope and Objectives of Management Accounting; 2 - Classification of Expenses; 3 - Clearance of Production Costs and Manufacturing Process; 4 - Departmentalization of Expenses; 5 - Design of Management Accounting Systems.
A aquisição de conhecimentos e competências será aferida através dos seguintes elementos e da respetiva ponderação:
- 1.º Teste: 35%
- 2.º Teste: 35%
- Trabalho de Pesquisa individual: 25%
- Participação em aula (exercícios práticos ou exposição de temas): 5%
Serão aprovados os alunos que tiverem nota final igual ou superior a 10 valores nos elementos de avaliação contínua acima indicados.
Caso não sejam aprovados, terão de efetuar prova de exame normal e, no caso de não aprovação nesta, poderão realizar exame de recurso.
- Semestral
- This curricular unit aims to provide fundamental knowledge and the application of management accounting techniques, with the objective of elaborating information to support the decision-making process of managers.
- Details
- Category: Discipline
- . Blair, P. (2020) Cartoon Animation with Preston Blair, Revised Edition: Learn techniques for drawing and animating cartoon characters. Walter Foster Publishing. . Denis, S. (2010). O Cinema de Animação. Edições Texto & Grafia. . Enns, A. (2022). Time-Critical Animation: Comics, Cartoons, Computers. Journal of Science and Technology of the Arts, 14(3), 11-28. . Luz, F. C. (2009). Animação digital: reflexos dos novos medias nos conceitos tradicionais de animação. In VIII Congresso LUSOCOM. Lisboa (pp. 919-936). . Mateu-Mestre, M. (2010). Framed Ink: Drawing and Composition for Visual Storytellers. Design Studio Press. . Riley, C.(2021). The Hollywood Standard - Third Edition: The Complete and Authoritative Guide to Script Format and Style. Michael Wiese Productions. . Rousseau, D., e Phillips, B. (2013). Storyboarding Essentials: SCAD Creative Essentials (How to Translate Your Story to the Screen for Film, TV, and Other Media). Watson-Guptill.
- Drawing
- 6947
- 15914
- Digital Animation
- IPLUSO6947-3-15914
- 1
- 5
- 1187
- 4
- Não
- Português
- The teaching/learning process adopts a theoretical-practical approach based on the demonstration of real and practical examples; in direct contact with the technologies necessary to produce narrative and/or experimental animated short films using digital drawing; in the development of work methodologies, research, and creative processes; in the collective critical analysis at the end of classes about all the work done.
- Optional
- Acquire knowledge and artistic and technical competences in movement-image through narrative animated digital drawings. Animate forms and characters with digital techniques and methodologies. Develop competences in sequence drawings in non-linear video editing software, and export files. Analyze, interpret, and decode animated sequences through their narrative, moving and visual elements. The exercises and the animation project allow to continuously stimulate the production capacity of audio-visual content, as well as the acquisition of knowledge and skills in the interpretation and exploratory graphic creation of concepts and ideas. The approach to syllabus contents through the development of the project allow the continuous mobilization of technical knowledge and skills and facilitates the acquisition of vocabulary and methodological skills, leading to an easier integration into the labour market and collaborative projects.
- NARRATIVE AND/OR EXPERIMENTAL SHORT FILM Short animation and promotion . Historical and conceptual notions: vision persistence, optical toys, chronophotography, animation, cinema; . Application of specific skills in the various production stages of a short film (pre-production, production, post-production, dissemination and promotion); . Creation of narratives (logline), characters (character sheet and turnaround) and scenarios (appropriate for the parallax effect); . Script (Hollywood standard) and Storyboarding; . Development of animated sequences (walking cycle, lip sync, keyframes and inbetweens); . Animation in non-linear editing software; . Open-source soundtrack, dialogs, sounds and sound effects (foley); . Typography for animation (open and end credits); . Export to small and large screens and web publishing; . Supports and strategies for communication and dissemination in print and on the web (poster and trailer).
Esta UC segue um método de avaliação contínuo e presencial.
Ponderação da Avaliação:
Logline e guião: 10%
Character sheet e turnaround, cenários e storyboard: 20%
Curta-metragem animada: 50%
Cartaz e trailer: 10%
Avaliação contínua: pontualidade, participação e assiduidade: 10%
De acordo com o Regulamento de Avaliação da IES, é mandatório que os estudantes cumpram com um requisito de presença mínima nas aulas para aprovação na unidade curricular. A falta de cumprimento desta exigência resultará na necessidade de prestação de exame.
Exame de Recurso:
O exame de recurso será dividido em duas partes: um exame prático que contará 50% e a apresentação de todos os trabalhos realizados ao longo do semestre, que também terá um peso de 50%.
This UC follows a method of continuous and in-person evaluation.
Assessment Weighting:
Logline and script: 10%
Character sheet and turnaround, backgrounds, and storyboard: 20%
Animated short film: 50%
Poster and trailer: 10%
Continuous assessment: punctuality, participation, and attendance: 10%
In accordance with the Assessment Regulations of the Higher Education Institution, it is mandatory for students to meet a minimum attendance requirement for passing the course unit. Failure to comply with this requirement will necessitate taking an examination.
Resit Exam: The resit exam will be divided into two parts: a practical exam accounting for 50% and the presentation of all works completed throughout the semester, which will also carry a weight of 50%.
- Semestral
- The course develops technical and artistic skills in digital animated drawing, integrating creation, editing, and analysis of animated sequences with an emphasis on graphic expressiveness and professional applicability.
- Details
- Category: Discipline
- AMARAL, Diogo Freitas do. Curso de Direito Administrativo. Volume II. 4ª Edição. Reimpressão. Almedina. 2020 FURTADO, Miguel. Progressividade ou Proporcionalidade em sede de IRS, no âmbito da justiça social? Revista Minerva Universitária. 2024 FURTADO, Miguel. Direitos Fundamentais: Com ou Sem Hierarquia? Revista Minerva Universitária. 2023 FURTADO, Miguel. Estado Fiscal enquanto Sinónimo de Liberdade. ISG. 2022 FURTADO, Miguel. Caraterização da Administração Pública. Universidade Lusófona. 2020 FURTADO, Miguel. Hierarquia das Leis. ISG. 2022 NABAIS, José Casalta. Direito Fiscal. 11ª edição, Almedina. 2019 ROCHA, Joaquim Freitas. Lições de Procedimento e Processo Tributário. 2ª edição, Almedina. 2019 SOUSA, Domingos Pereira de Sousa, Direito Fiscal e Processo Tributário, Coimbra Editora. 2013 Constituição da República Portuguesa Código do Procedimento Administrativo Lei Geral Tributária Código do Procedimento e do Processo Tributário
- Accounting and Management
- 3564
- 18869
- Declarative Procedures
- IPLUSO3564-18869
- 2
- 5
- 0
- 4
- Não
- Português
- Teaching methodologies: a) Interactive classes, with oral, textual and graphic presentation of the subject, accompanied by participation and discussion of the topics taught. b) Research and individual/group work. c) Resolution of practical cases. Knowledge assessment method: The assessment of knowledge will be based on the weighting of three aspects: a) Preparation and presentation of works and respective debate in class: 20% b) Class participation, including debates on the presentation of the work, resolution of practical cases and individual oral tests: 20%. Attendance is a prerequisite for continuous assessment. Note: The student must be present in 75% of classes c) Taking a main written test (60%): January 8th 2025 at class time.
- Mandatory
- - Understand the way in which the bodies that exercise public powers act, through the identification of the main legal principles that shape their actions; - Know the various bodies and entities with which it will be necessary to make professional contacts as well as their modes of operation, organization and connection; - Mastering and handling the respective legislation related to the various stages of the declarative procedures; - Know and know how to move in the various stages of the declarative procedures; Know, know how to discern and use the necessary acts and documentation within the scope of declarative procedures; - Understand and know how to apply the various guarantees of citizens and taxpayers in their favor in conflict with the Public Administration.
- - Procedures and respective constitutional principles; - Principles of Public Administration and Administrative Procedure; - Administrative Procedure, respective phases and citizens' guarantees; - Tax constitution, tax system and taxes - the tax in particular: - Legislation and Public Tax Administration; - Tax procedure: concept, object, subjects, general principles and phases; - Settlement procedure and the tax act; - Tax inspection procedure; - Taxpayers' guarantees within the scope of the tax procedure; - Connection between procedure and tax litigation; - Major tax declaration procedures.
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 avalição
Apresentação de trabalho
Participação em aula
19-11-2025
14-1-2026
--------------
---------------
30%.
30%
20%
20%
A participação em aula, incluindo a apresentação de um trabalho e discussãodo mesmo, será objecto de ponderação para a nota final da disciplina.
Ao longo do semestre
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
- It is a UC that will enable students to know and understand the procedural steps of declaratory scope that they will need to carry out in the development of their functions, both at the administrative and tax levels. This curricular unit is therefore an indispensable tool for future professionals to find themselves fully equipped to be able to perform their day-to-day work within the scope of the functioning and organization of the respective Public Administration, with special priority for the tax nature, something that in its This majority is a relevant gap for those who are already working in the area of ¿¿the course.
- Details
- Category: Discipline
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis (8th ed.). Cengage Learning. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning: with Applications in R. Springer. McKinney, W. (2017). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2nd ed.). O'Reilly Media.
- Computer Applications for Data Science
- 6382
- 23559
- Analysis and Treatment of Multivariate Data
- IPLUSO6382-23559
- 2
- 5
- 0
- 4
- Não
- Português
- Project-Based Learning (PBL): Promotes practical application, allowing students to work on real datasets, proposing and implementing solutions to concrete problems. Interactive Coding Platforms: Using tools such as Jupyter Notebooks or RStudio Cloud to facilitate experimentation and real-time data visualization. Peer-to-Peer Discussion Groups: Fostering the exchange of ideas and collaboration, allowing students to learn from each other and share different perspectives.
- Mandatory
- Knowledge: Students will acquire a deep understanding of the nature and complexity of multivariate data and the statistical techniques and algorithms used in their analysis. Skills: They will be able to perform exploratory analyzes of multivariate data, identifying patterns, correlations and anomalies. Additionally, they will develop capabilities to apply dimensionality reduction methods, such as PCA and t-SNE, and clustering and classification techniques. Skills: Students will be proficient in specific tools and software for processing multivariate data. They will also gain the ability to effectively communicate the results of their analyses, transforming complex data into actionable insights and data-driven solutions to real-world problems. Overall, they will be able to make informed decisions based on analysis of multivariate datasets, making a valuable contribution to any data science team.
- Introduction to Multivariate Data: Basic concepts, types and structures of multivariate data. Exploratory Data Analysis (AED): Multivariate data visualization, outlier detection and statistical description. Correlation and Causality: Differences, calculation methods and implications. Dimensionality Reduction: Techniques such as Principal Component Analysis (PCA) and t-SNE. Clustering and Segmentation: Algorithms such as K-means and DBSCAN. Multivariate Classification: Introduction to models such as Multinomial Logistic Regression and Support Vector Machines. Validation and Interpretation of Models: Evaluation methods, metrics and interpretation of results. Practical Applications: Case studies and projects in specific domains, using tools such as R, Python and their specific libraries.
Descrição
Data limite
Ponderação
Teste de avaliação
17-11-2025
30%
Projeto Final
19-01-2026
70%
- Semestral
- The Curricular Unit "Analysis and Processing of Multivariate Data" is an essential component of the professional technical course in Computer Applications for Data Sciences. Within the field of action, this course focuses on the study and manipulation of data sets with multiple variables, exploring the complexities and interrelationships between them. The area of ¿¿expertise encompasses advanced statistical techniques, machine learning algorithms and visualization methods for multivariate data. As for the intervention domain, it addresses both the underlying theory and practical application, using modern software and tools specific to the processing of multivariate data. The relevance of the UC in the study cycle is unquestionable, as understanding and processing multivariate data is a central pillar in data science, allowing students to extract deeper insights and develop more accurate predictive models from complex data sets.
