- Details
- Category: Discipline
- Código do Trabalho, (Última Edição) Lisboa, Editora Almedina, 2021 Legislação da Segurança Social
- Human Resources Management
- 368
- 8042
- Labour and Social Security Law
- ISMAT368-8042
- 1
- 5
- 0
- 12
- Não
- Português
- Take advantage of knowledge for practical applications within the scope of labor relations
- Mandatory
- - Students must understand and apply all the implications of prior hiring, maintaining the employment contract and terminating it, always with the subsidiary right that may emerge from the Social Security legislation; corporate HR is most often the core of conflicts between employers and workers, and the HRM must use legal reasons in order to have an independent attitude and in line with the interests of the parties.
- 1 - Sources of Labor Law as essential elements for understanding legal norms. 2 - Workers 'personality rights and consequences of employers' defaults; duties of the parties. 3 - Concept of companies and employment contract and service provision. 4 - Absences, vacations and holidays: practical application. 5 - Retribution and the various models used. 6 - Termination of employment contracts. 7 - Concept of the disciplinary process. 8 - The consequences of the end of employment contracts and implications for Social Security legislation.
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 - 1º
Teste de Avaliação - 2º
SEM DATA DEFINIADA
SEM DATA DEFINIDA
45%
45%
Resolução de casos práticos e participação
Em aula
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
- - The student must assimilate and practice all the concepts of Labor Law as well as the rules of Social Security (especially the consequences of a termination of contract), so that and while HRM can understand the differentiation of the concept of people to worker; this UC aims at the future application of interconnection in the company and should serve as a link between the various themes involved in the business structure, and must know how to apply and interpret the various legal rules as pillars of a healthy working environment.
- Details
- Category: Discipline
- Allen, E. (2008). Cómo funciona un edificio: Principios elementales. Gustavo Gili. (1ª 1980). Bachelard, G. (2008). A poética do espaço (2ª ed.). Martins Fontes. Bourdieu, P. (2002). A casa ou o mundo ao contrário. In Esboço de uma teoria da prática (pp. 37-55). Celta. Campos Baeza, A. (s.d.). Palimpsesto architectónico. Ching, F. D. K. (1996). Architecture: Form, space, and order (2º ed). Van Nostrand Reinhold. Fathy, H. (2009). Arquitectura para os pobres: Uma experiência no Egipto rural. Argumentum/Dinalivro. Forjaz, J. (2018). Pensar arquitectura. Caleidoscópio. Giedion, S. (2004). Espaço, tempo e arquitectura: O desenvolvimento de uma nova tradição. Martins Fontes. Gomes, M. J. A. (2016). Bairro da Malagueira de Siza Vieira. Caleidoscópio. Hertzberger, H. (2006). Lições de arquitectura. Martins Fontes. Lorenzo de la Plaza Escudero. (2017). Pequeño diccionario visual de términos arquitectónicos. Ediciones Cátedra. Mascarenhas, J. (2007). Sistemas de construção I-XVIII. Livros Horizonte.
- Architecture
- 367
- 2413
- Project IV
- ISMAT367-2413
- 2
- Bachelor; Master Degree
- 10
- 0
- 12
- Não
- Português
- EN
- M1 - Theoretical and practical classes with conceptual framework and problem-based learning. M2 - Interdisciplinary approach with architectural tools. M3 - Practical classes in (re)design and analysis of reference projects. M4 - Quick exercises to stimulate creativity. M5 - Two main exercises on cultural programs and housing. M6 - Project developed at the Basic Project level. M7 - Emphasis on graphic communication: freehand drawing, technical drawing, and various pieces. M8 - Phased presentations with analysis, critique, and collective discussion. M9 - Study visits for observation and reflection. M10 - Guided independent work outside of class. M11 - Individual tutoring tailored to each student and project. M12 - Guided group work. M13 - Playful activities (letters, glossaries, exhibitions) that reinforce learning. M14 - Classes with institutions and experts, with critical debate.
- Mandatory
- O1: Develop the ability to design based on thought and critical thinking (observation and analysis), drawing (process), and space (scale, form, and structure). O2: Explore the notions of inhabiting space, in the building and in the context of the city. O3: Develop the notions of scale. O4: Develop the fundamentals of technical drawing. O5: Develop the creation of models as a design tool. O6: Learn about the basic techniques and materials of construction. O7: Learn about and study notable cases in architecture. O8: Understand the importance of the role of architecture in society in its various aspects: social, economic, cultural, environmental, and in the quality of life of citizens, both in the context of inhabiting private space and in the context of inhabiting public or collective space, which encompasses the most varied programs. O9: Understand the capacity of architecture to function as a regenerating element of the urban fabric and to solve problems of society and the city.
- DAAD - Department of Architecture, Arts and Design
- CP1 - Observation, analysis, and critique: reading space and territory using graphic, photographic, and written tools, articulating analysis-concept-process CP2 - Drawing: an instrument of conception and communication, including sketches, models, and digital media CP3 - Scale, form and structure: body-space relationship, geometry, and functional and contextual organization CP4 - Inhabited space: residential typologies and articulation between private, collective, and public spaces, within urban context CP5 - Technical drawing: standards, plans, sections, elevations, scales and 3d representation CP6 - Model making: types, materials and techniques as a means of analysis and communication CP7 - Construction: systems, materials and relationship between technique, expression and sustainability CP8 - Modern/contemporary arch: references and dwelling concepts study CP9 - Arch and society: social responsibility, urban regeneration and sustainability CP10 - Integrated Project:prog-context-form-represent
A Avaliação Contínua (AC) é feita com a seguinte ponderação (para cada exercício):
20% 1ª fase: Análise, conceito base e proposta inicial
20% 2ª fase: Estudo e evolução da proposta
20% 3ª fase: Projeto e elementos finais
15% 4ª fase: Apresentação oral final das peças (escritas e desenhadas) e discussão crítica pública da proposta
10% Assiduidade, interesse demonstrado e qualidade de participação nas aulas
15% Desenvolvimento individual do aluno e dentro do grupo e participação em Workshops
A apresentação dos elementos de avaliação curricular é feita preferencialmente de modo presencial, podendo ser de modo não presencial, caso esteja em vigor o sistema de ensino à distância.
O Exame consiste na entrega/ melhoria do trabalho do semestre. Poderá ser feita uma prova teórico-prática no dia do exame.
A avaliação em Época de Recurso (ER), é possível nos termos do Regulamento de Avaliação de Conhecimentos do ISMAT.
A avaliação em Época Especial (EE), é possível nos termos do Regulamento de Avaliação de Conhecimentos do ISMAT.
Observações
1. Em tudo o omisso aplica-se o regulamento geral de Avaliação do ISMAT e demais regulamentos em vigor no ISMAT.
2. É necessária a presença em aula num mínimo de 75%
3. A programação prevista para a UC poderá sofrer alterações, mediante necessidades verificadas
4. O número de exercícios a desenvolver pelos estudantes poderá ser alterado, mediante necessidades verificadas, implicando a redistribuição da ponderação da avaliação
5 Está prevista a possibilidade de interação em sistema de ensino á distância, na eventualidade de se revelar impossível a realização de aulas presenciais.
- Semestral
- The Project IV course unit focuses on developing critical thinking essential to the practice of architecture and the development of an architectural project. It aims to develop tools for creating projects in different contexts and constraints, always considering the habitable space according to a program. The course unit intends to provide a studio environment for drawing and discussion between students and teachers on the different disciplinary areas that converge on the project. Thus, in terms of thematic approach, in the 2nd semester of the 2nd year, the intention is to focus on the characteristics of the constructed object, according to a cultural program and residential space, considering, from the outset, the materiality, technique and ecology of the construction. The theme for the 2nd semester of the 2nd year of Project is: "The cultural and residential space. The constructed object: material and constructive aspects and the ecology of the construction"
- Details
- Category: Discipline
- Rehabilitation of Buildings and Sites
- 6641
- 1919
- Project
- ISMAT6641-1919
- 2
- 30
- 1357
- 12
- Sim
- Português
- Optional
- Semestral
- Details
- Category: Discipline
- Creative Technologies
- 6332
- 23250
- Design in Digital Environments
- ISMAT6332-23250
- 2
- Bachelor
- 4
- 0
- 12
- Não
- Português
- EN
- DAAD - Department of Architecture, Arts and Design
- Semestral
- Details
- Category: Discipline
- Harrison, M. (2016) Pandas Library: Python Tools for Data Munging, Data Analysis, and Visualization. Treading on Python Series. Hastie, T.; Tibshirani, R.; Friedman, J. (2009). The Elements of Statistical Learning Data Mining, Inference, and Prediction, New York: Springer McKinney, W. (2018) Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Python. USA: O’Reilly. Santos, M. Y., Ramos I. (2017). Business Intelligence – Da Informação ao Conhecimento (3.ª ed.). Lisboa: FCA Editora.
- IT Engineering
- 587
- 21902
- Decision Support Systems
- ISMAT587-21902
- 3
- 6
- 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) to solve classroom exercises, with and without the use of a computer. The assessment is made by continuous assessment or written exam. The continuous assessment consists of one group work.
- Mandatory
- LO1. Understand the concepts of Business Intelligence, Analytics, and Decision Support. LO2. Be able to analyze and map business processes in dimensional modeling. LO3. Understand the architecture for implementing Data Warehousing solutions. LO4. Understand the phases of the knowledge discovery process in databases. LO5. Develop ways of information visualization, including dashboards. LO6. Distinguish and apply data analysis techniques for exploratory, explanatory, or predictive purposes. LO7. Address business questions through the application of Descriptive and Inferential Statistics techniques. LO8. Apply Machine Learning techniques and explore how to use them in Decision Support Systems. LO9. Distinguish situations where clustering, regression, and classification techniques are applicable. LO10. Utilize Python for data acquisition, preparation, visualization, and analysis.
- S1. Overview of Decision Support Systems, Business Intelligence, and Analytics Business Intelligence Indicators Analytics Data Warehousing Online Analytical Processing S2. Knowledge Discovery in Databases Phases of the process CRISP-DM Methodology S3. Information Visualization ETL (Extract, Transform and Load) Tools Business Reporting, Visual Analytics, and Dashboards S4. Statistical Data Analysis Descriptive Statistics Inferential Statistics S5. Machine Learning in Decision Making Machine Learning and its Use in Decision Support Systems Supervised and Unsupervised Learning Machine Learning Applications in Decision Making: Clustering, Regression, and Classification S6. Python for Decision Support Systems
Avaliação:
Projeto entregue em duas fases: TP1 (50%) + TP2 (50%)
Datas dos momentos de avaliação:
Entrega da 1ª fase do projeto - a indicar
Entrega da 2ª fase do projeto - a indicar
Apresentação do projeto - a indicar
- Semestral
- The ability to develop decision support systems is highly valued in the job market because it helps organizations make more informed and effective decisions, optimizing processes and resources, reducing risks, and creating competitive advantages. This makes professionals with these skills essential in an increasingly data-driven world. In this course, we cover the fundamentals and explore the capabilities of Python for acquiring, organizing, manipulating, visualizing, and analyzing data. The emphasis is on acquiring and integrating data from various sources, preparing data for analysis, creating informative visualizations, and conducting statistical analyses to describe situations, investigate associations, identify patterns, and develop predictive models.
