- Details
- Category: Discipline
- Campo Baeza,A.(2013).Pensar com as Mãos.(2th ed.).Caleidoscópio.ISBN:9789896581008 Janeiro, P.A. (2011). Arquitecturas-Ficcionadas: O Desenho. Lisboa Books. ISBN: 9789896971854. Neto, S.M. (2019). Error. An Inventive Resource in Drawings.Oil Forest League. ISBN: 9788894139488. Pinto, L.M. (2012). Desenho - Perceção e Forma. Edições Colibri. ISBN: 9789896892326
- Architecture
- 367
- 507
- Drawing II
- ISMAT367-507
- 1
- 6
- 0
- 12
- Não
- Português
- M1 . To understand the necessary grammar to draw architetonic space , beginning by coping "with consciece "a complete /simple project, in order to understand the architectonic language and how to read a project, realizing the importance of the differet lines and expressions used for it. M2. Discussion of the concepts used by Campo Baeza in " Thinking with the Hands", after reading the book. M3. To draw several interior spaces of different tipologies , using those conceps , aplying the skills of the 1´semester , with enphasis on materiality, light, shadow, havyness.
- Mandatory
- O1.Develop the fundamental role of drawing in Project practice, understanding it as essential to represent the entire universe inherent in the practice of architecture. O2.Provide the student with observation and representation skills, not only of all that surrounds him , but as well as conceptual thinking. O3.Drawing should be understood as a universal tool that translates the concrete world and ideas. In this sense, and following the knowledge acquired in the discipline of Drawing I, it is intended to stimulate and develop in the student: O3.1.A critical observation and analysis, as well as creative imagination, expressing space and materiality,using the previous skills O3.2. Understanding the concept of the different scale of the building ( interior) as well as the human one.
- DAAD - Department of Architecture, Arts and Design
- S1. Drawing II is based on an exploratory path, understanding the interior architectural space, underlining the importance of the real observation of interior space. S2. This process will have the introduction of the concepts of tectonic and stereotómic, based in the book " THINKING WITH THE HANDS" by Campo Baeza. The skills and tools previously adquired must express those concepts, where heavyness,materiality, density, light and shadow must be explored trough the adquired technics.
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
A avaliação é contínua, em tempo real de aula, com três momentos principais ao longo do semestre, cujas datas serão anunciadas de acordo com o desenvolvimento dos trabalho/s.
A avaliação final será uma sintese do trabalho desenvolvido. Em cada momento de avaliação serão apresentados oralmente os trabalhos para a turma. Haverá dois trabalhos principais complementados por trabalhos complementares. É obrigatória uma assiduidade de 75%. Para os alunos com estatuto de trabalhador estudante é obrigatória a presença nos momentos de avaliação, assim como mostrar o trabalho pelo menos 3 vezes antes de cada momento de avaliação.
No final será apresentado um portfólio com todo o trabalho do semestre, que será também enviado virtualmente.
1´trabalho : 60% da nota final.
2 ` trabalho: 20% da nota final.
Trabalhos intercalares: 10% da nota final.
Participação na aula : 10% da nota final
- Semestral
- Draw II is a fundamental tool for thinking and doing Architecture, so it is essencial for Project Studio. Search to improve a critical sense how to see the space around us, how to represent and express it.
- Details
- Category: Discipline
- American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000 Field, A. (2021 ): Descobrindo a estatística usando o SPSS . (5ª. Ed.). Editora Penso. Hair. J., Tatham, R. & Anderson, R. (2005). Multivariate data analysis. Prentice-Hall. Martins,C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS. Psiquilibrios. Marôco, J. (2021). Análise estatística com o SPSS Statistics (8ª edição). Pêro Pinheiro: Report Number. Morgan, G. A., et al. (2020). IBM SPSS for introductory statistics: Use and interpretation (6th Ed.). Routledge. Moore, D. S., & Notz, W. I. (2017). Statistics - Concepts and controversies (9th Ed.). Freeman & Comp. Ordem dos Psicólogos Portugueses. (2024). Código deontológico da Ordem dos Psicólogos Portugueses. DR224-001-00022-317947799-157_898_2024.pdf
- Psychology of Work and Occupational Health
- 2194
- 16014
- Research
- ISMAT2194-16014
- 2
- 30
- 0
- 12
- Não
- Português
- Theoretical and practical classes, based on exposure of concepts, definitions and the theoretical framework as well as presentations of the students in order to stimulate critical exchange on prepared topics. Mentoring and self-monitoring. Based learning on the Internet (E-Based Learning), through Moodle. Use of the support structures all over all the unit (Informatics Lab., Psychological Assement and Experimental Psychology Labs. The assessment in this course consists of the preparation, presentation and discussion of scientific research (100%).
- Mandatory
- Identify the stages of the research process in the search and formulation of research questions in the areas of Work Psychology and Occupational Health, from the choice of the theme, selection of a theoretical model and formulation of objectives and hypotheses accordingly, operationalization variables, data collection and archiving, until the analysis and writing of the proposed research.
- Selecting a subject area Research and bibliographic management through software Endnote X7 / Mendeley The state of the art Formulation of objectives and hypotheses Research proposal Sample selection methodologies Calculation of the sample size using the G Power. Selection and implementation of measures for evaluating Procedures for data collection File and data preparation statistical modeling Interpretation of results Research writing with the rules of APA Ethical aspects in research
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
Dissertação
31-07-2025
100%
(...)
A assiduidade rege-se pelo Regulamento Geral de Avaliação do ISMAT, disponibilizado em:
despacho-conjunto-no-6-2025-homologacao-das-alteracoes-ao-regulamento-geral-de-avaliacao.pdf
- Anual
- The Research unit aims to provide methodological support for the construction, development and implementation of research projects for the realization of the Dissertation in the 2nd Cycle. Throughout the year, students conduct their research with guidance, going through all the stages from building a research project, to collecting and analyzing data and interpreting results.
- Details
- Category: Discipline
- Sheene, R. & Gallo, A. Elaborar um plano de negócios. Lisboa. Actual., Grupo Almedina. 2020. ISBN: 978-989-69-4493-3. Caldeira, J.. 100 Indicadores de gestão. Coimbra: Conjuntura Actual editora. 2019. ISBN: 978-989-694-033-1.
- Business Management
- 490
- 22681
- Management Workshop
- ISMAT490-22681
- 3
- 3
- 0
- 12
- Não
- Português
- TM: For the forwarding of the solution and for the preparation of the report. Evaluation: Report with the proposed solution., Implementation phases and projection of results (70%). Participation, commitment and integration in activities (30%).
- Mandatory
- LO1: Experience a real problem-solving situation in the organizational environment. LO2: Develop collective work skills. LO3: Integrate the knowledge acquired about management into a practical application. LO4: Develop skills and competencies to diagnose, analyze and propose solutions to the organization's problems or opportunities
- PC1: Identification and analysis of the problems or opportunities of the organization object of the workshop, using techniques and tools acquired during the training. PC2: Immersion in the context of the organization, seeking the perception and analysis of the dynamic interaction of existing processes. PC3: Development of a productive relationship, both with teammates and with the leaders and representatives of the organization under analysis. PC4: Preparation of proposals to address issues diagnosed in the organization, including estimates of the corresponding results
Descrição
Data limite
Ponderação
Relatório
23-01-2026
70%
Portfolio
26-01-2026
30%
- Semestral
- To offer participants an experience of systemic analysis of an organization (company, public entity or third sector) that, in addition to proposing a real challenge, will offer a welcome to groups of students, allowing them to experience a real problem-solving situation.
- Details
- Category: Discipline
- 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
- 23087
- Supervised Learning
- ISMAT6321-23087
- 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) to solve exercises, with the use of a computer, and find solutions to proposed problems (problem based learning). real datasets and machine learning tools are used to develop, compare and interpret predictive models across different application contexts.
- Mandatory
- At the end of this course unit, students should be able to: LO1: Distinguish and compare supervised learning techniques, in classification and regression tasks; LO2: Adjust supervised learning models to data and use them for predictive purposes; LO3: Evaluate and compare the performance of supervised learning models; LO4: Use computational resources, such as R, Python and SAS.
- S1: Introduction to supervised data learning and its applications S2: Regression methods S3: Classification methods S4: Evaluation and performance comparison of supervised learning models S5: 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 Supervised Learning belongs to the scientific area of Data Science and addresses the main supervised machine learning methods for classification and regression problems. It develops skills in building, evaluating and interpreting predictive models, which are essential for solving problems across different application domains.
- Details
- Category: Discipline
- Marques, J. A., Ferreira, P., Ribeiro, C., Veiga, L., & Rodrigues, R.. Sistemas operativos (2.ª ed.). Lisboa: FCA, 2012. ISBN: 978-972-722-756-3
- IT Engineering
- 587
- 6305
- Operating Systems
- ISMAT587-6305
- 2
- 6
- 0
- 12
- Não
- Português
- The content taught is implemented in software using programming. Active and problem-solving-oriented methodologies (PBL) are used. Theoretical-practical classes are developed with the challenge of identifying flaws/results in the algorithms presented, with discussion of outputs.
- Mandatory
- Knowledge Understand the role, architecture and main components of an operating system. Know models of processes, threads, concurrency and memory management. Identify types of operating systems and basic security and protection mechanisms. Skills Use essential commands in Unix/Linux environments. Develop small programmes that use processes, threads and synchronisation mechanisms. Perform simple diagnostics of performance, memory, processes, and file systems. Competencies Solve practical problems related to process management, memory, and concurrency. Apply good systems programming practices with a focus on efficiency and security. Select and configure operating systems appropriate for different contexts.
- Introduction Operating System Concept Functionalities and Mechanisms Operating System Services and Architecture Services and Interfaces Exceptions, APIs, and System Calls Architecture and Implementation Process Management Processes and Execution Flows Zombie Processes Tasks (threads) CPU Scheduling Process Synchronisation Deadlocks Primary Memory Management Physical Memory Virtual Memory Storage Memory Management File Management Systems (FMS) FMS Implementation Storage Memory Structure Input/Output (I/O) Subsystems Examples of Operating Systems The above points will be illustrated using examples taken from Linux and Windows systems.
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
Componente Teórica (Teste de avaliação)
15-12-2025
60 %
Componente Trabalho Prático (entrega até 15/12/2025)
05-01-2026
30 %
Participação
--
10 %
Componente Teórica:
- 1 teste na época normal (2 horas máximo com 10 minutos tolerância)
- Nota mínima da componente teórica é de 8 (oito) valores
- Existe depois época de recurso, que substituirá a nota apenas em caso de melhoria
Componente Trabalho:
- Grupos de 2 alunos
- Formados na segunda semana
- Nota mínima da componente trabalho é de 9 (nove) valores
- Presença obrigatória na apresentação e discussão final do trabalho
- Poderá mediante a demonstração de conhecimento existir avaliações distintas no mesmo grupo
Componente Participação:
- Assiduidade
- Participação
- Interesse
- Postura
- Desenvolvimento de exercícios que possam existir em aula
- Semestral
- The Operating Systems (OS) Course Unit forms part of the core curriculum of the Computer Engineering programme, constituting one of the theoretical and practical pillars that underpin the understanding of how computer systems work. Its main objective is to provide students with a solid understanding of the principles, mechanisms and architectures that enable the efficient management of computational resources such as virtualisation, processors, memory, input/output devices and file systems, in order to simultaneously guarantee performance, reliability and security.
