- Details
- Category: Discipline
- Rehabilitation of Buildings and Sites
- 6641
- 24487
- Heritage Values and Attributes
- ISMAT6641-24487
- 1
- 5
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Communication Design
- 489
- 22421
- Circular Design
- ISMAT489-22421
- 3
- Bachelor
- 3
- 1397
- 12
- Não
- Português
- EN
- Optional
- DAAD - Department of Architecture, Arts and Design
- Semestral
- Details
- Category: Discipline
- Ferreira, M. P., Reis, N., Santos, J. C., & Marques, T. (2011). Gestão Empresarial + Casos De Estudo. Lisboa: Editora Lidel. David, Boddy (2011). Management: an introduction, 5th Edition, Prentice Hall Edition Robbins, S., Coulter, M. (2003), Management, 7th Edition, Prentice Hall Edition Bartol, Kathryn M., Martin, David C. (1994), 2 nd edition, McGraw-Hill Edition Casos e artigos a serem indicados pelo docente
- Human Resources Management
- 368
- 10405
- Business Management
- ISMAT368-10405
- 1
- 5
- 0
- 12
- Não
- Português
- Theoretical exposition (TM1) of the main contents of the Syllabus (S); Case studies -Analysis and discussion (TM2).
- Mandatory
- LG1-Understanding the organisations and their management. The challenge of management. LG2-Understanding the models of management (or theories) and their contexts: rational goal models, bureaucratic models (internal process models), human relations models and open system models. LG3-Understanding the competitive environments of the organisations. LG4-Analysing the main concepts and theories in the context of the management process: Planning and decision making, Organizing, Leading, and Controlling. LG5-Analysing the corporate social responsibility issue
- S1. Managing in organisations 1.1. Management and organisations S2. Theories of management 2.1. The competing values framework S3. The business environment 3.1 The competitive environment 3.2 The general environment S4. Planning and decision making 4.1. Types of plans and purposes of planning S5. Structures and culture 5.1Creating the vertical and the horizontal structure 5.2 Organisational cultures 5.3 Mechanistic and organic structures S6. Leading and motivation 6.1 Sources of power and influencing process 6.2 Models of influence 6.3 A model of motivation at work 6.4.Theories of motivation (content/process) S7. Controlling
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
TBD
50%
Trabalho
TBD
40%
Assiduidade e participação
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
- This CU aims to enable the students to get knowledge of the foundations and concepts of management in order to acquire a wide knowledge and understanding of it.
- Details
- Category: Discipline
- Sedgewick R., Wayne K. (2011). Algorithms. Addison-Wesley.
- IT Engineering
- 587
- 13558
- Algorithms and Data Structures
- ISMAT587-13558
- 2
- 6
- 0
- 12
- Não
- Português
- The content taught is applied using programming. Active, problem-solving-oriented methodologies (PBL) are used. At the end of each part, projects are developed integrating all the content taught.
- Mandatory
- LO1. Understand and apply the methods of analysis of iterative and recursive algorithms. LO2. Understand and identify essential strategies for the design of algorithms. LO3. Master advanced data structures and fundamental algorithms on them. LO4. Understand the influence of the design / choice of an algorithm and / or data structure on the performance of solving a problem. LO5. Know and identify intractable problems, as well as algorithms that present an approximate solution to them.
- S1. Sequential search. S2. Binary search. S3. Fundamentals of algorithm analysis. Analysis of the best case, worst case, average case. Growth of functions. Asymptotic complexity. Notations. Recurrences and respective resolution. Recursion trees. Master method. S4. Review of simple sorting methods: selection, insertion and bubble. S5. Sorting methods merge sort and quicksort (recursive). S6. Division and conquest. S7. Heapsort ordering method. Min and Max-heap. S8. Linear time ordering methods. Counting sort, Radix sort, Bucket sort. S9. Algorithm design strategies. Division and conquest (revisited). "Greedy" algorithms. Dynamic programming. S10. Amortized Analysis. S11. Advanced Data Structures. Priority Queues (Min and Max-Priority) Binary Search Trees. Balanced BSTs. Graphs. Hashing.
Descrição dos instrumentos de avaliaão (individuais e de grupo): testes, trabalhos práticos e ponderação na nota final.
Descrição
Data limite
Ponderação
Teste de avaliação
a marcar
60%
TP1
a marcar
20%
TP2
a marcar
20%
O teste de avaliação é individual e os trabalhos práticos são em grupo (no máximo 2 elementos). O TP1 consiste num desafio sobre estratégias e concepção de algoritmos.
O TP2 consiste num desafio que inclue a aplicação dos conceitos sobre estruturas de dados.
O teste de avaliação inclui toda a matéria leccionada.
- Semestral
- In programming, the themes are repeated and the solutions too, so it is essential to understand and know how to apply the studied methods that present the best solution to well-known problems. The UC Algorithms and Data Structures addresses the study of fundamental data structures and classic algorithms, used in programming. The correct use of algorithms and data structures allows to obtain programs written in a better way, with fewer errors and optimized the execution time and allocated memory.
- Details
- Category: Discipline
- Coon, D., & Mitterer, J. (2010). Introduction to Psychology: Gateways to mind and behavior. USA: Wadsworth. Demont, E. (2015). A Psicologia: História, conceitos, métodos, experiências. Lisboa: Edições Texto e Grafia. Gleitman, H.,et al. (2011). Psicologia. 10ª edição. Lisboa: FCG. Plotnik, R., & Kouyoumdgian, H. (2011). Introduction to Psychology. (9th edition). USA. Wadsworth. Ralha-Simões, H. (2017). Psicologia: As noções essenciais. Lisboa: Papa-Letras. Weiner, I. et al. (2012). Handbook of Psychology, Experimental Psychology. London: Wiley.
- Psychology (ISMAT)
- 394
- 182
- General Psychology
- ISMAT394-182
- 1
- 7
- 0
- 12
- Não
- Português
- Theoretical classes using new technologies (problem-based learning; flipped classroom; online activities) for theoretical-practical illustration, such as viewing documentaries, seminars, lectures, among others, with the aim of fostering a closer contact between the theoretical exposition (given in class) and the more practical component, such as the activities developed by professionals in the field of behavioral and mental sciences.
- Mandatory
- In this course, we aim to present Psychology as the science of human behavior and cognitive processes, equipping students with basic competencies in understanding this disciplinary area. By the end of the semester, students should be able to: 1) indicate means of obtaining knowledge; 2) distinguish science from pseudoscience; 3) identify the object of study and the objectives of research in Psychology; 4) identify the main psychological processes; 5) understand the interaction between biological, social, and psychological factors in determining psychological processes; 6) know the various areas of practice in Psychology; 7) know the ethical principles that govern intervention in Psychology.
- 1 - Introduction to the study of Psychology 1.1. A science with many faces 1.2. Psychology field and its perspectives 2 - Definition and object of study of Psychology 2.1. The cognition 2.1.2 Physiological basis of behavior 2.2.3. Introduction to basic psychological processes 2.2. Social behavior 2.3. Individual Differences 3 - Applications of Psychology as Science: intervention areas and contexts 4 - The role of the psychologist in society 5 - Future directions
Descrição
Data limite
Ponderação
Teste Escrito
24-11-2025 (Td)
09-12-2025 (Tpl)
60%
Apresentação Oral dos Trabalhos de Grupo
15-12-2025
16-12-2025
30%
Participação nas Aulas (Atividades)
10%
- Semestral
- In Psychology, knowledge is acquired through the scientific method. Therefore, this course aims to provide an introduction to general scientific thought and the research process within this specific discipline. Because it is a process that cuts across various subfields of Psychology, it is important that students become familiar with it from the beginning of their university education. Additionally, knowledge of the scientific method enhances students' ability to critically analyze scientific claims and identify pseudoscientific statements.
