- Details
- Category: Discipline
- Communication Design
- 489
- 21752
- Interface and Interaction
- ISMAT489-21752
- 3
- Bachelor
- 4
- 0
- 12
- Não
- Português
- EN
- DAAD - Department of Architecture, Arts and Design
- Semestral
- Details
- Category: Discipline
- Fashion and Textile Design and Production
- 6582
- 24150
- Creative Industries and Entrepreneurship
- ISMAT6582-24150
- 3
- Bachelor
- 5
- 0
- 12
- Não
- Português
- EN
- DAAD - Department of Architecture, Arts and Design
- Semestral
- Details
- Category: Discipline
- Maindonald, J. & Braun, W. J. (2010). Data analysis and graphics using R: an example-based approach. (3rd ed.). United Kingdom: Cambridge University Press. Murteira, B. & Antunes, M. (2012). Probabilidades e Estatística . (Vol. 1). Lisboa: Escolar Editora. Paulino, C. & Branco, J. (2005). Exercícios de Probabilidade e Estatística . Lisboa: Escolar Editora.
- IT Engineering
- 587
- 620
- Probabilities and Statistics
- ISMAT587-620
- 1
- 6
- 0
- 12
- Não
- Português
- Active, problem-solving-oriented methodologies (PBL) are used for all content.
- Mandatory
- At the end of this course unit, students should be able to: LO1: Distinguish fundamental concepts of Statistics; LO2: Represent data through tables, graphs and descriptive measures; LO3: Solve problems involving probabilities and random variables; LO4: Perform confidence intervals and hypothesis testing; LO5: Analyze correlations and fit linear regression models to data; LO6: Use softwares jamovi and R for statistical data analysis.
- S1: Introduction to Statistics The power of data Data Science Basic concepts of Statistics Statistical method steps S2: Descriptive Statistics Descriptive measures Tables and graphical representations S3: Probabilities Introduction to probabilities Conditional probability and Bayes' theorem S4: Random Variables and Discrete Distributions Discrete random variables Binomial distribution Poisson distribution S5: Random Variables and Continuous Distributions Continuous random variables Normal distribution S6: Inferential Statistics Introduction to Inferential Statistics Point and interval estimation Parametric and nonparametric hypothesis tests Hypothesis tests to compare population means Chi-square independence test S7: Correlation and Linear Regression Linear correlation Simple linear regression Multiple linear regression S8: Data Analysis using Softwares R and jamovi
A avaliação contínua é composta por:
Descrição
Data limite
Ponderação
Teste de avaliação
a indicar
40%
Trabalho
a indicar
40%
Exercícios/Minitestes no Moodle
a indicar
20%
- Semestral
- The value of data is now recognized in numerous application areas and organizations are increasingly using it to support decision making. This Curricular Unit starts by introducing the introductory concepts of Statistics, followed by the presentation of various types of tables, graphs and descriptive measures that can be used to organize and characterize the data. Then the concept of probability is introduced, various probability distributions are studied and we proceed to Inferential Statistics, which aims to infer about the population, based on the knowledge of the sample data, including the point and interval estimation of parameters and testing hypotheses about these. The correlation between quantitative variables is also analyzed graphically and analytically and simple and multiple linear regression models are developed, which are very useful for predictive purposes. The softwares jamovi and R: A language and environment for statistical computing, will be used.
- Details
- Category: Discipline
- Law
- 530
- 2088
- Law of Succession
- ISMAT530-2088
- 4
- 6
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- HARA, Kenya. White . Lars Muller Publishers, 2010. JANEIRO, Pedro António. Arquitecturas-Ficcionadas: O Desenho . Lisboa: Chiado Editora, 2011. LUPTON, Ellen. La Bauhaus y Ia Teoria dei Diseno . Barcelona: G.G., 1994. NICOLAIDES, Kimon. The Natural Way to Draw . Boston: Houghton Mifflin Company, 1969. PINTO, Luís Moreira. História da Percepção na acção projectual . Tese de Doutoramento, 2007. (http://repositorio.uportu.pt/dspace/bitstream/123456789/300/1/TDH%2026.pdf
- Architecture
- 367
- 65
- Drawing I
- ISMAT367-65
- 1
- Bachelor; Master Degree
- 6
- 0
- 12
- Não
- Português
- EN
- Each exercise has specifical objectives, the materials to be used, the format to be presented, the duration Development of a set of practical exercises, elaborated and accompanied in class. Theoretical support and percentage of classification. The exercises will be appropriate to the objectives of the course, and consist of 3 main exercises (each one lasting 4 weeks), and there may be, whenever necessary, parallel exercises that allow a better understanding of the objectives. The works will be presented and discussed in the classroom. Each exercise will be presented in a A4 format. It will be introduced other areas oh knowledge, like literature or filosophy.
- Mandatory
- Develop the fundamental role of drawing in Project practice, understanding it as essential to represent the entire universe inherent in the practice of architecture. Provide the student with observation and representation skills, not only with all that surrounds him , but as well as conceptual thinking.
- DAAD - Department of Architecture, Arts and Design
- The syllabus of Design I is based on an exploratory path, first of the "Line"as an essential basic primary element, through the use of various conventional and unconventional materials and then of the "Spot", where it should be recognized its anatomy, its abstract condition and, consequently, its intrinsic intentionality and its expressive role in the message and narrative. Once the "Line" and "Spot" are explored, this knowledge will be applied to reading and representing objects at different levels, at different scales, in different relationships. The last phase will be the confrontation of these objects with the concepts of dimension, proportion, position, scale of space and the human figure, creating various levels of relationships and hierarchy.
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
portfólio
20/ 10/ 2025
30%
Portfolio
17/11/2025
30%
portfólio
19/01/2026
30%
Será obrigatório 75% de frequência às aulas. Não serão avaliados trabalhos nunca vistos e acompanhados. Os estudantes com estatuto especial de trabalhadores terão que entregar os trabalhos nas datas previstas, assim como os mostrar ao docente, durante o semestre. A participação nas aulas tem uma ponderação de 5%. O TRABALHOS NÃO DEVEM RECORRER A FOTOFRAFIA OU OUTRAS IMAGENS, A NÃO SER QUE ASSIM SEJA TRANSMITIDO, PODENDO O TRABALHO SER ANULADO.
- Semestral
- Drawing should be understood as a universal tool that translates the concrete world and ideas. In this sense, it is intended to stimulate and develop in the student: - Critical observation and analysis as well as creative imagination; - The exploration of graphic and expressive potentialities of different materials and specific instruments Drawing; - The understanding of the "Line" as a graphic expression of Drawing and for Drawing; - The discovery in the "Spot" of the expressive potentialities of graphic space, rhythm, tensions, movement, textures, etc .; - Critical reading of one or more objects through the identification of a mental and gestural path; - Understanding the concept of hand-scale and surrounding space (including the introduction of the human figure).
