Realization Workshop

Category: Discipline
  • MARTIN, Marcel (1994) LE LANGAGE CINÉMATOGRAPHIQUE , les editions du cerf, Paris. SALT, Barry (1983) - Film Style and Technology, History and Analysis Starfors, Londres. KATZ, Steven D. (1991) - Film Directing Shot by Shot: Visualizing from Concept to Screen. Studio City: Michael Wiese Productions / Focal Press, USA. KATZ, Steven D. (2004) - Film Directing: Cinematic Motion, (2nd edition). Studio City: Michael Wiese Productions / Focal Press, USA. RABIGER, Michael (2007) - Directing: Film Techniques and Aesthetics, (4th Edition). Oxford: Focal Press, USA. Arijon, D. (1991). Grammar of the film language. Silman-James Press, Los Angeles.
  • Audiovisual Content Production
  • 6142
  • 22271
  • Realization Workshop
  • IPLUSO6142-22271
  • 1
  • 4
  • 0
  • 4
  • Não
  • Português
  • In the Directing Workshop, innovative methodologies will be implemented to support the teaching-learning process, favoring a practical and collaborative approach. Software will be used to create technical maps and storyboards, as well as to visualize possible film scenarios, which will allow students to experience the different stages of audiovisual production in a controlled environment. Workshops with industry professionals will also be promoted, creating a learning environment based on real projects. The school's platforms will be used for continuous monitoring and personalized feedback. These methodologies aim to stimulate creativity, autonomy and the development of practical skills in line with the demands of the audiovisual market.
  • Mandatory
  • This course aims to provide students with the conceptual tools and technical knowledge necessary for the first ability to create an audiovisual product. Stimulate individual creativity and collective work, as well as work hierarchy and respect for others.
  • the language of cinema plan and score film continuity The realization experience The triangle principle technique The Master shot, the shot and reverse shot and the inserts The multiplicity of angles Camera and movement. The stages of film work Planning, Shooting Map and Service Sheets Shooting Editing and post-production the team work Different genres: entertainment, advertising, education

  • 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

    dd-mm-yyyy

    30%

    Portfolio

    dd-mm-yyyy

    40%

    (...)

     

     

     

    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 Realization Workshop brings together all areas of audiovisual production, from the idea implemented in a script, to the work of capturing images and sound, passing through lighting, to its implementation through editing and post-production. Along with production, realization is what makes any audiovisual project come true.

Quantitative Methods

Category: Discipline
  • Simões, Vasco - Álgebra Linear. 1ª Edição. Lisboa: Edições Orion. 2013. ISBN: 978 972 862 0240 Cabral, I., Perdigão, C., Saiago C. - Álgebra ¿ Teoria e Exercícios. 1ª Edição. Lisboa: Escolar Editora. 2009. ISBN: 978 972 592 239 2 Magalhães, L. T. , Álgebra Linear como introdução à Matemática Aplicada, Texto Editora, 2001 Monteiro, A.; Pinto, G. (1997). Álgebra Linear e Geometria Analítica. Problemas e exercícios, McGraw-Hill. 
  • Development for the Web and Mobile Devices
  • 6378
  • 4944
  • Quantitative Methods
  • IPLUSO6378-4944
  • 1
  • 6
  • 0
  • 4
  • Não
  • Português
  • Possibility of using appropriate software to carry out certain tasks.
  • Mandatory
  • - Operate with matrices. - Know the properties of operations with matrices. - Distinguish different types of matrices and identify their properties. - Condense and reduce matrices. - Calculate inverse matrices - Analyze the nature of systems of linear equations and solve them whenever possible. - Know the properties of determinants and perform calculations with determinants. - Complementary minors and assistant. Laplace's Theorem. Cramer's Rule. - Determine eigenvalues and eigenvectors and diagonalize a diagonalizable matrix. - Calculate and interpret geometrically the inner, outer and mixed product. - Acquire skills in terms of logical and deductive reasoning, ability to abstract; - Develop reflection and criticism skills. - Encourage persistence in analyzing situations and making decisions.
  • 1. Matrices: notion and properties. Operations with arrays. 2. Characteristics and Condensation of matrices. 3. Systems of linear equations. Systems types. Discussion and resolution of systems. 4. Invertible matrices. 5. Determinants: Notion and properties. 6. Complementary minors and adjunct matrix. Laplace's Theorem. Cramer's Rule. 7. Vectors and eigenvalues. Similar arrays. Diagonalization of matrices. 8. Inner product, outer product and mixed product.  

  • Elementos de avaliação

    Data limite

    Ponderação

    1ª Frequência de avaliação escrita

    Semana 8

    40%

    2ª Frequência de avaliação escrita

    Semana 14

    45%

    Trabalho escrito

    Componente de participação ( contexto e pertinência das questões levantadas,
    tarefas desenvolvidas na aula e assiduidade).

    Semana 12

    Ao longo do semestre

    10 %

    5 %

     

     

     
  • Semestral
  •   In a post-secondary cycle of studies in the area of technologies and the like, the curricular units in the scientific area of Mathematics play a relevant role. They are essential for students acquire basic knowledge needed in other curricular units of the cycle of studies that require mathematical knowledge or skills and competences acquired through work in the units of this area. The Quantitative Methods unit assumes a fundamental and relevant role in the beginning of students' mathematical training. Mathematical contents are essential in the training of qualified staff, whether in understanding and consolidating the different concepts, or in the specific knowledge of their applicability and in the development of new skills and competences acquired through work on the curricular unit. Much of what is explored about matrices has a wide application in other areas of this cycle of studies and others in the CNAEF 481 area where students can continue their studies.

Social Entrepreneurship

Category: Discipline
  • Drucker, P.F. (1985) Innovation and Entrepreneurship Perez, C. (2002) Technological - Revolutions and Financial Capital. Edward Elgar Rogers, E.M. (2003) Diffusion of Innovations. Focal Press Venkataraman, V. (2010) Entrepreneurship. University of Virginia Darden Business School Sarasvathy, S. (2001) What Makes Entrepreneurs Entrepreneurial. University of Washington School of Business Sloman, J., et al. (2016) Economics for Business. Pearson Recursos Didáticos: - Sala com quadro e Vídeo projetor  
  • Monitoring Children and Young People
  • 6149
  • 15641
  • Social Entrepreneurship
  • IPLUSO6149-15641
  • 2
  • 6
  • 0
  • 4
  • Não
  • Português
  • The teaching methodology includes the expository method (ME1) to present the necessary content, the demonstrative (ME2) to illustrate its application to some practical cases and the active method (ME3) for solving some cases in the classroom, with and without using the computer . The assessment of knowledge is carried out by carrying out two tasks and a exam First work - Analysis of an article that involves the subject to be taught combined with the presentation of UC chapters Second Work – Creating a project for the launch of a product/service that supports UC Exam
  • Mandatory
  • Students will be encouraged to think logically and critically, to investigate, to communicate clearly, orally and in writing, to present information, and to work as a team. The curricular unit is of a theoretical-practical nature.
  • Students will be encouraged to think logically and critically, investigate, communicate clearly, both orally and in writing, present information, and work as a team. The curricular unit is theoretical-practical in nature. The theoretical component focuses on the concepts and the practical part consists of investigation and application of concepts to the basic development of business ideas. Syllabus: Types of Entrepreneurship The role of entrepreneurship in society The stage of development of entrepreneurship in the World and in Portugal Study cases The creative and innovation process Idea generation techniques Business plan Types and creation of companies Social Entrepreneurship The new revolution caused by the pandemic, by hybrid work and by the globalization of markets

  •  Avaliação contínua

    • Entrega e apresentação de dois trabalhos e realização da frequência
    • O Aluno que não realizar, não entregar e não apresentar a totalidade dos trabalhos e efetuar a frequência, realiza a UC em época de exame através de uma frequência sobre a matéria teórica/prática apresentada ao longo do semestre e disponível no Moodle.
    • O Aluno que realizar, entregar e apresentar a totalidade dos trabalhos e tiver efetuado a frequência, realiza a UC desde que a média final seja igual ou superior a 10 valores.
    • Os trabalhos serão avaliados segundo os seguintes critérios:
      • (A) Conteúdos e fundamentação dos trabalhos: 70%
      • (B) Apresentação e defesa dos trabalhos: 30%
      • A nota final é a média ponderada dos dois elementos de avaliação (Conteúdos e fundamentação dos trabalhos e Apresentação e defesa dos trabalhos)
      • Cada elemento de avaliação (Conteúdos e fundamentação dos trabalhos e Apresentação e defesa dos trabalhos) tem a média baseada nos 2 trabalhos apresentados.
      • A nota de um aluno dentro do mesmo grupo, pode não ser igual à dos colegas do mesmo grupo, pois depende da sua apresentação e defesa do trabalho.
      • A nota mínima de cada trabalho tem de ser superior a 8 valores
      • Os trabalhos podem ser realizados individualmente ou em grupo (até 4 alunos)
    • A nota mínima da frequência tem de ser superior a 8 valores
    • A nota final para aprovação tem de ser igual ou superior a 10 valores e é a média ponderada dos 2 trabalhos, da frequência e da Participação, assiduidade, comportamento e atitudes

    Época de exame, recurso ou especial

    • O Aluno que não realizou, não entregou e não apresentou a totalidade dos trabalhos e fez a frequência, realiza a UC em época de exame através de uma frequência sobre a matéria teórica/prática apresentada ao longo do semestre e que se encontra disponível no Moodle
    • A nota final para aprovação tem de ser igual ou superior a 10 valores

    Descrição

    Data limite

    Ponderação

    Análise de paper e criação de trabalho

    20 de Outubro

    20%

    Apresentação trabalho final

    Penúltimo dia de aulas

    40%

    Participação, assiduidade, comportamento e atitudes

     

    10%
    Frequência Ultimo dia de aulas 30%

     
  • Semestral
  • The Social Entrepreneurship Unit has as main objective to transmit to students the fundamentals of social entrepreneurship, creative processes, creation of new companies, development of new products and/or services in companies to be created or already existing in the social area.

Decision Support Systems

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.  
  • Automation and Computer Systems
  • 6865
  • 21902
  • Decision Support Systems
  • IPLUSO6865-21902
  • 3
  • 5
  • 0
  • 4
  • 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:

    Nota Final (NF) = 0.4T+ 0.4TP1+0.2TP2

    Legenda e datas dos momentos de avaliação:

    Teste de avaliação (T):  18/06/2026

     Entrega do 1º Trabalho Prático (TP1) - 24/04/2026

    Entrega do 1º Trabalho Prático (TP2) - 15/06/2026

    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.

Web Programming

Category: Discipline
  • Slides e tutoriais fornecidos pelo docente; World Wide Web Consortium and W3 Schools Resources (W3 Schools: http://www.w3schools.com); Eric Freeman e Elisabeth Freeman, "Head First HTML with CSS & XHTML", O?Reilly; Marijn Haverbeke, "Eloquent JavaScript, 3rd Edition: A Modern Introduction to Programming", No Starch Press., 2018; David Flanagan, "JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language", O'Reilly Media, Inc, 2020. Ben Frain, "Responsive Web Design with HTML5 and CSS, 3rd Edition", Packt Publishing, 2020.  
  • Computer Engineering and Applications
  • 6615
  • 11195
  • Web Programming
  • IPLUSO6615-11195
  • 2
  • 6
  • 0
  • 4
  • Não
  • Português
  • The classes will have a detailed theoretical exposition of the fundamental concepts, principles and techniques, combined with a strong practical component, through the resolution of exercises proposed by the teacher. Their fundamental aim is to make the link between theoretical concepts and their practical application. Students are expected to develop, implement and test a small project autonomously with some support from the teacher. Some topics may be reserved for autonomous work, outside of contact hours, and will then be discussed in class or later in the final project. More practical teaching methodologies are used, with appropriate and up-to-date digital tools (suitable software), as the software development market requires.
  • Mandatory
  • The objectives of this curricular unit have as notions the use of web development/programming tools, from their creation, responsiveness and integration in a real environment. For this it is necessary: Identify the basic concepts executed on the client side (Front-end developing), since models, operation and infrastructure of the World Wide Web; Know the various technologies, tools, design patterns and programming languages most commonly used in web software development. Be able to evaluate and manipulate pages using HTML5, as well as the various styles of structured web pages (CSS). Apply and manipulate HTML5 objects through scripting in web page development (javascript); Know how to identify server-side Web technologies. Design and autonomously implement dynamic and adaptive pages, applications and/or services that function properly on the Web on various devices.
  • 1.Overview of concepts in web programming: How a web page works: DNS, Domains and subdomains, IP and HTTP/HTTPS protocols; Web architecture and applications; Client-Server model and its most used programming languages. 2.Introduction to the concepts of design and properties in web pages through markup languages (HTML5 & CSS3): Structure and Navigation; Composition of a Web page; Design concepts and elements of composition; Properties and forms; Responsive design. 3.Introduction of the concept of web development (client-side - front-end): Programming models (syntax, variables, operators, control structures and functions); Interactivity; Concept of AJAX and jQuery; Types of information (JSON & XML). 4.Evaluation of performance, and accessibility of a web page: Web page search techniques (SEO) and accessibility; Introduction to the notions of sessions, cookies, etc. 5.Development of the final project of the UC.

  • A avaliação será feita através de dois testes com ponderação de 50% com componente teórica e prática, onde a parte prática se resume a um ou dois exercícios similares aos propostos da componente prática da cadeira, de um projeto de programação com ponderação de 35%, exercícios realizados durante as aulas com ponderação de 10% e trabalhos para casa com ponderação de 5%.

    Descrição

    Data limite

    Ponderação

    Teste de avaliação 1 (Individual)
    Teste de avaliação 1 (Individual)

    06-11-2025
    18-12-2026

    25%
    25%

    Participação em Aula (Individual)

    19-12-2025

    10%

    Trabalho prático (Grupo)

    04-01-2026

    35%
    Trabalhos para casa (Individual) N/A 5%

     

    Condições necessárias para aprovação à disciplina

    • (Teste de avaliação_1 + Teste de avaliação_2) / 2 >= 9 Valores

    • Trabalho prático >= 9 Valores

    Nota Final = Testes de avaliação * 0.5 + Participação em Aula * 0.10 + Trabalho prático * 0.35 + Trabalhos para casa * 0.5

     
  • Semestral
  • The UC of Web programming, aims to teach and demonstrate how are designed, structured and programmed web pages, which connect the various users who interact with the various services hosted on the server side. They focus primarily on the client side (front-end developing), using from the various styles, scripts and other current technologies, and architect and develop web pages capable of hosting desired information and display to the user regardless of the device used.
  1. Criação e Comunicação Digital
  2. Veterinary Pharmacy
  3. Reproduction and Obstetrics
  4. Mathematics Workshop

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