- Details
- Category: Discipline
- Dean J. (2018). Web Programming with HTML5, CSS, and JavaScript. Ed: Jones & Bartlett Learning. Duckett, J. (2021). HTML and CSS: Design and build websites (2nd ed.). Wiley. Flanagan, D. (2020). JavaScript: The definitive guide (7th ed.). O'Reilly Media. Miquel Grinberg. (2018). Flask Web Development (2e). Ed: O'Reilly Media, Inc, USA Portela, F., & Queirós, R. (2018). Introdução ao desenvolvimento moderno para a Web: Do front-end ao back-end: Uma visão global. FCA. Ryan J. (2013). A History of the Internet and the Digital Future. Ed: Reaktion Books.
- Data Science
- 6321
- 11195
- Web Programming
- ISMAT6321-11195
- 3
- 6
- 0
- 12
- Não
- Português
- Through a methodology aimed at problem solving and also focused on project development, students consolidate the content acquired.
- Mandatory
- LO1. Understand the protocols and systems used on the Web. LO2. Know how to create the structure and layout of a web page with HTML5 and CSS3. LO3. Know how to apply interactivity on the client side with Javascript, DOM manipulation and events. LO4. Know how to create web services (APIs) on the server side supported by database. LO5. Know how to use SQL to implement CRUD operations in the Web application. LO6. Know how to use Web services as a client using Javascript and Ajax. LO7. Know how to plan, design and implement a Web application for distribution on the Internet. LO8. Know how to extract data from Web pages.
- S1. Internet model and protocols S2. HTML5 S3. CSS3 S4. JavaScript DOM and DOM events S5. Front End programming Create and structure Web Applications S6. Client / server communication (HTTP) S7. Web server Flask S8. Database: SQL and NOSQL S9. Simple Web applications Ajax Responsive Web Cookies and Sessions Authentication Input and Data Validation Registration and data management S10. Searching and collecting data on the web Data extraction from web pages Data cleaning and preparation
Descrição dos instrumentos de avaliação (individuais e de grupo): testes, trabalhos praáticos e ponderação na nota final.
Descrição
Data limite
Ponderação
Teste de avaliação
a definir
50%
TP1
a definir
25%
TP2
a definir
25%
O teste de avaliação é individual e os trabalhos práticos são em grupo (no máximo 2 elementos).
O TP1 consiste na programação da aplicação no lado do cliente.
O TP2 consiste na programação da aplicação no lado do servidor/backend.
O teste de avaliação inclui toda a matéria leccionada.
- Semestral
- Web Programming is a fundamental area in the development of digital solutions, playing a key role in websites, online platforms, and web applications used across various organizational contexts. This course unit aims to introduce the key concepts, technologies, and methodologies associated with web development, equipping students with the skills to design, implement, and maintain web pages and systems. It also seeks to foster an understanding of the various components of a web application, ranging from content structuring to user interaction and information processing. The Web Programming course unit aims to provide students with the knowledge and practical skills needed to develop web projects, thereby meeting the needs of Information Technology companies or any organization that relies on digital systems and requires the implementation, updating, or maintenance of web solutions.
- Details
- Category: Discipline
- Law
- 530
- 1646
- Administrative Law I
- ISMAT530-1646
- 2
- 7
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Tourism Management
- 6029
- 523
- Human Resources Management
- ISMAT6029-523
- 2
- 5
- 0
- 12
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Human Resources Management and Organisational Intervention
- 6349
- 23324
- Design Thinking for HR Transformation
- ISMAT6349-23324
- 1
- 6
- 926
- 12
- Não
- Português
- Optional
- Semestral
- Details
- Category: Discipline
- Cady, F. (2017). The Data Science Handbook. Wiley. Reis, F.L. (2018) Investigação Científica e Trabalhos Académicos: Guia Prático. Lisboa: Edições Sílabo.
- Data Science
- 6321
- 5140
- Final Course Work
- ISMAT6321-5140
- 3
- 14
- 0
- 12
- Não
- Português
- The teaching methodology includes tutorial and theoretical-practical teaching by the advisor. The development of the project in a public or private organization is privileged. In that case, a co-supervisor should be appointed in the organization. The methodologies are adapted to the specificities and needs of each project.
- Mandatory
- It is intended with this UC that students develop a complete project of Data Science, with real data, primary or secondary. LO1: Understand the context of the problem, define the objectives, the public of interest, the appropriate data and analysis techniques and the project's contribution to management, science or society; LO2: Develop the state of the art on the subject and the techniques to be applied; LO3: Defining and adopting the necessary ETL (Extract, Transform, Load) procedures, taking into account the available data sources, the respective levels of structure and the possible presence of missing and / or outliers, in order to ensure quality of the data; LO4: Dealing with data access and privacy problems; LO5: Apply the appropriate data analysis techniques to answer the project's objectives, using the appropriate computational resources; LO6: Prepare a scientific document suitable for the dissemination of the project; LO7: Make an oral presentation of the project results.
- S1. Contextualization, justification, objectives and methodology of the Data Science project S2. State of the art elaboration S3. Data processing and analysis S4: Discussion of results and obtaining insights S5. Preparation of scientific document and oral presentation of the main results
A avaliação contínua terá duas componentes:
- Documento escrito: 70%;
- Apresentação oral: 30%.
Dada a natureza da UC, não pode ser avaliada por exame.
- Semestral
- The Final Course Work curricular unit represents the culmination of the student's academic training, providing an opportunity to integrate and apply the knowledge, skills and methodologies acquired throughout the programme. Through the development of a project, applied study or research work, students demonstrate their ability to identify and solve problems independently, using scientific methods and Data Science techniques to address real-world challenges.
