- Details
- Category: Discipline
- Não
- The fundamental goal of the Data Mining discipline is to give the student skills in transforming data into information to support decisions, in the context of large databases. Data Mining tools aim to identify future behaviors and trends, supporting the proactive and knowledge-based decision process. They can also answer business questions whose solution has traditionally been very complex from a computational point of view. Thus, this course deals with the themes and issues normally associated with the designations of Data Mining or Knowledge Discovery. In this course, the main methodological aspects of Data Mining will be presented, as well as the most important tools used. The practical component is one of the fundamental aspects of the discipline, so the ability to translate knowledge into practical actions and analysis decisions is particularly valued.
- Semestral
Descrição dos instrumentos de avaliação (individuais e de grupo), trabalhos práticos, testes teóricos, projetos e respetivas ponderações na nota final.
Descrição Ponderação Projeto prático 1 (Individual) 25% Projeto prático 2 (individual) 25% Projeto Final (de grupo) 20% Teste teórico final (individual) 20% Assiduidade 10% - 1. Introduction to Data Mining (6h) - Fundamental concepts: what is Data Mining - Differences between Data Mining, Big Data, Business Intelligence and Machine Learning - The Knowledge Discovery in Databases (KDD) process - Real-world use cases in various areas (healthcare, retail, finance, etc.) 2. Data Preparation and Exploration (6h) - Data types and data quality - Cleaning, transformation and normalization - Exploratory analysis: basic statistics, histograms, boxplots - Sampling techniques 3. Data Exploration Techniques – Part I (9 pm) 3.1 Classification and Regression (9h) 3.2 Clustering (6h) 3.3 Membership Rules (6h) 4. Model Validation and Evaluation (6h) - Training/test split, cross-validation- Overfitting and underfitting- Confusion Matrix, ROC/AUC curves 5. Tools and Workflows in Data Mining (6h) - Presentation of graphical tools: KNIME, RapidMiner, Orange - Creation of visual Data Mining pipelines- Integration with external data sources
- This curricular unit aims to address the process of knowledge discovery in databases and the most common methodologies in Data Mining; It is intended that students understand the possible tasks of Data Mining, namely classification, forecasting, trend analysis (time series), grouping, sumarization (and visualization) or association; It is also intended to approach a set of techniques generally used in the implementation of Data Mining, such as decision trees, association rules, linear regression, artificial neuronal networks, genetic algorithms or Bayes networks; Another important goal is the use of an online platform for the application of the theoretical concepts.
- Mandatory
- Use of digital analytics apps and plataforms in support to the learn process, such as: - Microsoft Power BI - SAS Viya for Learners - Linguagem Python - Knime, RapidMiner, Orange
- Português
- Han, J., Kamber, M., Pei, J. (2012). Data Mining - Concepts and Techniques, Elsevier Gama, J., at al (2017). Extração de conhecimento de Dados – Data Mining. Edições Sílabo
- 4
- 0
- 5
- 2
- IPLUSO6030-15430
- Data Mining
- 15430
- 6030
- Information Systems Management
- Details
- Category: Discipline
- Não
- The subject of Quantitative Methods is part of the field of action of mathematics and statistics. The aim of this discipline is to provide participants with methods and tools that help them in daily operations related to mathematical reasoning and tasks that require quantitative skills, research, analysis and data presentation.
- Semestral
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 1
A acordar com os alunos 50%
Teste de avaliação 2
A acordar com os alunos 50%
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...
- Concept Review Introduction / The data Data presentation: tables and graphs Frequency distribution Location Measures Dispersion and Concentration Measures Asymmetry and Kurtosis Measures Index numbers Association between two variables / Linear Regression and Simple Correlation Time series Application of statistical methods to the management of I.S. Study of statistics in digital support Statistical tests
- Deepen the ability to perform intellectual activities that involve mathematical reasoning; Learn to use mathematics and statistics in understanding situations in reality; Develop a critical sense regarding mathematical and statistical procedures and results;
- Mandatory
- Case study method Field investigation work Practical exercises in class Use of questionnaire and data analysis technologies such as SPSS, Typeform, Google Forms and Microsoft Excel
- Português
- Reis, Elizabeth. (2008). Estatística Descritiva, 7a Ed., Lisboa: Edições Sílado; Barroso, M., Sampaio, E. e Ramos, M. (2010). Exercícios de Estatística Descritiva para as Ciências Sociais. Lisboa: Edições Sílabo
- 4
- 0
- 5
- 1
- IPLUSO6030-4944
- Quantitative Methods
- 4944
- 6030
- Information Systems Management
- Details
- Category: Discipline
- Não
- The Programming II course focuses on web development, providing students with fundamental knowledge and skills for creating dynamic web applications. Using HTML, CSS, and Python/Django, students will learn to structure, style, and program interactive websites, strengthening essential frontend and backend development practices. The course falls within the area of programming and software engineering, covering the development and maintenance of web applications, frotend and backend, with a focus on creating responsive interfaces, database integration, and the implementation of Information Systems, applying good programming and security practices. This course unit is essential in the study cycle, as it equips students with fundamental skills for the digital market and information management on the web.
- Semestral
Descrição
Data limite
Ponderação
Observações
Projecto de grupo
22-06-2026
70%
Projecto tem 3 entregas ao longo do semestre
Detalhes abaixoDefesa
22-06-2026
15%
Defesa em grupo, mas com avaliação individual Trabalhos individuais
(em aula ou em casa)Vários
15%
Web design 20% N/D
Após aula 4Desenho de página Implementação com HTML e CSS Site dinamico com JS 35% N/D
Após aula 9Eventos e DOM Formulários e validação Armazenamento local Integração com API Boas práticas e testes Entrega / Avaliação 45% N/D
Após aula 15Gestão de utilizadores e autenticação Diferenciação de perfis de utilizador Controlo de sessões Ambiente multi-utilizador Persistência de dados com Base de Dados WebApp Os trabalhos de grupo são desenvolvidos em plataforma Docker, em modelo uniforme disponibilizado no início do semestre. Os alunos são incentivados a colocar os trabalho na plataforma GitHub para facilitar o acesso e interacção com o docente. Na entrega final, apenas será entregue código fonte, submetido em plataforma Moodle
- Introduction to Web Development Frontend, backend, HTTP concepts and client-server model. Frontend Languages: HTML, CSS, and JavaScript Page structuring, responsive design, and accessibility. Backend Languages: Python Python in Web development Variables, operators, control structures Best practices. Functions and Data Handling Functional programming for the web Data types Data handling and structures Code organization. Forms and User Interaction Interaction methods: POST and GET. Data validation and sanitization Data persistence Sessions and Cookies Authentication, content personalization, and security. Files and Directories Reading, writing, uploading, and organizing dynamic content. Modular Programming Use of includes and require for code reuse. Security Prevention of code injection, XSS, and CSRF. Practical Project Development of a dynamic and secure web application.
- The curricular unit Programming II aims to develop solid knowledge in web development in students, enabling them to create dynamic applications using HTML, CSS, and Python. Students will acquire skills in structuring and styling web pages, implementing interactivity, managing databases, and integrating dynamic components. In addition, they will be able to apply good programming practices, security, and optimization, ensuring the scalability and efficiency of applications. The CU also promotes problem-solving in information systems development, integratig functionality and data presentation to end users (frontend) and the development of programming logic and data access and manipulation (backend). Upon completion, students will have the aptitude to design, develop, and maintain functional, interactive, and secure websites and web applications, consolidating the link between theory and practice in a professional context.
- Mandatory
- The curricular unit of Programming II adopts innovative methodologies to optimize the teaching-learning process, combining theory and practice in dynamic approaches. It uses project-based learning, built throughout the semester and incremented with each new content, where students develop real-world web applications, promoting autonomy and problem-solving. The hands-on methodology encourages students to apply the concepts and languages addressed from the very beginning. The use of interactive classes with practical challenges stimulates active participation, while collaborative tools allow continuous review and feedback. Learning is complemented by digital resources and tools widely used in the industry (e.g., GitHub), encouraging engagement, collaborative work, and consolidating knowledge. These strategies ensure teaching aligned with market demands, preparing students for real challenges in web development.
- Português
- Flanagan, D. (2020). JAVASCRIPT : the Definitive Guide. O'Reilly Media, Inc. (ISBN: 978-1491952023) Zelle, J. (2024). Python Programming: An Introduction to Computer Science, 4th Edition. Franklin, Beedle & Associates (ISBN: 978-1590282977) Vincent, W. (2024). Django for Beginners, 5th Edition. Still River Press (ISBN: 978-1735467269) Mele, A. (2024). Django 5 By Example, 5th Edition. Packt Publishing (ISBN: 978-1805125457)
- 4
- 0
- 5
- 1
- IPLUSO6030-13151
- Programming II
- 13151
- 6030
- Information Systems Management
- Details
- Category: Discipline
- Não
- Information Systems today play a fundamental role in Organizations. So it is It is essential that everyone has the knowledge that allows them to use the Systems in a way that them to take away their full potential. This UC aims to provide students with skills that allow them to use Information to its maximum potential, as well as understanding what types of systems should be used for each desired solution, and be able to participate in their selection and management. A great emphasis will be placed on the practical use of "Office" productivity tools, in special in the field of the potential of Spreadsheets and Databases, even for the production of macros that make it possible to analyze and process the information contained, through the use of the programming languages ¿¿visual basic and sql respectively.
- Semestral
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
10-01-2026
35%
Avaliação prática - Word/Excel/Access
17-01-2026
35%
Apresentação Trabalho Grupo
24-01-2026
30%
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...
- Introduction to IS/IT - Information Systems and Technologies General Concepts and evolution of IS (PC, Spreadsheet; Networks/Internet) Systems and Technologies of information Information in organizations Integrated Management Systems Database Management Systems - Database Design Business information systems Understanding ERP - Enterprise Resource Planning SCM - Supply Chain Management CRM - Customer Relationship Management Business Intelligence - Datawarehouse, OLap and datamining Knowledge management in organizations Word Processor Document formatting: Styles, Images, Tables Document automation: Indexes, Citations and Bibliography Insertion of objects Spreadsheet Manipulation of Formulas and Functions Formatting of Cells Use of lists, Sorts and Aggregations Manipulation of Sheets Formatting of Charts
- Students are expected to develop the following skills: Understand the growing importance of Information Systems in organizations, in all areas of management. Learn how to use Information Systems to streamline administrative processes in organizations. Know the main types of Business Systems, especially the modules of internal processes of ERP (Enterprise Resource Planning), CRM (Customer Relationship Manager) and SCM (Supply Chain Management). Learn how to use Office Productivity Tools, especially Microsoft Excel. Know the main existing Business Intelligence solutions, especially systems based on Datawarehouse, OLap and Datamining. Know the latest Mobile and Cloud based solutions for the enterprises. Learn to deploy and manage security policies in information systems.
- Mandatory
- Methodology: The expository methodology is used, alternating with practical hands-on exercises and case studies. Students are encouraged to investigate related topics and prepare presentations with the results of the research. Evaluation: Individual final written test: 35% Completed at the end of the semester and containing the entire subject matter. Practical evaluation: 35% Practical work - Conducted throughout the classes focusing on the practical components (Excel, Html, Databases, etc.) Group assignment: 30% Research on a theme in groups of 2 or 3 students and preparation of a presentation to evaluate the knowledge acquired on the theme
- Português
- Frye, Curtis - Microsoft Excel 2016 Passo a Passo. Edição em Português. Brasil. Bookman, 2016. ISBN 9788582603956. Rascão, José - Sistemas de Informação para as Organizações. Edições Sílabo. 2004. ISBN: 9789726183303. Lopez, Yanai - Sistemas de informação para a Gestão. Escolar Editora. 2013. ISBN: 9789725923740. Slides/Folhas de apoio disponibilizadas pelo docente no âmbito dos sistemas informação.
- 4
- 0
- 5
- 1
- IPLUSO6030-25
- Introduction to Computer Science
- 25
- 6030
- Information Systems Management
- Details
- Category: Discipline
- Não
- The general objectives will be: cognitive, linguistic and socio-cultural. They will be oriented in the oral practice as in writing to the needs of the future professional activity of the students. Students will be able to: develop reading comprehension, develop listening comprehension, practice written expression, practice oral use. The student is able to understand the main issues when using clear and standardized language and familiar subjects (topics covered at work, at school and in leisure time, etc.). He is able to deal with most situations found in the region where the target language is spoken
- Semestral
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...
- Acquisition, development and consolidation of knowledge about the culture and language of the country of the tourists in an intercultural context. Skills to be acquired by the end of the semester in an oral and written context: grammatical skills, communicative skills, specific tourism skills.
- The student should be capable to use the Spanish language in several communicative contexts on subjects that are him/her family, of personal interest and/or professional as mediation instrument, information and contact with customers and institutions can describe experiences and events, dreams, hopes and ambitions, as well as to expose reasons and justifications shortly for an opinion or a projecto. The student should use, in an appropriate way, the inherent lexical contents to the thematic areas of the program
- Mandatory
- Cooperative learning is based on teamwork and the achievement of common goals, which can only be achieved if each member fulfills his or her task. Among the types of teaching methodology, this is the most focused on collaboration. Groups of three to six members are formed, in which each person has a certain role. To achieve the defined goal, everyone must work in a coordinated manner and resolve possible conflicts, leaving aside competitiveness and prioritizing the common good. This teaching methodology offers the opportunity to improve social interaction, teamwork, task involvement, and attention The flipped classroom, also known as flipped classroom, is a pedagogical model in which traditional elements are inverted: students study the subjects at home and work them in the classroom.
- Português
- Apostila creada por la Professora Alejandra Torres. Turismo 1 . Curso de Español para profesionales. Ed. SGEL. Ana Isabel Blanco.
- 4
- 0
- 4
- 2
- IPLUSO3572-9888
- Spanish Language III
- 9888
- 3572
- Hotel and Restaurant Management
