- Details
- Category: Discipline
- Cintra, Lindley & Cunha, Celso. Nova Gramática do Português Contemporâneo . 12.ª edição. Lisboa: Livraria Sá da Costa, 1996. Duarte, Inês. Língua Portuguesa, Instrumentos de Análise. Universidade Aberta, 2000. Faria, Isabel Hub et al. Introdução à Linguística Geral e Portuguesa. 2.ª edição. Lisboa: Caminho, 2005. Lopes, Óscar & Saraiva, A. J. História da Literatura Portuguesa. 17.ª edição. Porto: Porto Editora, 1996. Raposo, Eduardo Paiva & al . Gramática do Português. Lisboa: Fundação Calouste Gulbenkian, 2013. Nascimento, M. Fernanda Bacelar do, Marques, Lúcia Garcia & Cruz, Luísa Segura. Português Fundamental. Vocabulário e Gramática. Vol. I. Lisboa: INIC/CLUL, 1984.
- Accounting and Management
- 3564
- 18455
- Portuguese
- IPLUSO3564-18455
- 1
- 5
- 0
- 4
- Não
- Português
- The use of technology is considered as innovative methodology to support the teaching-learning process.
- Mandatory
- The CU aims to produce the following learning outcomes: Knowledge of linguistic and non-linguistic strategies used explicitly and implicitly to achieve different communicational goals Ability to reflect critically on the texts produced by others and by the students themselves, considering their respective communicational objectives Ability to produce texts in diversified contexts and with diversified goals, autonomously, ensuring they are correct in spelling and grammar, as well as possess internal cohesion and coherence Ability to articulate arguments in a coherent and structured.
- Language as a communication tool. Recap of aspects of the language with relevance to the projects to be undertaken From the sentence to the paragraph: strategies to develop an idea and write a paragraph Elements of textuality: pragmatic and linguistic The writing of academic texts Some types of academic texts: critical review, report, abstract, monography, dissertation, thesis Aspects to consider when writing academic texts: planning, information gathering (sources), structure, revision Pre-textual, textual and post-textual elements Referencing sources (APA and Portuguese Norm) The issue of plagiarism The writing of texts from the business/professional area Some types of business/professional texts Aspects to consider when writing business/professional texts: planning, information gathering, structure, revision Reading and analysis of texts from a number of authors and in diversified registers
Descrição
Data limite
Ponderação
Testes escritos
29-10-2025
17-12-2025
07-01-2026
25%
25%
25%
Apresentação oral
14-01-2026
25%
Assiduidade e participação
-
Poderá valorizar a nota em mais um valor
- Semestral
- The Curricular Unit aims to: Stimulate the deliberate use of the resources of Portuguese Foster discourse competencies with a view to achieving a greater degree of intent in communication Apply writing techniques with a view to more effective communication Develop students' ability to analyse texts critically Encourage the production of various types of texts, considering correction of writing (spelling and grammar) as well as the requirements of the type of text in question.
- Details
- Category: Discipline
- •Behrman, K., Brodbeck, H., (2022) Fundamentos de Python para Ciência de Dados, Bookman •Costa, E.(2015) Programação em Python Fundamentos e Resolução de Problemas, FCA •Behrman, K. (2022) Foundational Python For Data Science, Pearson Education •Forbellone, A.L.V., Eberspächer, H.F.,(2022) Logica de Programação, 4ªedicao, Bookman Apontamentos e slides fornecidos pelo docente
- Computer Applications for Data Science
- 6382
- 22254
- Structured Programming
- IPLUSO6382-22254
- 1
- 4
- 0
- 4
- Não
- Português
- The assessment is carried out through a presentation and analysis of an academic article, within the scope of the development of applications in data science (AA), the development and presentation of group work, aiming at the development of an application in Python, applied to data science (TG) and a written test (T), with a view to evaluating the knowledge developed here. In this way, the Final Grade obtained (NF) results from the application of the following formula: . NF = 0.30*AA+0.30*TG+ 0.40*T Where: AA - Presentation and analysis of an academic article within the scope of the development of applications for data science TG - Development and presentation of group work, aiming to develop an application in Python T – Written test, with a view to evaluating the knowledge developed here Practical exercises will also be developed throughout the classes
- Mandatory
- OA1 - Introduction to computer programming: programming languages ¿¿(high and low level) paradigms, interpreters. OA2 - Introduction to programming logic, algorithms and data structure OA3 - Data Structure in Python: general types (integer, float, boolean, ..), Lists, Dictionaries, Sets, Tuples OA4 - Repetition structure and conditionals in Python (while, for, if, switch, etc.) OA5 - Functions and Libraries in Python and their application in data science OA6 - Interaction with other systems/programming languages
- CP1 - General programming topics: high and low level languages, algorithms, interpreters and compilers CP2 - Notions of Programming Logic: Imperative/structured programming CP3 - Data Structure (Lists, Dictionaries, Sets, Tuples, Matrices, General Types (float, integer, string,..) CP4 - Conditional Structures CP5 - Repetition Structures CP6 - Interaction with the user and main program CP7 - Functions and libraries, and their applicability in data science CP8 - Interaction with other programming languages/software/systems: sql databases and Excel spreadsheets
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
13-01-2026
30%
Analise de um artigo académico no âmbito do desenvolvimento de aplicações para ciência de dados (apresentações)
09-12-2025
40%
Trabalho de projecto (apresentações)
20-01-2026
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...
- Semestral
- The Structured Programming course aims to provide students with the foundations of structured/Imperative programming, developing and applying concepts of programming logic, algorithms and data structures, through the use of the Python programming language. In this UC, the development of applications in Python, its application in data science, as well as its interaction with other systems/programming languages, such as databases and spreadsheets, are also explored.
- Details
- Category: Discipline
- Livros Zelle, J. M. (2024). Python Programming: An Introduction to Computer Science (4th ed.). Franklin, Beedle & Associates Inc. Matthes, E. (2023) Python Crash Course: A Hands-on, Project-Based Introduction to Programming (3rd ed.). No Strach Press
- Information Systems Management
- 6030
- 13147
- Programming I
- IPLUSO6030-13147
- 1
- 5
- 0
- 4
- Não
- Português
- The Curricular Unit employs innovative methodologies to enhance teaching and learning, including Project-Based Learning (PBL), which applies theoretical concepts through real projects. Gamification incorporates game elements to boost student engagement and motivation. Blended learning combines in-person and online classes, providing flexibility and diverse resources. Collaborative learning through group work and digital platforms develops teamwork and socio-emotional skills. Interactive tools like quizzes and simulators reinforce knowledge dynamically and personally. These methodologies create an active, student-centered environment, facilitating the acquisition of essential skills for the modern professional market.
- Mandatory
- The learning objectives of the Curricular Unit Programming I aim to provide students with a solid understanding of fundamental programming concepts, including Python language syntax, data structures, and programming paradigms. Additionally, the course seeks to develop practical skills in writing, debugging, and testing Python code, as well as using development tools. The competencies to be acquired encompass the ability to efficiently solve computational problems, algorithmic thinking, collaborative work on software projects, and adaptability to new technologies, preparing students for professional and academic challenges in the field of computer science.
- Introduction to Programming and Development Environment Variables, Data Types, and Operators Control Flow Structures Functions Data Structures File Manipulation Working with Databases Object-Oriented Programming Exception Handling Libraries and Modules Practical Projects
Elementos de Avaliação
Descrição Data Limite Ponderação Teste de Avaliação 09-01-2025 30% Avaliação teórica abrangendo todos os conteúdos abordados ao longo do semestre Projeto Prático - Parte I 23-11-2005 20% Desenvolvimento de um projeto individual ou em grupo para construção da estrutura base de uma solução para enunciado disponibilizado
- Conteúdos até aula 7
- Aula 8 para dúvidas e trabalho acompanhado em sala
Projeto Prático - Parte II 23-01-2026 20% Continuação e finalização do projeto
- Acrescenta PO-O e persitência de dados (ficheiro/base de dados).
- Trabalho a completar em aula
Apresentação e Defesa de Trabalho 23-01-2026 20% Defesa de trabalho realizado, com explicação de código e demonstração de resultados Participação e Colaboração ao longo do semestre 10% Avaliação contínua da participação nas aulas, trabalhos em grupo, tutoriais e utilização da plataforma Moodle. - Semestral
- The Curricular Unit Programming I introduces the fundamentals of programming using the Python language, encompassing programming logic, control structures, functions, and data manipulation. The scope of action includes the development of computational solutions, fostering problem-solving skills and algorithmic thinking. The area of application extends to computer engineering, data science, and automation, allowing interventions in various technological domains. The relevance of the Curricular Unit in the study cycle lies in providing the essential foundation for advanced courses, empowering students for the professional market and academic progression.
- Details
- Category: Discipline
- Accounting and Finance
- 7157
- 27488
- Accounting in the Public Sector
- IPLUSO7157-27488
- 3
- 5
- 0
- 4
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Commercial Management
- 6814
- 6531
- Financial Accounting
- IPLUSO6814-6531
- 1
- 6
- 0
- 4
- Não
- Português
- Semestral
