Structured Programming
- Details
- Category: Discipline
- Não
- 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.
- 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
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...
- 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
- 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
- Mandatory
- 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
- Português
- •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
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- IPLUSO6382-22254
- Structured Programming
- 22254
- 6382
- Computer Applications for Data Science
