You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Computational Mechanical Engineering
  4. Computers and Programming

Computers and Programming

Code 16132
Year 1
Semester S1
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area Systems and Computers
Entry requirements N.A.
Learning outcomes This course is designed to equip students with the following competencies: (i) understanding data types and syntax used in Python; (ii) the ability to develop and structure dynamic programs in Python, employing relevant data structures; (iii) the skill to organize and segment programs in Python to effectively partition functionalities for problem-solving; and (iv) proficiency in reading and producing files while managing errors/exceptions that arise during program execution, in addition to enhancing program functionalities with external Python libraries. In terms of skills, students will be capable of: structuring abstract thinking to interpret problems presented in natural language and translating them into Python programs; writing dynamic Python programs while addressing errors/exceptions that may occur; segmenting programs to partition functionalities based on specific problem requirements; and utilizing data structures and libraries that are suitable for effective problem-solving.
Syllabus 1. Introduction to Python Programming
2. Basic Data Types
3. Tests and Conditions
4. Iterations (Repetition Statements)
5. Data Structures: Lists and Dictionaries
6. Iterations in Data Structures
7. Functions
8. Classes
9. Python Libraries
10. Reading and Writing Files
11. Tests and Exceptions
Main Bibliography Portela, F. and Pereira, T. (2024). Introdução à Algoritmia e Programação em Python. FCA
Sobral, S. (2023). Introdução à Programação usando Python. Silabo.
Carvalho, A. (2021). Práticas de Python - Algoritmia e Programação. FCA.
Matthes, Eric. (2019). Python Crash Course, 3rd Edition. No Starch Press, 2023. 2ª Edição
Downey, A. (2015). Think Python - How to Think Like a Computer Scientist. O'Reiley. Green Tea Press
Severance, C. (2013). Python for Everybody - Exploring Data Using Python
Miller, B., and Ranum, D. (2011). Problem Solving with Algorithms and Data Structures using Python: Interactive Edition
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-09-24

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.