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.