- Details
- Category: Discipline
- Punch and Enbody R. (2021). The Practice of Computing using Python, 3rd. Ed., Pearson. Menezes, N. (2019). Introdução à Programação com Python: Algoritmos e Lógica de Programação. Novatec. Carvalho, A. (2021). Práticas de Python - algoritmia e programação. FCA. Guttag, J. V. (2021). Introduction to computation and programming using Python. 3rd edition. MIT Press.
- Computer Engineering
- 7030
- 7337
- Programming Fundamentals
- ISLA Santarém7030-7337
- 1
- 7
- 0
- 25
- Não
- Português
- Synchronous distance learning: 1. Expository, interrogative and interactive methods: Presentation/exposition of concepts using the expository, interrogative and interactive method. All pedagogical support elements are available through the Moodle platform. Face to face: 2. Active methodologies: Practical application through exercises and work in the classroom context. Autonomous: 3. Reading the recommended bibliography. Resolution of practical exercises that have not been resolved during practical classes and others proposed by the teacher. The teacher provides feedback (Tutorial Guidance – OT) on the results obtained by the student in solving the proposed problems, in person in a classroom context or remotely in asynchronous mode via the Moodle platform.
- Mandatory
- O1. Develop logical reasoning skills. O2. Use basic search and sorting algorithms. O3. Use data structures available in modern programming languages. Competences: C1. Solve problems using current mechanisms in functional and procedural programming. C2. Develop, test and correct small/medium-sized programs in a modern programming language (Python).
- 1.Concepts: Computing. Problem analysis. Logical representation of the process. Top-down and modular approach methodology. Structured programming methodology and programming style. Algorithms and problem modeling. Programming languages and paradigms. Phases of developing an application. 2.Algorithms and data structures. Algorithmic representation languages. Data structures. Data structure concepts. Simple data. Complex data. Algorithmic Notation. Identifiers, Variables, Constants, Operations and Expressions. Assigning, reading and writing data. Control and Repetition Structures. Modularization. Proof and Test. Sorting and Search. Structures and files 3. Execution of algorithms in the Portugol application 4. Python Language: Structure. Operators. Functions. Libraries. 5. Implementation of algorithms and data structures in Python.
Avaliação Curricular (contínua): Esta modalidade de avaliação é constituída por: A1. Portfólio de trabalhos/exercícios de aula. A2. Trabalho prático (relatório e projeto). A3. Teste final teórico/prático. A classificação final é calculada através da fórmula Classificação Final = 0,2*A1+0,4*A2 + 0,4 *A3. O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores. Avaliação Final (A): O estudante realiza o exame completo (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20. Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo (A=100%) e fica aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.
- Semestral
- Details
- Category: Discipline
- Human Resources Management
- 1211
- 13052
- Development Project in Human Resources
- ISLA Santarém1211-13052
- 3
- 12
- 0
- 25
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Human Resources Management
- 1193
- 27852
- Innovation and Organizational Change
- ISLA Santarém1193-27852
- 1
- 6
- 0
- 25
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Computer Engineering
- 7030
- 18752
- Algorithms and Data Structures
- ISLA Santarém7030-18752
- 1
- 6
- 0
- 25
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Human Resources Management
- 1211
- 10784
- Innovation and Entrepreneurship
- ISLA Santarém1211-10784
- 3
- 4
- 0
- 25
- Não
- Português
- Semestral
