Programming Languages I
| Áreas Científicas |
| Classificação |
Área Científica |
| OFICIAL |
Informática |
Ocorrência: 2019/2020 - 2S
Ciclos de Estudo/Cursos
| Sigla |
Nº de Estudantes |
Plano de Estudos |
Anos Curriculares |
Créditos UCN |
Créditos ECTS |
Horas de Contacto |
Horas Totais |
| BINF |
34 |
Study Plan |
1 |
- |
5 |
67,5 |
135 |
Docência - Responsabilidades
Língua de trabalho
Portuguese
Obs.: Português
Objetivos
This course has as main objectives to offer the student a global vision of the programming paradigm.
At the end of the course unit the learner is expected to be able to:
- Notion of algorithm as the formalisation of the solution to a well-defined problem into a sequence of elementary actions.
- Analyse a given algorithm and predict the final result of its execution;
- Design algorithms in natural language and pseudocode.
- Understand and know: computer programming as a way to describe algorithms in a formal language that can be executed in a general-purpose computer;
- elementary principles of programming: variables, decision instructions, cycle instructions, lists and arrays, the traditional cycle of developing computer programs:
- design, programming and testing.
- Apply the knowledge of these basic principles to phyton programming language.
- Be able to translate a given algorithm into a complete program.
- Being able to solve a given problem by designing, programming and testing it.
Resultados de aprendizagem e competências
Not applicable
Modo de trabalho
Presencial
Programa
The general-purpose computer and its components
Algorithms: Definition and history of algorithms. Examples of simple algorithms. How to describe an algorithm Introduction to programming languages paradigms Elements of programming languages: Variables of elementary types. Expressions and allocation of values. Instruction execution flow. Decision instructions. Cycle instructions. Lists and arrays Classical algorithms: Search algorithms. Sorting algorithms Input and output of data.
Bibliografia Obrigatória
Pavão martins; PROGRAMAÇÃO EM PYTHON. INTRODUÇÃO À PROGRAMAÇÃO UTILIZANDO MÚLTIPLOS PARADIGMAS, IS, IST, 2020
Métodos de ensino e atividades de aprendizagem
The students will have a set of sheets, from Moodle, to consolidate learning, some solved in class and others done on their own, with subsequent supervision of the teacher.
Tipo de avaliação
Distributed evaluation with final exam
Componentes de Avaliação
| Designation |
Peso (%) |
| Teste |
50,00 |
| Trabalho laboratorial |
50,00 |
| Total: |
100,00 |
Componentes de Ocupação
| Designation |
Tempo (Horas) |
| Estudo autónomo |
20,00 |
| Frequência das aulas |
40,00 |
| Trabalho laboratorial |
40,00 |
| Total: |
100,00 |
Obtenção de frequência
Not applicable
Fórmula de cálculo da classificação final
final classification by continuous evaluation: 30% 1st Test + 30% 2nd Test + 40% laboratory evaluation
final classification by Exam: 100 % Exam
Melhoria de classificação
Passing students will only be able to improve in the appeal season.
Observações
- Plagiarism in any evaluation (test, exam and project) will be penalized with its cancellation and forwarded to the competent bodies for disciplinary measures.
- In the case of remote assessments, an oral discussion may be requested for validation of skills, with impact on the grade of that assessment.