Programming Languages II
| Code: | BINF018 | Sigla: | LPII |
| Áreas Científicas | |
|---|---|
| Classificação | Área Científica |
| OFICIAL | Informática |
Ocorrência: 2019/2020 - 1S
| Ativa? | Yes |
| Unidade Responsável: | Matemática e Informática |
| Curso/CE Responsável: | Undergraduate in Bioinformatics |
Ciclos de Estudo/Cursos
| Sigla | Nº de Estudantes | Plano de Estudos | Anos Curriculares | Créditos UCN | Créditos ECTS | Horas de Contacto | Horas Totais |
|---|---|---|---|---|---|---|---|
| BINF | 12 | Study Plan | 2 | - | 5 | 67,5 | 135 |
Docência - Responsabilidades
| Docente | Responsabilidade |
|---|---|
| António Leonardo Gonçalves |
Docência - Horas
| Theorethical and Practical : | 2,00 |
| Practical and Laboratory: | 2,00 |
| Type | Docente | Turmas | Horas |
|---|---|---|---|
| Theorethical and Practical | Totais | 1 | 2,00 |
| António Leonardo Gonçalves | 2,00 | ||
| Practical and Laboratory | Totais | 1 | 2,00 |
| António Leonardo Gonçalves | 2,00 |
Língua de trabalho
PortugueseObjetivos
The UC aims to understand the notion of algorithms as the formalization of the solution to a well- determined problem in a sequence of elementary actions. To be able to analyse a given algorithm and predict the outcome of its implementation. To be able to draw in a natural language algorithms and pseudo-code.
Understanding computer programming as a way of describing algorithms in a formal language capable of being executed on a common use computer. To know the basic principles of programming: variables; basic types; expressions and assigning values to variables; decision instruction; cycle instructions; lists, and arrays. Understanding the traditional development cycle of software: design, programming and testing. Apply knowledge of these basic principles to an appropriated Python programming language. Be able to translate an algorithm given in a complete programing language, such as Python, Perl, to be able to solve a given problem making your design, programming and testing.
Resultados de aprendizagem e competências
The UC aims to understand the notion of algorithms as the formalization of the solution to a well- determined problem in a sequence of elementary actions. To be able to analyse a given algorithm and predict the outcome of its implementation. To be able to draw in a natural language algorithms and pseudo-code.
Understanding computer programming as a way of describing algorithms in a formal language capable of being executed on a common use computer. To know the basic principles of programming: variables; basic types; expressions and assigning values to variables; decision instruction; cycle instructions; lists, and arrays. Understanding the traditional development cycle of software: design, programming and testing. Apply knowledge of these basic principles to an appropriated Python programming language. Be able to translate an algorithm given in a complete programing language, such as Python, Perl, to be able to solve a given problem making your design, programming and testing.
Modo de trabalho
PresencialPrograma
•The Role of Algorithms in Computing
oAlgorithms
oAlgorithms as a technology
•Elements of programming languages
oVariables, strings, functions and lists; Statements and expressions oFunctions
oBranching and decisions
oNested structures
oRepetitions
oModules and Packages
oConditions, Arrays, Hashes and Loops •classical algorithms
osearch algorithms
oSorting algorithms
•File Handling
•Subroutines, References and Complex Data Structures •Modules and Packages
Bibliografia Obrigatória
João Pavão Martins; Programação em Python , IST press., 2015Bibliografia Complementar
Allen Downey; Think Python, Green Tea Press,, 2018Métodos de ensino e atividades de aprendizagem
weekly lecture to expose the concepts and demonstrate their application with snippets and scripts in order to familiarize students with the languages.
weekly hands-on class organized so that students will develop on their own the appropriate code to obtain a number of functional scripts per class. If the students fail to develop the required code during the class they will have the opportunity to finish it as homework assignment and turn it in on the following class.
Tipo de avaliação
Distributed evaluation without final examComponentes de Avaliação
| Designation | Peso (%) |
|---|---|
| Teste | 50,00 |
| Trabalho laboratorial | 50,00 |
| Total: | 100,00 |
Componentes de Ocupação
| Designation | Tempo (Horas) |
|---|---|
| Estudo autónomo | 50,00 |
| Trabalho laboratorial | 50,00 |
| Total: | 100,00 |
Obtenção de frequência
Avaliação continua:
- TS - Teste Semanal no Moodle: realização de alguns mini-teste com a duração de 20m às 12h às 6ºf;
- Datas dos testes em maio e junho 2020: 8 de maio; 22 de maio e 5 de junho.
- PL- Projecto Laboratorial grupos de 3 alunos com discussão individual.
Nota final: (média dos 5 melhores TS) * 50 % + PL * 50%
Critério de passagem:
- média dos 5 melhores TS >= 8.5 Valores;
- PL >= 8.5 valores;
- Notas final >= 9.5 valores.
Avaliação por exame:
- Ex - Exame;
- PL- Projecto Laboratorial grupos de 3 alunos com discussão individual.
Nota final: Ex * 50 % + PL * 50%
Critério de passagem:
- Ex >= 8.5 Valores;
- PL >= 8.5 valores;
- Notas final >= 9.5 valores.
Fórmula de cálculo da classificação final
Avaliação continua:Nota final: (média dos 5 melhores TS) * 50 % + PL * 50%
Avaliação por exame:
Nota final: Ex * 50 % + PL * 50%
Página gerada em: 2024-09-28 às 23:35:30