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Introduction to Programming

Code: LEEC11103     Sigla: IP

Áreas Científicas
Classificação Área Científica
OFICIAL Informática

Ocorrência: 2021/2022 - 1S

Ativa? Yes
Unidade Responsável: Departamento de Sistemas e Informática
Curso/CE Responsável: Electrical and Computer Engineering

Ciclos de Estudo/Cursos

Sigla Nº de Estudantes Plano de Estudos Anos Curriculares Créditos UCN Créditos ECTS Horas de Contacto Horas Totais
EEC 55 Plano de Estudos 1 - 6 75 162

Docência - Responsabilidades

Docente Responsabilidade
Luís Miguel Lopes de Oliveira Esteves

Docência - Horas

Theorethical and Practical : 3,00
Practical and Laboratory: 2,00
Type Docente Turmas Horas
Theorethical and Practical Totais 2 6,00
Luís Miguel Lopes de Oliveira Esteves 3,00
Luís Manuel Dias Damas 3,00
Practical and Laboratory Totais 5 10,00
Luís Manuel Dias Damas 2,00
Luís Miguel Lopes de Oliveira Esteves 2,00
Laércio Cruvinel Júnior 6,00

Língua de trabalho

Portuguese

Objetivos



  • Understanding basic concepts and principles of computer operation.

  • Development of logical and formal thinking skills for complex problems analysis.

  • Understanding of conceptual foundations related to computer programming:


    • Understanding the general principles of software engineering;

    • Understanding the central role of Algorithm

    • Ability to code (implement) algorithms in programming languages.



Resultados de aprendizagem e competências

Programming framework


  • The student should be able to describe the basic architecture of a computer.

  • The student must be able to describe and relate the concepts of program and programming language.

  • The student must be able to describe how information is represented on a computer.

  • The student must be able to represent integer values ​​using different bases (decimal, binary, octal, hexadecimal)



Algorithms


  • The student must be able to describe different ways to represent algorithms.

  • The student should be able to solve simple problems and use algorithms to formalize the problem solving process.

  • The student should be able to use a top-down approach to solving problems with some complexity.


Programming in a high-level language


  • The student should be able to use an IDE to develop and test programs using the C programming language.

  • The student should be able to implement, in C language, algorithms specified in pseudocode.

  • The student should be able to use and describe the mechanisms for passing arguments to subprograms. T

  • he student should be able to implement and use search and sorting algorithms.

  • The student must be able to develop programs that store information in data files.

Modo de trabalho

Presencial

Programa

1.Programming framework



  1. Definition of computer.

  2. Basic description of a computer.

  3. Definition of a program.

  4. Programming and solving problems.

  5. Representation of Information.

  6. Concepts of: natural language, programming language and machine language.

  7. Programming Languages and Levels.


2.Algorithms


  1. Algorithm concept

  2. Representation of algorithms in Pseudocode.

  3. Top-down approach.



3. Programming in a high level language: C language



  1. Program structure.

  2. Elementary Data Types.

  3. Expressions

  4. Input and Output Instructions.

  5. Control structures.

  6. Sub-programs.

  7. Structured Data Types.

  8. Search and ordering algorithms.

  9. Files.

Bibliografia Obrigatória

Luís Damas; Linguagem C, FCA. ISBN: 972-722-156-4

Bibliografia Complementar

António Adrego da Rocha; Introdução à Programação usando C, FCA. ISBN: 972-722-524-1

Métodos de ensino e atividades de aprendizagem

TP Classes: Exposition of the subject followed by problem solving;
PL classes: Laboratory work and problem solving.

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation Peso (%)
Teste 75,00
Trabalho laboratorial 25,00
Total: 100,00

Componentes de Ocupação

Designation Tempo (Horas)
Frequência das aulas 5,00
Total: 5,00

Obtenção de frequência

To obtain frequency in continuous assessment, it is necessary to carry out the two tests, the two mini laboratory tests and the practical work.

Fórmula de cálculo da classificação final

Continuous assessment



































Assessment item weight in final grade minimum grade
1st Test 25% 7.5
2nd test 25% 7.5
1st practical mini test 10% 7.5
2nd practical mini test 15% 7.5
practical work 25% 7.5


  
The final grade is rounded up to units. For approval, the final grade must be greater than or equal to 10 points.


Assessment in exam season




















Assessment item weight in final grade minimum grade
written component of the exam 50% 7.5
Practical component of the exam 50% 7.5



The final grade is rounded up to units. For approval, the final grade must be greater than or equal to 10 points.

Avaliação especial (TE, DA, ...)

Assessment in special season



















Assessment item weight in final grade minimum grade
written component of the exam 50% 7.5
Practical component of the exam 50% 7.5

Melhoria de classificação

The grade improvement can only be performed in
recourse exam and requires prior enrollment in the Academic Division.
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