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Introduction to Programming

Code:

LACI11005

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:

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
EACI	23	Plano de Estudos 14	1	-	6	75	162

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. 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

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

Melhoria de classificação

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