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Algorithms and Programming Fundamentals

Code:

PWDAM10

Sigla:

FPA

Áreas Científicas
Classificação	Área Científica
CNAEF	Informatics Sciences

Ocorrência: 2023/2024 - 2T

Ativa?	Yes
Página Web:	https://portal.ips.pt/ests/pt/ucurr_adm.ficha_uc_preview?pv_ocorrencia_id=555691&pv_ficha_ocorr_id=5087
Unidade Responsável:	Departamento de Sistemas e Informática
Curso/CE Responsável:	Professional Technical Higher Education Courses in Applications, Mobil Devices and Web Programming

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
TSPCDA	23	Plano de Estudos_2017_18	1	-	3	-

Língua de trabalho

Portuguese

Objetivos

The curricular unit has the objective to able students with the analytical capacity to construct, develop and adapt algorithms in order to be able to conceive logical solutions for problems arising in the scope of computer sciences and thus contribute positively to the construction of software, individually or integrated in teams. In specific:
- Know and understand the various types of data and their use.
- Understand the various control structures and their application for programming.
- Know and understand the data structures and their application in several contexts and programming environments.

Resultados de aprendizagem e competências

The development of this curricular unit will enable students to:

- Develop algorithms allowing to define and structure the solution of real problems.
- Know the fundamentals of procedural programming.
- Develop the computational thinking
- Implement software applications to automate the solution of real problems.

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

Basic knowledge of mathematics and linear algebra. For the development of the projects simultaneously, the students will receive basic knowledge of electronics.

Programa

1. Algorithms. Pseudocode.
2. Development cycle of an application. Structure of a program. Variables and constants. Basic data types. Assignment. Logical arithmetic expressions.
3. Message writing and data entry.
4. Control Structures:

• Sequence


• Conditional Instructions (if, if-else, switch)


• Repetition Instructions (while, do-while, for)

5. Functions (subprograms), parameters and return value
6. Vectors and arrays
7. Strings
8. Notions of work with text files
9. Notions of data structures, pointers.

Bibliografia Obrigatória

Jeff Szuhay; Learn C Programming, Packt Publishing, 2020. ISBN: Learn C Programming

Bibliografia Complementar

Luis Damas; Linguagem C, FCA, 1999. ISBN: 9789727221561
ANTÓNIO ADREGO DA ROCHA; Estruturas de Dados e Algoritmos em C, FCA. ISBN: 9789727222957

Métodos de ensino e atividades de aprendizagem

The teaching methodology adopted is student-centered, where it is intended that the student is the driving force behind his or her learning. The Problem/Project Based Learning (PBL) model is followed.

Students are organized in groups and, with the support of the teacher, are encouraged to solve concrete problems, facing challenges that will be overcome in the course of this active learning.

Emphasis is given to the discussion of ideas and results obtained.

The various challenges/tasks presented to students should be submitted on the Moodle Platform.

Software

CodeBlocks
Visual Studio Code
IDE DevC; GDB (online)

Palavras Chave

Physical sciences > Computer science > Programming
Physical sciences > Mathematics > Algorithms
Physical sciences > Computer science > Informatics

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	40,00
Teste	60,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Elaboração de projeto	35,00
Elaboração de relatório/dissertação/tese	8,00
Estudo autónomo	40,00
Frequência das aulas	30,00
Trabalho de investigação	10,00
Trabalho escrito	2,00
Trabalho laboratorial	15,00
Total:	140,00

Obtenção de frequência

9,5/20

Fórmula de cálculo da classificação final

Tests  - 60,0 %  (2 tests)

Final work (practical)  – 40,0%

Final Grade =  MT1*30% + MT2*30% +  TrabPF*40%

Restrictions (Maximum grade = 20.0): 

• T1>=8 e T2>= 8;
• Written tests combined  >= 9.5 valores (T1*25% + T2*25% >= 9,5 * 50%)
• Final work  >= 9,5.