Databases
Áreas Científicas |
Classificação |
Área Científica |
CNAEF |
Informatics Sciences |
Ocorrência: 2023/2024 - 2S
Ciclos de Estudo/Cursos
Docência - Responsabilidades
Língua de trabalho
Portuguese
Objetivos
The main objective of the curricular unit of Databases is to provide students with the necessary knowledge to analyze, construct and manipulate a relational database to support the manipulation of information in an Information System.
Learning Objectives:
Obj1: Know the fundamental concepts of Databases and Database Management Systems (DBMS) (relational).
Obj2: To know and understand the Entity-Relationship Model (MER).
Obj3: To analyze and design the MER of an Information System.
Obj4: Know and understand the Relational Model (RM).
Obj5: Know and apply the rules for transforming the MER into the RM.
Obj6: Know the concepts, normalization and normal form in relational Databases.
Obj7: know the SQL language in its DDL (Data Definition Language) and DML (Data Manipulation Language) aspects.
Obj8: To apply SQL language to the definition and manipulation of relational database schemas.
Obj9: Apply SQL language to data manipulation (insertion, update and removal) in relational databases.
Obj10: Apply the SQL language to construct simple and complex queries.
Obj11: know how to define code routines in DBMS.
Resultados de aprendizagem e competências
Students should develop skills to:
- Define a data model using the Entity-Relationship Model
- Implement standard relational databases
- Create and manipulate database information in SQL
- Retrieve information from a database using SQL
Modo de trabalho
Presencial
Programa
1. Fundamental concepts of Databases and Database Management Systems (relational)
2. Analysis and Modeling according to the Entity-Relationship Model (MER)
2.1 Requirement analysis
2.2. entities, attributes and relations
2.3. constraints: cardinality, participation and keys
2.4. the MER diagram
3. The Relational Model (RM)
3.1 Tables, columns and data types
3.2. constraints: primary key, foreign key, unique and check
4. Transformation from MER to MR
5. The Structured Query Language (SQL)
5.1 Data Definition Language (DDL) - create, alter and drop
5.2 Data Manipulation Language (DML) - insert, update and delete
5.3 Query information - select
5.3.1. distinguish, where, order by, and row functions
5.3.2. grouping information: group, group by, and having functions
5.3.3. join tables - inner join, outer join, self join
5.3.4. subqueries
6. Views
7. Programming logic and accesses to the data model 7.1.
7.1 Procedures
7.2. functions
7.3. triggers
Bibliografia Obrigatória
Abraham Silberschatz, Henry F. Korthand S. Sudarshan; Database System Concepts, 6th Edition, McGraw Hill, 2011. ISBN: ISBN 978-0-07-352332-3
Bibliografia Complementar
Luís Damas; SQL, 14ª Edição, FCA, 2017. ISBN: 978-972-722-829-4
Métodos de ensino e atividades de aprendizagem
The pedagogical methodology to be used in this course is based on two components, the expositive method accompanied by practical examples, complemented by practice in laboratory environment. The consolidation of knowledge is performed by the implementation of an integrative project of knowledge held in groups throughout the semester.
Will be used an e-learning platform (Moodle) to support teaching, as repository of information, forum, delivery of work and testing of self assessment and summative evaluation.
Software
MySQL Workbench
MySQL Community Server
Tipo de avaliação
Distributed evaluation without final exam
Componentes de Avaliação
Designation |
Peso (%) |
Teste |
40,00 |
Trabalho laboratorial |
60,00 |
Total: |
100,00 |
Componentes de Ocupação
Designation |
Tempo (Horas) |
Estudo autónomo |
20,00 |
Frequência das aulas |
60,00 |
Trabalho laboratorial |
25,00 |
Elaboração de projeto |
60,00 |
Total: |
165,00 |
Obtenção de frequência
Continuous assessment (*)- Theoretical Component (CT): 3 Quizzes + Test
- Practical Component (PC): 3 Labs + Project: Phase 1 + Phase 2
Assessment by exam- Theoretical Component (TC): Exam
- Practical Component (PC): Project
* -Access to continuous assessment is conditioned by at least 75% attendance in classes.
Fórmula de cálculo da classificação final
Continuous assessment- Theoretical Component (CT):
- 15% Quizzes
- 25% Test
- Minimum grade of CT: 9.5 V
- Practical Component (PC):
- 30% Labs
- 30% Project: 50% Phase 1 + 50% Phase 2
- Minimum grade of PC: 9.5 V
Final grade: 40% CT + 60% CP (minimum final mark 9.5 V)
Assessment by exam- Theoretical component (TC):
- 50% Exam (minimum grade 9.5 V)
- Practical Component (PC):
- 50% Project (minimum grade 9.5 V)
Final grade: 50% TC + 50% CP