Instance: 2018/2019 - 2S
Cycles of Study/Courses
Teaching Staff - Responsibilities
Teaching - Hours
Last updated on 2019-02-04.
Fields changed: Calculation formula of final grade, Componentes de Avaliação e Ocupação, Obtenção de frequência
Provide the students with the fundamentals and practice necessary for the design, implementation and analysis of relational databases.
Learning outcomes and competences
The students should acquire the following competences:
- Be able to characterize a database management system;
- Know well the ER/EER and relational data models;
- Relational algebra and calculus as formal languages for relational databases maniputation;
- The fundamental of the SQL language as a language to define and manipulate data;
- Databases normalization rules based on functional and muluvalue dependencies;
Should be able to do:
- Design an average sized database model in ER/EER and convert it to a relational database;
- Use the SQL language to create and manipulate the database;
Introduction to Database Systems
Basic Concepts. Main characteristics and advantages of using the database approach. Typical DBMS Functionality. The database design process.
The ER and EER Models
The ER model: entity types, weak entity types, attributes, relationships and key attributes. The EER Model: subclasses, superclasses, specialization, generalization, categories. ER and EER diagrams.
The Relational Data Model
Relations, attributes, domains and tuples. Superkeys, primary keys and foreign keys. Integrity Constraints. Relational schema. Mapping the ER and EER models to the relational model.
The Relational Algebra and Calculus
Relational algebra operations. Tuple relational calculus and domain relational calculus.
The SQL Language
The DDL (Data Definition Language) of SQL: data definition, constraints and domains. The DML (Data Manipulation language) of SQL: simple, nested and correlated queries. Join, aggregate, insert, remove and update operations. Views.
Integrity and Security
Referential integrity. Embedded SQL. Assertions and triggers. Transactions, concurrency and fault tolerance.
Normal forms and normalization of relations. Functional, multivalued and join dependencies. Non-additive join decomposition. Normal forms: 3rd, 4th and Boyce-Codd.
Physical Data Organization
Basic file structures, hashing and indexing.
Elmasri Ramez; Fundamentals of database systems
. ISBN: 0-321-20448-4
A. Silberschatz, H. Korth and S. Sudarshan; Database Systems Concepts 5/E, McGraw-Hill
Ullman Jeffrey D., 1942-; A first course in database systems
. ISBN: 0-13-887647-9
Teaching methods and learning activities
Theory classes and practical classes with practical assignments.
Distributed evaluation with final exam
Amount of time allocated to each course unit
|Frequência das aulas
Eligibility for exams
Students must attend at least 2/3 of the practical classes.
Calculation formula of final grade
Student valuation components and corresponding weight:
- individual test on SQL in a lab environment - 35%
- final exam - 65 % with minimal grade of 40 % (8 valores) for final approval.