Code: | CC2005 | Acronym: | CC2005 | Level: | 200 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Computer Science |
Active? | Yes |
Web Page: | https://moodle.up.pt/course/view.php?id=479 |
Responsible unit: | Department of Computer Science |
Course/CS Responsible: | Bachelor in Computer Science |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
L:B | 3 | Official Study Plan | 3 | - | 6 | 56 | 162 |
L:CC | 70 | study plan from 2021/22 | 2 | - | 6 | 56 | 162 |
L:F | 4 | Official Study Plan | 3 | - | 6 | 56 | 162 |
L:G | 0 | study plan from 2017/18 | 3 | - | 6 | 56 | 162 |
L:IACD | 61 | study plan from 2021/22 | 2 | - | 6 | 56 | 162 |
L:M | 11 | Official Study Plan | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:MA | 0 | Official Study Plan | 3 | - | 6 | 56 | 162 |
L:Q | 0 | study plan from 2016/17 | 3 | - | 6 | 56 | 162 |
Provide the students with the fundamentals and practice necessary for the design, implementation and analysis of relational databases.
The students should acquire the following competences:
Should know:
Should be able to do:
Introduction to Database Systems
Basic Concepts. Main characteristics and advantages of using the database approach. Typical DBMS Functionality. The database design process.
The ER model.
The ER model: entity types, weak entity types, attributes, relationships and key attributes.
The Relational Data Model
Relations, attributes, domains and tuples. Superkeys, primary keys and foreign keys. Integrity Constraints. Relational schema. Mapping the ER model to the relational model.
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.
Relational Algebra.
Relational algebra operations and their mapping onto SQL.
Integrity and Security
Referential integrity. Embedded SQL. Assertions and triggers. Transactions, concurrency and fault tolerance.
Normalization
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.
Non-relational databases ("NoSQL").
Examples.
Theory classes and practical classes with practical assignments.
designation | Weight (%) |
---|---|
Exame | 60,00 |
Teste | 20,00 |
Trabalho prático ou de projeto | 20,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 70,00 |
Frequência das aulas | 56,00 |
Trabalho laboratorial | 36,00 |
Total: | 162,00 |
Student valuation components and corresponding weight: