Study programme competencies |
Code
|
Study programme competences / results
|
A18 |
Coñecemento e aplicación das características, funcionalidades e estrutura das bases de datos, que permitan o seu adecuado uso, e o deseño e a análise e implementación de aplicacións baseadas nelas. |
A19 |
Coñecemento e aplicación das ferramentas necesarias para o almacenamento, procesamento e acceso aos sistemas de información, incluídos os baseados en web. |
B1 |
Capacidade de resolución de problemas |
B3 |
Capacidade de análise e síntese |
B4 |
Capacidade para organizar e planificar |
C3 |
Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida. |
C6 |
Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse. |
C7 |
Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida. |
Learning aims |
Learning outcomes |
Study programme competences / results |
Knowledge and understanding of the concepts, principles, and basic theories of relational databases. |
A18
|
B3
|
C7
|
Ability to model and design databases in order to allow the storage of the information needed for specific application domains, taking special care with the integrity of the data and the needs of the organization that will use the database. |
A18
|
B1 B3 B4
|
C3 C6
|
Ability to manage databases by executing SQL statements. |
A18 A19
|
B1 B3 B4
|
C3 C6 C7
|
Contents |
Topic |
Sub-topic |
Relational databases |
Relationship definition
Domains and attributes
Keys
Integrity constraints
The SQL language |
Relational algebra |
Expressions
Operators |
Database design |
Design problems
Design phases
Normalization
Conceptual design
ER to relational model translation |
File systems |
Files
Indexes |
Concurrency and fail recovery |
Problems due to concurrency and failures
Transactions
Recovery techniques
Concurrency control techniques |
Planning |
Methodologies / tests |
Competencies / Results |
Teaching hours (in-person & virtual) |
Student’s personal work hours |
Total hours |
Guest lecture / keynote speech |
A18 A19 C7 C6 |
22 |
33 |
55 |
Problem solving |
A18 B1 B3 C6 |
14 |
21 |
35 |
Laboratory practice |
A18 A19 B1 B3 B4 C3 C6 |
18 |
27 |
45 |
Supervised projects |
A18 B1 B3 B4 C3 C6 |
6 |
6 |
12 |
Mixed objective/subjective test |
A18 B1 B3 C6 |
2 |
0 |
2 |
|
Personalized attention |
|
1 |
0 |
1 |
|
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Methodologies |
Description |
Guest lecture / keynote speech |
Classroom lectures. In them, the fundamental contents of the subject will be exposed. They are devoted to showing objectives, motivation, concept development, utility, and summary. |
Problem solving |
Problem solving lectures where a problem to solve is exposed. First, the student tries to solve the problem for a while, considering different aspects to solve it. Finally, the problem is solved in the blackboard, showing the typical errors of the solutions provided by the students. |
Laboratory practice |
In laboratory classes, teachers present the knowledge needed to acquire the proposed skills, and students will do exercises that will lead them to develop their operative skills. |
Supervised projects |
A database logical and conceptual modeling project will be proposed. The student shall develop it alone, with some assistance from the teacher. To review the final result, an appointment will be made between the student and the teacher. |
Mixed objective/subjective test |
It consists in a final exam that will contain both questions related to theoretical issues and problems to solve. |
Personalized attention |
Methodologies
|
Laboratory practice |
Supervised projects |
|
Description |
In the laboratory, there will be a semi-personalized support. The teacher will attend specific questions to each student or group.
The teacher will attend any doubt related to the supervised project, both in the classroom or in the office. The final result will be reviewed individually with each student.
|
|
Assessment |
Methodologies
|
Competencies / Results |
Description
|
Qualification
|
Mixed objective/subjective test |
A18 B1 B3 C6 |
Both at the FIRST OPPORTUNITY and at the SECOND OPPORTUNITY, for passing the course it is necessary to pass a conventional written exam which will represent 75% of the global grade.
To pass the course globally it is necessary to obtain in the mixed test a minimum grade of 3.5 (over 7.5). If that minimum grade is not achieved, the maximum global grade will not exceed 4.5 (and therefore the course will be failed)
Maximum grade: 7.5 points
Minimum grade to pass the course: 3.5 (over 7.5) |
75 |
Laboratory practice |
A18 A19 B1 B3 B4 C3 C6 |
For the FIRST OPPORTUNITY:
-SQL language test on the computer in classroom practices (maximum grade 1.5 pt).
For the SECOND OPPORTUNITY:
-SQL language test by means of a written exercise added to the mixed test (maximum grade 1.5 pt).
|
15 |
Supervised projects |
A18 B1 B3 B4 C3 C6 |
For the FIRST OPPORTUNITY:
-Database design project (Maximum grade 1 pt).
For the SECOND OPPORTUNITY:
-Unrecoverable. The grade from the first opportunity is kept |
10 |
|
Assessment comments |
FIRST OPPORTUNITY - In the FIRST OPPORTUNITY, students that do not take the written exam will obtain a grade of "Non presentado" (Absent).
- According to the UDC regulations, if a student passes the course in the FIRST OPPORTUNITY, he/she will not be able to be evaluated in the SECOND OPPORTUNITY in order to improve his/her grade.
- If a student fails the course in the FIRST OPPORTUNITY, he/she can retake the SQL language test, the written test or both in the SECOND OPPORTUNITY.
SECOND OPPORTUNITY - In the SECOND OPPORTUNITY, students that do not re-take any of the tests (written test and/or SQL language test) will obtain a grade of "Absent" ("No presentado").
- If a student decides to retake a test, the final grade for that test will be the one obtained during the second opportunity (which can be higher or lower than the one obtained in the first opportunity).
- If a student decides to not retake one of the two tests, he/she will keep the grade for that test obtained in the first opportunity.
ACADEMIC DISPENSATION: - Students officially enrolled part-time who have been granted an official dispensation from attending classes, as stipulated in the regulations of this University, will be able to do (and submit) all (or part) of the practices by their own. In the case that the activities require specific equipment, or are scheduled for a specific date and time, a viable alternative will be provided, where possible, at their request.
ADVANCED OPPORTUNITY: - The assessment for the advanced opportunity will consist of a written exam that will compute for the 100% of the grade.
|
Sources of information |
Basic
|
A. Silberschatz; H. Korth; S. Sudarshan (2010). Database System Concepts. McGraw Hill
Elmasri, R.; Navathe, S. (2011). Database systems: models, languages, design, and application programming. Addison-Wesley
Alan Beaulieu (2009). Learning SQL (2nd Ed). O'Reilly |
|
Complementary
|
Cuadra, D.; Castro, E.; Iglesias, A. M.; Martínez, P.; Calle, F. J.; de Pablo, C.; Al-Jumaly, H.; Mo (2007). Desarrollo de Bases de Datos: casos prácticos desde el análisis a la implementación. Madrid: Ra-ma
de Miguel, A,; Martínez, P.; Castro, E.; Cavero, M., Cuadra, D.; Iglesias, A. M.; Nieto, C. (2001). Diseño de bases de datos. Problemas resueltos. Madrid: Ra-ma |
|
Recommendations |
Subjects that it is recommended to have taken before |
Computer Science Preliminaries/614G01002 | Programming II/614G01006 |
|
Subjects that are recommended to be taken simultaneously |
|
Subjects that continue the syllabus |
|
|