Checking date: 29/05/2024

Course: 2024/2025

Files and data bases
Academic Program of Computer Engineering via Bachelor in Computer Engineering (Plan: 509 - Estudio: 218)


Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
- Programming (1st year, 1st term) - Algorithms and Data Structures (1st year, 2nd term) - Discrete Mathematics (1st year, 2nd term) - Computer Structure (2nd year, 1st term) - Software Engineering (2nd year, 1st term)
Skills and learning outcomes
Link to document

Description of contents: programme
The descriptors associated with the subject are: File structures serial, sequential, hashed and indexed. Multidimensional access. Relational Data Model. Database Management Systems for Relational Databases. SQL database language: definition and manipulation. The program features the following agenda: ITEM 1. Introduction to Data Bases Storage and Files: Physical vs. Logical focuses Definition of Database ITEM 2. The Relational Statics Elements of the Relational Model. Description and notation. Inherent vs. Semantic Constraints ITEM 3. The Relational Dynamics Relational Algebra Data Manipulation through SQL ITEM 4. Advanced Relational Views Triggers ITEM 5. Introduction and Basic Concepts File Design. Goals of Physical Design. File Processing: Selection vs. Location ITEM 6. Base Structures Basic structures: Serial and Sequential Direct Access and Hashing Clusters ITEM 7. Auxiliary Structures Indexed Organization B Tree-structured indexes Special Indexes: bitmap Index based Processes ITEM 8. Data Base Management Systems Architecture and Fundamentals of the RDBMS Oracle Internal Schema in the RDBMS Oracle Processes and Execution Plans the RDBMS Oracle
Learning activities and methodology
AF1.THEORETICAL-PRACTICAL CLASSES (1.7 ECTS). Knowledge and concepts students must acquire. Student receive course notes and will have basic reference texts to facilitatefollowing the classes and carrying out follow up work.Students partake in exercises to resolve practical problems and participatein workshops and an evaluation tests, all geared towards acquiring the necessary capabilities. Temporization: 44 hours, 100% presential instruction AF8.WORKSHOPS AND LABORATORY SESSIONS (0.3 ECTS). Temporization: 8 hours, 100% presential instruction AF2.TUTORING SESSIONS (0.2 ECTS). Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher. Temporization: 4 hours, 100% presential instruction. AF3.STUDENT INDIVIDUAL WORK OR GROUP WORK (3.8 ECTS). Temporization: 98 hours, 0% presential instruction MD1.THEORY CLASS. Classroom presentations by the teacher with IT and audiovisual support in which the subject`s main concepts are developed, while providing material and bibliography to complement student learning. MD2.PRACTICAL CLASS. Resolution of practical cases and problem, posed by the teacher, and carried out individually or in a group. MD3.TUTORING SESSIONS. Individualized attendance (individual tutoring sessions) or in-group (group tutoring sessions) for students with teacher as tutor. MD6.LABORATORY PRACTICAL SESSIONS. Applied/experimental learning/teaching in workshops and laboratories under the tutor's supervision.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50

Calendar of Continuous assessment

Extraordinary call: regulations
Basic Bibliography
  • Cuadra D., Castro E., Iglesias A., Martínez P., Calle J., de Pablo C., Al'Jumaily H., Moreno L., García S., Martínez J.L., Rivero J., Segura I.. Desarrollo de Bases de Datos: casos prácticos desde el análisis a la implementación. 2ª ed.. Ra-Ma. 2013
  • Elmasri, R. y Navathe, S.. Fundamentals of Database Systems (7th ed.). Pearson Education. 2017
  • Folk, M. J., Zoellick, B., y Riccardi, G.. File Structures.. Addison Wesley . 1998
  • Oracle® . SQL*Plus. User's Guide and Reference. 2013
  • Oracle® Database. SQL Language Reference. 2015
  • Silverschatz, A., Korth, H. F. & Sudarshan, S.. Database System Concepts, 7th ed . Mc-Graw Hill. 2019
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • Date, C.J.. An introduction to database systems (7th edition).. Pearson Education. 2001
  • Frakes, W. y Baeza-Yates, R., Eds.. Information retrieval. Data structures and algorithms.. Prentice Hall. (c) 1992.
  • Gaede, O. and Günther,V. (1998).. Multidimensional Access Methods.. ACM Computing Surveys, Vol. 30, No. 2. (c) 1998 ACM NY..
  • Guttman, A. (1984).. R-trees: A dynamic index structure for spatial searching. Procs. of the ACM SIGMOD ¿84, Int. Conference on Management of Data..
  • Livadas, Panos E.. File Structures: Theory and Practice.. Ed. Prentice-Hall Int (c) 1990.
  • Ramakrishnan, R.; Gehrke, J.. Database management systems. WCB/McGraw Hill. . 3rd ed., 2012
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The course syllabus may change due academic events or other reasons.