Checking date: 28/06/2022

Course: 2022/2023

Files and data bases
Study: Dual Bachelor in Computer Science and Engineering, and Business Administration (233)


Department assigned to the subject: Department of Computer Science and Engineering

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)
LEARNING OUTCOMES: R1. Knowledge and understanding: To acquire basic knowledge and understanding of the scientific and technological foundations of Computer Engineering, as well as specific knowledge of computer science, computer engineering and information systems. R2 Engineering Analysis: Being able to identify Computer Engineering problems, recognize their specifications, establish different resolution methods and select the most appropriate one for their solution, taking into account the applicable social, human health, environmental, and commercial limitations, in each case. R3 Engineering Design: To be able of carrying out engineering designs, according to their level of knowledge and understanding, that meet the required specifications, collaborating with other engineers and graduates. Design encompasses devices, processes, methods, objects, and specifications that are broader than strictly technical, including social awareness, health and safety, and environmental and business-related considerations. R4 Research and Innovation: To be able of using appropriate methods to carry out research and carry out innovative contributions in the field of Computer Engineering. R5 Engineering Applications: Graduates will be able of applying their knowledge and understanding to solve problems, direct research and design devices or processes in the field of Computer Engineering, according to criteria of cost, quality, safety, efficiency, respect for the environment, and ethical implications. These skills include the knowledge, use, and limitations of computer systems, process engineering, computer architectures, computational models, equipment, practical work, technical literature, and information sources. BASIC AND GENERAL COMPETENCES: CG2 ¿ To be able of generating new ideas (creativity), of anticipating new situations, and of adapting to teamwork and of interacting with other professionals, but being able of working autonomously at the same time. CG1 ¿ To apply appropriate theoretical and practical methods for the analysis, design and resolution of problems, providing IT solutions that respect the standards of accessibility, ergonomics and safety at work and that comply with existing legislation. CG3 ¿ To be able of assessing the different possible solutions from a technical, profitable and professional point of view while observing the current legislation in both the general and the professional fields. CGB3 - Ability to understand and master the basic concepts of discrete mathematics, logic, algorithmic and computational complexity, and its application for solving engineering problems. CGB4 - Basic knowledge about the use and programming of computers, operating systems, databases and computer programs with applications in engineering. CGB5 - Knowledge of the structure, organization, operation and interconnection of computer systems, the fundamentals of computer programming, and their application for solving engineering problems. CG9 - Efficiently use ICT media to write technical reports and project reports on Computer Science, as well as high-quality presentations. CGO3 - Ability to design, develop, evaluate and ensure the accessibility, ergonomics, usability and security of computer systems, services and applications, as well as the information they manage. CGO8 - Knowledge of basic subjects and technologies that enable the learning and development of new methods and technologies, as well as those that provide them with great versatility to adapt to new situations. CGO9 - Ability to solve problems with initiative, decision-making, autonomy and creativity. Ability to know how to communicate and transmit the knowledge, abilities and skills of the profession of Computer Engineer. CB2 - To know how to apply their knowledge to their work or vocation in a professional way, and have the skills that are usually demonstrated through the development and defense of arguments and resolution of problems within their area of study SPECIFIC SKILLS: CECRI5 - Knowledge, administration and maintenance of computer systems, services and applications. CECRI7 - Knowledge, design and efficient use of the most appropriate data types and structures to solve any given problem. CECRI12 - Knowledge and application of the characteristics, functionalities and structure of databases, which allow their proper usage, and the design and analysis and implementation of applications based on them. CECRI13 - Knowledge and application of the tools required for the storage, processing and access to Information Systems, including those based on the web. CECRI17 - Ability to design and evaluate person-computer interfaces that guarantee accessibility and usability to computer systems, services and applications.
Skills and learning outcomes
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 supported 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
Basic Bibliography
  • Cuadra, D., Castro, E., Iglesias, A., Martínez, P., Calle, J., de Pablo, C., Al'Jumaily, H., Moreno, L.. Desarrollo de Bases de Datos: casos prácticos desde el análisis a la implementación. Ra-Ma. 2ª ed. revisada y ampliada (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.. 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.