Checking date: 21/02/2025


Course: 2024/2025

Files and data bases
(13881)
Bachelor in Computer Science and Engineering (Plan: 489 - Estudio: 218)


Coordinating teacher: CALLE GOMEZ, FRANCISCO JAVIER

Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




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
RA1.2: Knowledge and understanding of engineering disciplines underlying their specialisation, at a level necessary to achieve the other programme outcomes, including some awareness at their Forefront. RA2.1: Ability to analyse complex engineering products, processes and systems in their field of study; to select and apply relevant methods from established analytical, computational and experimental methods; to correctly interpret the outcomes of such analyses. RA2.2: Ability to identify, formulate and solve engineering problems in their field of study; to select and apply relevant methods from established analytical, computational and experimental methods; to recognise the importance of non-technical societal, health and safety, environmental, economic and industrial constraints. RA3.1: Ability to develop and design complex products (devices, artefacts, etc.), processes and systems in their field of study to meet established requirements, that can include an awareness of non-technical ¿ societal, health and safety, environmental, economic and industrial ¿ considerations; to select and apply relevant design methodologies. RA5.3: Understanding of applicable materials, equipment and tools, engineering technologies and processes, and of their limitations in their field of study. RA6.2: Ability to manage complex technical or professional activities or projects in their field of study, taking responsibility for decision making. RA7.1: Ability to communicate effectively information, ideas, problems and solutions with engineering community and society at large. CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG1: Apply appropriate theoretical and practical methods for the analysis, design and solution of problems, providing computing solutions that respect accessibility, ergonomics and safety at work and comply with existing legislation. CG2: Be able to generate new ideas (creativity), to anticipate new situations, to adapt to new situations, working in a team and interact with others, but at the same time be able to work autonomously. CG3: Be able to evaluate the different possible solutions from a technical, eco- nomic and professional perspectives and to respect the legislation in force in the general and professional field. CG9: Efficiently use ICT resources to write technical reports and project and work reports on computing, as well as quality presentations. CGB3: Ability to understand and master the basic concepts of discrete mathe- matics, logic, algorithmic and computational complexity, and their application to the resolution of engineering problems. CGB4: Basic knowledge of the use and programming of computers, operating systems, databases and computer programmes with applications in engineering. CGB5: Knowledge of the structure, organisation, operation and interconnection of computer systems, the fundamentals of their programming, and their application to the resolution of engineering problems. CGO8: Knowledge of basic subjects and technologies, which enable them to learn and develop new methods and technologies, as well as those which 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 convey the knowledge, skills and abilities of the profession of Technical Engineer in Computer Science. 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 a problem. CECRI12: Knowledge and application of the characteristics, functionalities and structure of databases, enabling their appropriate use, and the design and analysis and implementation of applications based on them. CECRI13: Knowledge and application of the tools necessary for the storage, processing and access to information systems, including web-based ones.
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. http://docs.oracle.com/database/121/SQPUG/E18404-12.pdf. 2013
  • Oracle® Database. SQL Language Reference. http://docs.oracle.com/database/121/SQLRF/E41329-17.pdf. 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
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN


The course syllabus may change due academic events or other reasons.