Information Storage and Recovery
Code: 104746 ECTS Credits: 6| Degree | Type | Year |
|---|---|---|
| Interactive Communication | OB | 2 |
Contact
- Name:
- Francisco Javier Vega Cobo
- Email:
- franciscojavier.vega@uab.cat
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
There are no prerequisites.
Objectives and Contextualisation
The main objectives of the course are the following:
- Know the evolution of technologies for information storage and retrieval.
- Distinguish the characteristics of the main database management systems.
- Know how to select the appropriate database management system according to the needs of its users.
- Know the different tools and techniques for database consultation.
- Apply knowledge about databases in the field of interactive communication.
Competences
- Act with ethical responsibility and respect for fundamental rights and duties, diversity and democratic values.
- Act within one's own area of knowledge, evaluating sex/gender-based inequalities.
- Determine and plan the technological infrastructure necessary for the creation, storage, analysis and distribution of interactive multimedia and social-networking products.
- Introduce changes in the methods and processes of the field of knowledge to provide innovative responses to the needs and demands of society.
- Manage time efficiently and plan for short-, medium- and long-term tasks.
- Promote and launch new products and services based on massive-scale mining and analysis of data from the Media.
- Search for, select and rank any type of source and document that is useful for creating messages, academic papers, presentations, etc.
- Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
- Students must develop the necessary learning skills to undertake further training with a high degree of autonomy.
Learning Outcomes
- Analyse a situation and identify its points for improvement.
- Apply knowledge of technology to data protection.
- Communicate using language that is not sexist or discriminatory.
- Cross-check information to establish its veracity, using evaluation criteria.
- Distinguish the most suitable software for designing and creating a database on the basis of an organisation's needs.
- Distinguish the salient features in all types of documents within the subject.
- Extract content for storage in databases and recover it when needed.
- Plan and perform document search and management work.
- Propose new methods or well-founded alternative solutions.
- Propose projects and actions that are in accordance with the principles of ethical responsibility and respect for fundamental rights and obligations, diversity and democratic values.
- Propose projects and actions that incorporate the gender perspective.
- Recognise and master the technological infrastructure for storing information.
- Submit high-quality coursework on time, which requires attention to both individual and group work.
- Work individually to progress further in analysing and creating databases for their own sake.
Content
The contents that will be worked on in the course are structured in the following topics:
- Technological evolution in information storage and retrieval.
- Databases: concept and typologies.
- Database management systems.
- The textual model.
- The entity-relationship model.
- The relational model.
- Information retrieval in databases. Introduction to SQL.
- Databases and data security.
- Databases as sources of information for interactive communication.
Activities and Methodology
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Oral presentations | 4 | 0.16 | 14, 13 |
| Practical exercises | 28 | 1.12 | 2, 5, 14, 7, 13, 12 |
| Theory classes | 14 | 0.56 | 6, 5, 12 |
| Type: Supervised | |||
| Elaboration of coursework | 6 | 0.24 | 2, 4, 14, 7, 8, 13, 12 |
| Type: Autonomous | |||
| Bibliography reading | 15 | 0.6 | 4, 6, 14 |
| Elaboration of coursework | 47 | 1.88 | 2, 4, 14, 7, 8, 13, 12 |
| Personal study | 30 | 1.2 | 4, 6, 5, 14, 12 |
Theoretical classes will cover the contents of the syllabus.
The practical sessions are aimed at:
- Show the different types of databases and database management systems.
- To know the structure of the textual, entity-relational and relational models
- To know the principles of information retrieval in databases with special attention to the SQL language.
The course work is a group work in which an creation and use of a database project is proposed.
The results of both practical exercises and coursework will be presented in oral presentations.
The proposed teaching methodology may undergo some modifications depending on the health authorities' attendance restrictions.
The course content will be sensitive to issues related to gender perspective and the use of inclusive language.
A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find all teaching materials and necessary information for efective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching staff will inform students of any modifications to the course schedule and teaching methodologies.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Assessment
Continous Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Coursework | 30% | 1 | 0.04 | 2, 3, 4, 14, 7, 8, 13, 9, 10, 11, 12 |
| Monitoring of practical exercises | 10% | 1 | 0.04 | 2, 4, 5, 14, 7, 8, 13, 12 |
| Practical test | 20% | 2 | 0.08 | 1, 2, 5, 7, 12 |
| Theoretical questionnaire 1 | 20% | 1 | 0.04 | 2, 4, 6, 5, 7, 12 |
| Theoretical questionnaire 2 | 20% | 1 | 0.04 | 2, 4, 6, 5, 7, 12 |
Assessment is continuous, which involves the following assessment activities:
A. Practical exercises. Value 10% of the final grade.
B. 2 theoretical questionnaires. Each worth 20% of the final grade.
C. 1 practical test. Worth 20% of the final grade.
D. Coursework. Value 30% of the final grade.
The final grade of the course is obtained from the sum of the grades of the five evaluation activities, according to their percentage weight.
In order to pass the course it is necessary
1. To have completed at least 70% of the practical exercises.
2. To have obtained an average of the weighted grades of activities B and C of no less than 3.5.
3. To have obtained an average of the five weighted grades of not less than 5.
Recovery
- Students will be entitled to the revaluation of the subject. They should present a minimum of activities that equals two-thirds of the total grading.
- The assessment activities excluded from recovery are: A (practical exercises) and D (coursework).
- If an average of 3.5 is not reached in activities B and C, a theoretical-practical recovery test will be held.
The proposed evaluation system may undergo some modification depending on the restrictions imposed by the health authorities.
Plagiarism
In the event that a student commits any irregularity that may lead to a significant variation in the mark for an assessment act, this assessment act will be marked 0, regardless of the disciplinary process that may be initiated. In the event of several irregularities occurring in the assessment acts of the same subject, the final grade for this subject will be 0.
This subject doesn't provide for the single assessment system.
Artificial intelligence
In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of assignment development, provided that the final outcome demonstrates a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify any content generated using AI, specify the tools employed, and include a critical reflection on how these technologies have influenced both the process and the final result of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.
Bibliography
Basic bibliography. A supplementary bibliography will be provided at the end of each topic.
Abadal, Ernest; Codina, Lluís. (2005). Bases de datos documentales : características, funciones y método. Madrid: Síntesis.
Burgués, Xavier. et al. (2015). Diseño de bases de datos. Barcelona: UOC. Disponible: https://cutt.ly/qo6KvTM
Celma, Matilde; Casamayor, Juan Carlos; Mota, Laura. (2003). Bases de datos relacionales. Madrid: Pearson Educación.
Codina, Lluís. (2015). Sistemas de gestión de bases de datos documentales: características principales y metodologías de diseño. Barcelona: UPF. Disponible: https://repositori.upf.edu/handle/10230/24625
Codina, Lluís. (1993). Sistemes d’informació documental: concepció, anàlisi i disseny de sistemes de gestió documental amb microordinadors. Barcelona: Pòrtic.
Ferran, Núria; Pérez-Montoro, Mario. (2013). Búsqueda y recuperación de la información. [Recurs electrònic]. Barcelona: UOC. https://shre.ink/IRoX
Luque, Irene. et al. (2001). Bases de datos: desde Chen hasta Codd con Oracle. Madrid: Ra-Ma.
Martínez, Luis Javier (2016). Cómo buscar y usar información científica: guía para estudiantes universitarios. Santander: Universidad de Cantabria. https://shre.ink/lRoD
Moya, Félix de. (2002). “Técnicas avanzadas de recuperación documental”. En: López Yepes, J. Manual de ciencias de la documentación. Madrid: Pirámide.
Silberschatz, Abraham; Korth, Henry; Sudarshan,Sundararajarao. (2014). Fundamentos de bases de datos. Madrid: McGraw-Hill.
Software
MySQL
Groups and Languages
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
| Name | Group | Language | Semester | Turn |
|---|---|---|---|---|
| (PLAB) Practical laboratories | 61 | Catalan | second semester | afternoon |
| (PLAB) Practical laboratories | 62 | Catalan | second semester | afternoon |
| (TE) Theory | 6 | Catalan | second semester | afternoon |