Checking date: 28/05/2024

Course: 2024/2025

Databases and Infrastructures
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)


Department assigned to the subject: Computer Science and Engineering Department

Type: Additional training
ECTS Credits: 2.0 ECTS


Requirements (Subjects that are assumed to be known)
Programming basic skills
+ Understand the fundamentals of transactional databases + Ability to implement simple relational databases + Understand the management of information in a relational database
Skills and learning outcomes
Description of contents: programme
Introduction to the Relational Model Relational Database Design Relational Database Implementation: SQL for Description Manipulating Relational Databases Relational Database Operation: SQL for Manipulation
Learning activities and methodology
LEARNING ACTIVITIES - AF1: Theoretical presentations through on-line synchronous teaching supported by electronic material, such as digital presentations - AF3: Theoretical-practical classes through on-line synchronous teaching - AF4: Laboratory practices - AF5: Tutoring sessions - AF7: Individual student work - AF8: Midterm and final exams TEACHING METHODOLOGIES - MD1: Lectures in class (on line synchronous teaching) by the teacher with computer and audiovisual media support, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. - MD2: Critical reading of texts recommended by the lecturer: press papers, reports, manuals and / or academic papers, either for later discussion in class, or to expand and consolidate knowledge of the subject. - MD3: Resolution of practical cases, problems, etc.¿ raised by the teacher individually or in teams. - MD4: Presentation and discussion in class, under the moderation of the teacher, of topics related to the content of the subject, as well as practical cases. - MD5: Preparation of work and reports individually or in teams. - MD6: Specific e-learning activities, related to the semi-presential nature of the degree, including viewing of recorded content, self-correction activities, participation in forums, and any other online teaching mechanism.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Calendar of Continuous assessment

Basic Bibliography
  • Elmasri, R. y Navathe, S.. Fundamentals of Database Systems (7th ed.). Pearson Education. 2017
  • Silverschatz, A., Korth, H. F. y Sudarshan, S.. Database System Concepts, 7th ed . Mc-Graw Hill. 2019

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