Checking date: 09/07/2020

Course: 2020/2021

Management of multimedia information in internet
Study: Master in Telematics Engineering (264)

Coordinating teacher: ARIAS FISTEUS, JESUS

Department assigned to the subject: Department of Telematic Engineering

Type: Electives
ECTS Credits: 6.0 ECTS


Students are expected to have completed
It is expected that students who take the course have a basic knowledge of algebra, probability theory and statistics, as well as computer programming.
Competences and skills that will be acquired and learning results.
After having taken the course, students should have acquired skills of three main types: - Reading, interpretation and understanding of technical and scientific documents in any of the official languages of the course. - Application and adaptation of the techniques described in the course to solving specific problems, being able to evaluate and compare different alternatives and make technical decisions to propose the most appropriate solution at all times. - Reasoning about the decisions to justify and present them to an audience.
Description of contents: programme
This course is organized into the following modules: 1. Computational complexity theory. 2. Semantic Web and linked data. 3. Natural language processing. 3.1. Statistical techniques. 3.2. Techniques based on artificial neural networks. 4. Big data technologies.
Learning activities and methodology
The course will be tought with: - Theoretical and practical sessions in which theoretical concepts are explained, with frequent examples and exercises. - Laboratory sessions with computers, in which students will apply the knowledge they acquired to solve problems.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Basic Bibliography
  • Andrii Gakhov. Probabilistic Data Structures and Algorithms for Big Data Applications. Books on Demand GmbH (Norderstedt). 2019
  • Bob DuCharme. Learning SPARQL, 2nd Edition. O'Reilly Media, Inc.. 2013
  • Donald Miner, Adam Shook. MapReduce Design Patterns. O'Reilly Media, Inc.. 2012
  • Sanjeev Arora, Boaz Barak. Computational Complexity: A Modern Approach. Cambridge University Press. 2009
  • Shelley Powers. Practical RDF. O'Reilly Media, Inc.. 2003

The course syllabus and the academic weekly planning may change due academic events or other reasons.