The students are expected to have basic knowledge of - Calculus - Programming skills - Statistics

- Know the basic techniques of text pre-processing. - Use software tools for pre-processing text. - Know the techniques of topic modeling. - Use topic modeling software tools in corpus of documents. - Use topic models for information retrieval in corpus of documents. - Learn how to train models of semantic representation in a vector space. - Learn to train language models using recursive neural networks. - Know basic translation structures based on recursive neural networks. - Use optimization tools to build language models with recursive neural networks.

CB1: Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study 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. CG3: Knowledge of basic and technological subject areas which enable acquisition of new methods and technologies, as well as endowing the technical engineer with the versatility necessary to adapt to any new situation. ETEGITT3: Ability to analyze, codify, process and transmit multimedia information using analog and digital signal processing techniques. RA1: Knowledge and understanding of the general fundamentals of engineering, scientific and mathematical principles, as well as those of their branch or specialty, including some knowledge at the forefront of their field. RA3: Design. Graduates will have the ability to make engineering designs according to their level of knowledge and understanding, working as a team. Design encompasses devices, processes, methods and objects, and specifications that are broader than strictly technical, including social awareness, health and safety, environmental and commercial considerations RA5: Applications. Graduates will have the ability to apply their knowledge and understanding to solve problems, conduct research, and design engineering devices or processes. These skills include knowledge, use and limitations of materials, computer models, process engineering, equipment, practical work, technical literature and information sources. They must be aware  of all the implications of engineering practice: ethical, environmental, commercial and industrial.

- Document preprocessing techniques - Automatic summarization. Clustering techniques - Text embeddings - Topic Modeling - Neural Networks and Recurrent Neural Networks - Text processing with neural networks

All sessions will be theoretical / practical, in which each session introduces a theoretical aspect and is developed using specific software libraries. It is important to highlight that these classes will require initiative and personal and group work on the part of the student (there will be concepts that they will have to study personally based on some indications, particular cases they will have to develop, etc.) These practices, on the one hand, allow the student apply the theoretical knowledge acquired to try practical solutions, so that they can consolidate and critically analyze such knowledge. ECTS credits include in all cases the corresponding part of personal or team work by the student.