Checking date: 19/06/2023

Course: 2023/2024

Master's Thesis
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)

Coordinating teacher: MARTÍNEZ OLMOS, PABLO

Department assigned to the subject: Signal and Communications Theory Department

Type: Master Final Project
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Completing previous courses is not required for this course
Basic skills Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context. That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of ¿¿study. That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments. That students know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way. That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous. General skills: Ability to collect and analyze existing knowledge in the different areas of AI, autonomously, and the ability to make a proposal for possible solutions to the problems posed. Capacity for public communication of concepts, developments and scientific-technical results obtained by applying techniques related to AI activities, adapted to the profile of the audience, in a clear and unambiguous way. Ability to apply the acquired knowledge and solve problems in new or little-known environments within broader and multidisciplinary contexts of AI, with the ability to integrate knowledge. Ability to know how to communicate (orally and in writing) the progress of work and studies related to AI, the results obtained and conclusions, also assessing the impact achieved by AI techniques in the business, social and economic areas. Specific skills: Ability to easily prepare, present and publicly defend before a university court, a project in the scientific or technological field of the subjects of the program, in which the skills acquired in the teachings are synthesized and integrated
Skills and learning outcomes
Description of contents: programme
The Master's Thesis is organized around the treatment of a practical case of implementing a system based on Artificial Intelligence. Students are presented with possible areas in which to carry out such work and guidance and monitoring of this will be provided. Among the tasks it includes are: - Presentation of work topics - Compilation and analysis of information related to the Master's Thesis - Development of the Master's Thesis - Preparation of the Report and Defense of the Master's Thesis
Learning activities and methodology
Tutorials Individual student work Presentation of the report and defense
Assessment System
  • % end-of-term-examination 100
  • % of continuous assessment (assigments, laboratory, practicals...) 0
Calendar of Continuous assessment
Assessment Matrix
Additional information

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