Ficha

Versión en español

Course: 2025/2026

Master's Thesis

(19227)

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

EPI

Coordinating teacher: MARTIN GOMEZ, DAVID

Department assigned to the subject: Signal and Communications Theory Department

Type: Master Final Project

ECTS Credits: 6.0 ECTS

Course: 1º

Semester: 2º

Requirements (Subjects that are assumed to be known)

Completing previous courses is not required for this course

Learning Outcomes

Link to document

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

Training Activities: - Activity code AF5. Total hours: 7.5; In-person hours: 7.5; % student attendance: 100 - Activity code AF7. Total hours: 171.5; In-person hours: 0; % student attendance: 0 - Activity code AF8. Total hours: 1; In-person hours: 1; % student attendance: 100 - Activity code (TOTAL SUBJECTS). Total hours: 180; In-person hours: 8.5; % student attendance: 5% Teaching methodologies: MD2 - Critical reading of recommended texts MD5 - Individual student work

Assessment System

% end-of-term-examination/test 100
% of continuous assessment (assigments, laboratory, practicals...) 0

Calendar of Continuous assessment

The evaluation of the TFM aims to measure the knowledge and general skills of the degree acquired by the student through the completion of individual work, public presentation and defense before an academic tribunal.

The presentation and defense of the TFM by the student will weigh 100% and will be carried out by a court that will assess both the work prepared by the student and its presentation on the day of the defense, taking into account specific criteria to evaluate both aspects. Thus, for the work the following aspects will be evaluated, with the following scale:
- presentation and description of the problem (20%)
- tools used (10%)
- description of the work developed (10%)
- exhibition of work and development time (10%)
- knowledge shown by the student (10%)
- ability to present the topic, content, results and conclusions (10%)
- answers given to the questions asked by the members of the court (10%)

In addition, the court may have to take into account the report presented by the student's tutor in its evaluation:

- personal work of the student and report of the tutor: 20%

Assessment Matrix

Download assessment matrix

Additional information

Useful information for the elaboration of the Work End of Master

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