The course will be carried out through a combination of theoretical and practical activities aimed at active learning, critical reflection, and the progressive improvement of the student's academic output. The following methodological strategies will be employed:

• Lectures: Theoretical explanations by the teaching staff to introduce key content, accompanied by practical examples and references to academic works.

• Guided practical activities: Individual or group exercises focused on specific skills such as the development of the theoretical framework, formulation of objectives, bibliographic research, critical evaluation of sources, and application of citation standards.

• Reading and analysis of academic texts: Review of relevant scientific articles, followed by discussions focused on the critical analysis of their structure, content, and style.

• Progressive development of academic work: Drafting of TFM sections (abstract, introduction, theoretical framework, methodology, etc.) in different stages, with feedback from both the teaching staff and peers.

• Collaborative review and self-assessment: Peer-review activities to improve the quality of academic writing, develop critical skills, and foster student autonomy.

• Oral presentations: In-class presentation of the work developed, with special attention to clarity, structure, and argumentation, as preparation for the final TFM defense.

The evaluation of the course is based on four main components that reflect the methodological and academic competencies that students must develop throughout the course:

1. Summary and keywords of the Master’s Thesis (TFM) project – 25%

Each student must submit an initial summary of their Master’s Thesis (TFM) project, including the objectives, justification, and proposed methodological approach. In addition, they must identify between 5 and 7 keywords that define their research area. Clarity, coherence, and the ability to synthesize information will be assessed.

2. Bibliography exercise – 25%

Students must compile an initial bibliography for their Master’s Thesis using digital tools (reference managers) presented in class. The aim of this assignment is for students to automate the generation of bibliographies in accordance with the rules established by the different academic citation styles.

3. Oral presentation on the theoretical framework – 50%

Each student must deliver an oral presentation on the theoretical framework/state of the art. This presentation will serve as a preparatory exercise for the final thesis defense.

Active participation in module sessions will be an important evaluation criterion.

To pass the course, students must obtain a minimum score of 5 out of 10 in each of the evaluation activities. If a student does not reach the minimum grade in any activity, it can be retaken within the recovery period established by the academic calendar. The maximum grade for any recovered activity will be 5 (pass).

Any irregularity in an evaluation activity (plagiarism, copying, impersonation, etc.) will automatically result in a grade of 0 for that activity, regardless of any disciplinary proceedings that may follow. If multiple irregularities are detected, the final grade for the course will be 0.

In this course, permission to use Artificial Intelligence (AI) technologies will vary depending on the assessment activity. The permitted and prohibited uses for each activity will be specified in the course presentation. Students must clearly identify which parts of their work have been generated using AI technologies, specify the tools used, and include a critical reflection on how these tools have influenced both the process and the final outcome of the activity. A lack of transparency regarding the use of AI in an assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the grade for that activity, or more severe sanctions in cases of serious misconduct.