A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find the various teaching materials deemed appropriate by the instructors and necessary information for effective course monitoring. Should the teaching modality change for reasons of force majeure according to the competent authorities, the teaching staff will inform students of any modifications to the

course schedule and teaching methodologies.

Classes will be a mix of theory and practice. Each session will begin with the debate or analysis of some lectures. There will a specific homework each week (lecture or exercice), and 4 group activities will be devoloped during the semester.

The course content will be sensitive to issues related to gender perspective and the use of inclusive language.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

CONTINUOUS ASSESSMENT

The evaluation of the subject will be based on continuous assessment, consisting of practical assignments (50%), class attendance and participation in seminars (5%), and a final exam (45%). In order to pass the subject, students must obtain a minimum grade of 5.0 out of 10 in both the practical assignments and the final exam. The grade corresponding to attendance and participation will be incorporated into the final mark according to the established weighting, but it will not constitute an independent requirement for passing the subject.

RECOVERY OF CONTINUOUS ASSESSMENT

The last three weeks of the course will be dedicated to re-evaluation activities. Students will have the right to retake the subject provided they have been assessed on activities whose combined weight represents at least two-thirds of the total course grade.

To be eligible for the recovery process, students must have obtained a minimum overall grade of 3.5 out of 10, calculated according to the established weighting criteria. Only the practical assignments and the final exam will be eligible for resit. Due to its nature, attendance and participation in seminars are not recoverable.

For the grade obtained in a recovery activity to replace the previous grade and to calculate the final mark, it is necessary to obtain a minimum grade of 4.5 out of 10 in that activity.

SINGLE ASSESSMENT

The single assessment system of the subject is based on the following components:

A) 40% Theoretical test. A minimum grade of 5.0 is required to pass the subject (mandatory condition).

B) 30% Resolution of three case studies / practical assignments.

C) 30% Submission of a final project including theoretical exercises.

The single assessment will take place on a single assessment date. On this date, students who have opted for this modality must take the written exam, solve a series of case studies, and submit the two research reports.

RECOVERY OF SINGLE ASSESSMENT

To be eligible for the recovery of the subject, students must have obtained a minimum overall grade of 3.5 out of 10, calculated according to the established weighting criteria. Only the theoretical test and the case study resolutions will be recoverable. Due to its nature, the final project is not eligible for resit.

For the grade obtained in a recovery activity to replace the previous grade and to calculate the final mark, it is necessary to obtain a minimum grade of 4.5 out of 10 in that activity.

SYNTHESIS EXAM

For students enrolled in the subject for a second time or more, assessment may consist of a synthesis exam designed to evaluate the learning outcomes defined in the course syllabus. In this case, the final grade of the subject will correspond entirely to the grade obtained in this exam. Further details will be communicated to students who choose this assessment modality.

PLAGIARISM

In the event that the student commits any irregularity that may lead to a significant variation in the grade of an evaluation act, this evaluation act will be graded with 0, regardless of the disciplinary process that may be instructed. In the event of several irregularities in the evaluation acts of the same subject, the final grade of this subject will be 0.

NOT ASSESSABLE

Students who have not completed at least 33% of the assessment activities scheduled in the course will be considered as \"not assessable\" and this will be reflected in their final grade.

ARTIFICIAL INTELIGENCE (AI)

In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of assignment development, provided that the final outcome demonstrates a significant contribution from the student in terms of analysis and personal reflection.

Students must clearly identify any content generated using AI, specify the tools employed, and include a critical reflection on how these technologies have influenced both the process and the final result of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.

IRREGULARITIES

The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities.

Any student suspected of submitting assignments that have been generated by AI, written by others or copied; include unattributed AI-generated content, or fall outside the permitted scope, may be asked to provide the preliminary work or other materials that can demonstrate it is original work and the result of their own authorship. They may also be asked to separately explain or justify their work. Teachers may also use AI detection systems or carry out any verification tasks they deem appropriate. If, after review, the instructor detects irregularities, the assignment may be graded zero, and the student may be subject to further disciplinary action.