MD1: Master classesMD2: Problem-solving classes / cases / exercisesMD4: Preparation of jobs / reportsMD5: Reading articles / reports of interestMD6: Oral presentation of worksMD7: TutorialsMD8: SeminarsMD11: Classroom practices

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.

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.

The evaluation system that must be applied to the subject is the following, depending on whether it is continuous evaluation or single evaluation.

Continuous assessment

. carrying out group work (40%) on the final grade.

. attendance seminars (10%) on the final grade.

. test type exam (50%) on the final grade.

Attendance to the seminars is mandatory (minimum 80%), and their realization or attendance is not recoverable. Only duly justified and documented absences of assistance will be taken into account.

To pass the subject it is necessary to pass both the works and the exam, otherwise it will have to go to the recovery.

Students who wish to improve their grade in the first sitting of the exam must prepare a specific bibliography (to be consulted with the teaching team).

The final grade would be the last one obtained, regardless of whether it was lower than the first.

Recovery of continuous assessment

Students will have the right to retake the subject if they have been evaluated of the set of activities, the weight of which is a minimum of 2/3 parts of the total grade of the subject.

Recovery work: by repeating what is incorrect.

Recovery exam: by another test exam.

Single assessment

Requirements:

- Completion of a course project (40%) on the final grade. To be delivered on the day of the exam.

- Case resolution test (10%) based on several readings on the subject. This test will be face-to-face and will take place on the same day of the exam.

- Exam (50%) on the final grade.

To pass the subject, it is necessary to pass the three items of the single assessment foreseen. Otherwise, students will have to go to recovery.

Recovery of single assessment

Recovery work: by repeating what is incorrect.

Recovery exam: by another test exam.

Non-assessable

Students who have not completed at least 33% of the assessment activities provided in any of the course's assessment systems will be considered \"non-assessable\" and will be marked as such in their final grade.

Artificial Intelligence (AI)

For this subject, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text correction, translations or the use as a tool in order to improve your project or presentation (e.g. image generation, video). In any case, precise instructions in this regard will be given in each practice. Students must clearly identify any parts generated with these technologies, specify the tools used, and include a critical opinion on how AI has influenced the process and final outcome 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.

Plagiarism

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

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.

Procedure in the Event of Suspected 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.