The syllabus provided by the instructor will constitute the core material for the course. Reading, studying, and working on it will be absolutely necessary to achieve the course objectives.As a complement, a course-specific manual is included in the bibliography as a tool for further exploration of the content presented and discussed in class.Classes will be taught by combining theoretical explanations with exercises that will put the acquired knowledge into practice.For optimal results, theoretical explanations will be complemented with illustrative examples to ensure students achieve a clear and demonstrable understanding of the concepts studied.

The course will be assessed in two ways: through continuous assessment, and for those students who request it, through a single assessment.

- Continuous Assessment:

There will be a midterm exam during the week of November 2-6, covering all the material taught from the beginning of the course up to the week before the exam.

In January, there will be a final midterm exam, which all students must take. This exam will be structured differently depending on whether or not they passed the midterm exams in October and December. Students who have passed these two midterm exams will only need to answer the questions corresponding to this third exam.

- Single Assessment:

If students have requested a single assessment, they must take a final exam that will include questions from the entire course syllabus, in addition to any activities assigned by the instructors.

Students who have not passed the subject in any of the described modalities will have the opportunity to take a resit exam where they can recover the entire subject, or part of it (in case they have passed one part and failed another). In any case, to be eligible to take this resit exam, only a failing grade is required.

The subject will be marked as NOT EVALUABLE if the student attends less than half of the assessment activities and/or does not take the final exam.

This subject allows the use of AI technologies as an integral part of the submitted work, provided

that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. The student must clearly (i) identify which parts have been generated using

AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have

influenced the process and final outcome of the activity.

Lack of transparency regarding the use of AI in the assessed activity will be considered academic

dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero.

In cases of greater infringement, more serious action may be taken.

If a student commits any type of irregularity that could lead to a significant change in the grade for an assessment, that assessment will be marked as 0, regardless of any disciplinary action that may result. If several irregularities are found in the assessments for the same subject, the final grade for that subject will be 0.