The course will consist of the following activities:

Lectures: The lecturer introduces and explains the basic concepts and graphs corresponding to each topic. Student attendance is essential.

Workshops / Problems and exercises: in-class sessions dedicated to problem solving, case studies and/or debates. They may include class presentations by students.

Evaluation activities: there will be four or five activities for that purpose. Two of them will consist of written tests, at the middle and end of the semester.

Supervised activities: Tutorials

Complementary activities: Lecturers may recommend attendance to conferences or seminars.

Autonomous activities: Each student is expected to devote individual study time using all materials, doing homework and problems.

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.

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.

Assessment will be continuous. It will be based on:

- in-class seminars (problem solving sessions, discussions) and on-line problems (20%)

- midterm exam (40%)

- final exam (40%)

Lecturers will provide the dates of each evaluation activity at the beginning of the semester.

To pass: a weighted average grade of 5 or higher is required, AND at least a grade of 3.5 in each written test or exercise.

Single assessment option: The student may request to be assessed through a single exam, conditional on having applied for this option during the term established by the Facultat de Dret. Using this option implies forgoing the continued assessment option. The single evaluation system will consist of three activities. These activities are the following: 1) A test (50%); 2) Resolution of a set of problems (20%); 3) Open questions, theoretical and practical (30%). The date of assessment will be the same as the date established by the Facultad for final exams and re-evaluation.

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.

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.