The course has presential classes divided into theory, problems, laboratory practices and field practices. It is highly recommended to attend the theory and problem classes, and it is mandatory to attend and perform the laboratory practices and attend field practices. In addition, there will be mandatory attendance activities that will be announced in due course.

During the course, the realization of directed activities will be considered, both of a more theoretical nature (bibliographic research and realization of works) and of a practical nature (problem solving and research of experimental data).

The student will have to dedicate an important part of the time in the extension of the knowledge given in the lectures and in the personal study.

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

Given the eminently applied nature of the subject and the fact that the problems to be solved require time and information that is difficult to have in a classroom, the existence of \"classic\" partial exams is NOT considered. The evaluation of the subject will be done with three types of activities:

1.- Tests of control and continuous evaluation that will be made during the course. By its nature, replay is not possible. Typically 3 tests will be performed throughout the course. The overall weight of this activity is 40%.

2.- Evaluation of the laboratory and field practices. Based on the corresponding reports and the evaluation carried out by the teachers during the practises. The realization of the practices is an indispensable requirement to pass the course. The weight of this activity is 25%.

3.- Evaluation of the works and directed problems. With an overall weight on the grade of 40%. The directed problems that will have to be delivered during the course will have a weight of 15% and a work that will have to be delivered at the end of the course will have a weight of 25%.

To pass the course, it is mandatory to obtain a grade in all assessment activities.

Single assessment

For the students who have taken the single assessment modality, the attendance to the laboratory and field practices is compulsory. The delivery date of the corresponding reports will coincide with that of the final exam.

Students who have taken the single assessment modality will also have to perform the end-of-course work and deliver it the same day as the final exam.

Students who are part of the single assessment modality must take a final test that will consist of an exam with problems, in addition to answering a multiple-choice questionnaire. These tests will take place on the same day, time and place as the second partial exam.

The student's grade will be the weighted average of the previous activities, in which the exam with problems will account for 25% of the mark, the questionnaire 30%, the end-of-course work 25% and the reports of the laboratory practices 20%.

If the final mark does not reach 5, the student has another opportunity to pass the subject through the recovery exam that will be held on the date set by the coordination of the degree. In this test it will be possible to recover 55% of the mark corresponding to the questionnaire and problems. The part of the end-of-course work and laboratory reports is not recoverable.

No avaluable

To pass the course, students must obtain a grade in all assessment activities. Students who do not receive a grade for any of the assessment activities will be assigned a final grade of "no avaluable".

Use of IA in this course

In this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as literature or information searches, text editing, or translations. Students must clearly identify any content generated using AI, specify the tools used, and include a critical reflection on how these tools influenced both the process and the final outcome of the assignment. Failure to disclose the use of AI in an assessed activity will be considered a breach of academic integrity and may result in a partial or total reduction of the assignment grade, or more severe disciplinary sanctions in serious cases.

Any irregularity committed during an assessment (including academic fraud, plagiarism, or the unauthorized use of AI, unless such use is explicitly authorized in the course guide) that may lead to a significant alteration of the assessment outcome will result in a grade of 0 for that assessment. If the course guide specifies that obtaining a minimum grade in that assessment is a mandatory requirement to pass the course, or if multiple irregularities occur in the assessments of the same course, the student's final course grade will be 0. In addition, disciplinary proceedings may be initiated against any student who commits any of these irregularities.