The methodology of this subject includes lectures, laboratory practicals, preparation of laboratory practicals, study and research, tutorials and assessment activities.

The detailed calendar with the content of the different sessions will be displayed on the day of presentation of the course and will also be available on the Virtual Campus of the course, where students can find the different teaching materials and all the information necessary for the proper monitoring of the course. In the event of a change of teaching modality for reasons of force majeure according to the competent authorities, the lecturer will inform of the changes that will take place in the course schedule and in the 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.

*** This module does not use a single-assessment system.

Assessment for the module will be based on three components: theory (30%), practical exercises (30%) and group work (40%).

All three components of the assessment must be passed individually in order for the overall mark to be calculated. The minimum mark required to pass each component is 5/10.

The ‘practical exercises’ component is excluded from the retake option. Therefore, failing the practical exercises results in a fail for the course.

Attendance at practical sessions is compulsory. Up to two justified absences are permitted for practical activities.

Retake

Students will be entitled to a resit for the module:

• If you have been assessed on a set of activities whose weighting is equivalent to at least two-thirds of the course’s total mark.
• In order to get retake phase of the course, students must have achieved a minimum average mark of 3.5.
• Practical exercises (30% of the final mark) are excluded from the resit process.

If a student commit any irregularity that could lead to a significant variation in the mark for an assessment, that assessment will be marked as 0, irrespective of any disciplinary proceedings that may be initiated.

When several irregularities occur in the assessments for the same module, the final mark for that module will be 0 (equivalent to a fail).

Not assessable

In this module, a student will be marked as ‘not assessable’ if they fail to attend any of the assessment activities scheduled on the dates indicated in the academic calendar without a duly justified reason (such as illness with a doctor’s note, the death of a close relative, a court summons, or other duly documented similar circumstances).

Plagiarism

Should a student commit any irregularity that could lead to a significant variation in the mark for an assessment, that assessment will be marked as 0, irrespective of any disciplinary proceedings that may be initiated. Should several irregularities occur in the assessments for the same module, the final mark for that module will be 0 (equivalent to a fail).

Artificial Intelligence

In this module, the use of Artificial Intelligence (AI) technologies is permitted in specific activities, which will be detailed and explained by the teaching staff. Abusive use of the AI is penalised, from fewer points on the activity or exercise to suspension of the practical part.

However, when using AI, students must provide a critical reflection on the use of this technology, along with an analysis and personal reflection.

Students must clearly identify which parts have been generated using this technology, specify the tools used, and include a critical reflection on how these have influenced the process and the final outcome of the activity.

A lack of transparency regarding the use of AI will be considered a breach of academic integrity and may result in a mark deduction for the activity, or more severe sanctions in serious cases.

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.