The teaching methodology followed in the subject is based on a series of training activities that require the presence of the student in the classroom or laboratory, and a series of individual activities that require personal work on the part of the student.

Training activities

• Theoretical lectures
• Exercise-based classes
• Mandatory laboratory classes: They will be carried out in a specific laboratory of the subject
• Supervised activities: Tutoring and consultations. The virtual campus (ALUA Moodle) will be used to facilitate interaction.
• Autonomous: Preparing exercises and practical assignments. Other independent studies

There is no differentiated treatment for repeating students.

In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of the development of the work, provided that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. The student must clearly identify which parts were generated using such technology, specify the tools employed, and include a critical reflection on how these influenced the process and the final outcome of the activity. Lack of transparency in the use of AI will be considered academic dishonesty and may result in a penalty in the activity’s grade, or more serious sanctions in severe cases.

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.

a) Process and scheduled evaluation activities

The course includes the following evaluation activities:

• Individual tests (knowledge): evaluated through individual tests. The final test is mandatory. The student is not exempt from content even if partial evaluation activities have been passed.
• Work developed: evaluated based on the oral presentation of the project and the proposed work, submission of reports and exercises completed in class, and questionnaires on the virtual campus.
• Laboratory activity: evaluated throughout practical sessions, including presentation of results, reports, and a demonstration video of the work.

To pass the course via continuous assessment, it is essential to pass each part and meet the following minimum requirements:

• Minimum grade of 4.5 in the knowledge section (individual tests).
• Minimum grade of 5 in laboratory practices, with a minimum attendance of 85% and all reports approved.

It should be noted that laboratory activity is non-recoverable; therefore, failing it with a grade below the indicated minimum means the course cannot be passed.

The final grade is obtained according to the weights shown in the \"Evaluation Activities\" table, provided all parts are passed. Otherwise, if the overall calculation is equal to or greater than 5 but some part is failed, a final grade of 4.5 will be assigned.

b) Scheduling of evaluation activities

Dates for continuous evaluation and submission of work will be published on the virtual campus. These may be subject to change due to teaching organization or incidents. Any changes will be communicated via the virtual campus and in class.

c) Recovery process

• Students may take the recovery exam if they have participated in a set of activities that represent at least two-thirds of the total grade for the course. Students with an average grade higher than 3 across all course activities may take the recovery exam.
• Mandatory activities not submitted during the course (oral presentation of the project or proposed work) can be presented on the final exam day, with a grade of \"pass\" (5) or \"fail\" (≤3).
• The “Laboratory Practices” activity is non-recoverable. If a grade below 5 is obtained in this section, the course cannot be passed.

d) Grade review procedure

For each evaluation activity, a place, date, and time will be set for review, during which students can review their work with the teaching staff. In this context, grade appeals may be made and will be evaluated by the course instructors. If the student does not attend this review, no further revisions will be made for that activity.

e) Special grades: Not Evaluated and Honors

• A student who has not completed any evaluation activity will receive a “Not Evaluated” grade.
• Honors: Awarding an honors grade is at the discretion of the course instructors. UAB regulations indicate that honors can only be granted to students who achieve a final grade of 9.00 or above. Up to 5% of the enrolled students may receive honors.

f) Consequences of irregularities committed by students: copying, plagiarism...

Without prejudice to other disciplinary measures, any irregularities committed by students that may affect the grade of an evaluation activity will be graded with a zero. Thus, copying, plagiarism, cheating, or allowing others to copy in any evaluation activity will result in failing that activity with a zero.

The use of artificial intelligence (AI) technologies is permitted as support in the development of work, provided that the student makes a significant contribution in the analysis and personal reflection. It is necessary to clearly indicate which parts were generated with AI, the tools used, and provide a critical reflection on how they influenced the process and results. Lack of transparency in this use will be considered academic dishonesty and may result in grade penalties or other disciplinary measures.

g) Evaluation of repeating students

As a general rule, no distinction is made between repeating and non-repeating students in terms of evaluation. All must follow the same system and requirements.

h) Single evaluation

This course does not contemplate a single evaluation system.