The main part of the course will consist of face-to-face theory sessions in the format of lectures by the lecturer, oral presentations by the students, as well as sessions combining theory and practice.

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

To pass the course, a total average grade of 5/10 must be obtained.

The course will be assessed through:

• Exam 1 on the theoretical content covered in class and the required readings. It accounts for 40% of the final grade.

• Exam 2 on the theoretical content covered in class and the required readings. It accounts for 40% of the final grade.

• Completion of a written assignment on the content covered in class. It accounts for 20% of the final grade.

The results of the assessable activities will be submitted through the UAB Virtual Campus service. Any review will take place during the designated hours (always by prior appointment).

Requirements to be eligible for the resit examination on the date set by the Faculty:

• The student must have submitted the assignment and all required deliverables in accordance with the guidelines set by the instructor and within the established deadlines.

• A minimum average grade of 3.5/10 must have been obtained across all assessment components.

• The student will receive a “not assessable” grade if they have submitted less than 30% of the assessment activities.

Any submission of one of the assignments or participation in one of the written exams will be considered an act of “in-person participation” in the course. Therefore, only those students who have not completed any assessment activity during the course may be considered “not assessable”.

In the event that any irregularities are carried out that could lead to a significant change in the grade of a given assessment activity, it will be marked with a 0, regardless of any disciplinary proceedings that may follow. If multiple irregularities are detected in the assessment activities of the same course, the final grade for the course will be 0.

This course does not provide for a single-assessment system.

At the time of each assessment activity, the lecturer will inform students (via Moodle) of the procedure and the date for reviewing the grades.

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

Exchange students who request to take an exam earlier must submit to the instructor a written document from their home university justifying their request.