The teaching methodology of this subject combines different elements: lectures and seminars; problem-based learning; cooperative learning; case resolution.

Communication with students will take place via the Virtual Campus (Moodle).

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.

The course consists of the following assessment activities:

• Exams (70%): Two exams will be held. Exam 1 (30% of the final grade) and covers Topics 1 and 2; Exam 2 (40% of the final grade) covers the complete syllabus. These exams will include both theoretical questions and practical exercises.
• Graded classroom activities (30%): This component of the grade cannot be retaken (it is non-recoverable). Individual tests and graded group exercises will be carried out during classroom sessions.

Non-participation in any of the assessment activities will be graded as a zero.

To pass the course through continuous assessment, students must obtain a minimum grade of 5 on each exam and an overall grade of at least 5 for the course. If this requirement is not met, the student may take a make-up exam.

Assessment Schedule:

At the beginning of the course, the schedule for in-class assessment activities will be announced.

Exams will take place according to the official exam calendar for the degree program.

Make-up Process:

The make-up process is only available to students who have not passed the course through continuous assessment.

Exams may be retaken with a synthesis make-up exam for the course.

The final grade calculation during the resit process will follow the same method as continuous assessment, applying the same minimum grade criteria.

In-class graded activities cannot be recovered.

Grade Review Procedure:

For each assessment activity, a time, date, and location will be provided for students to review their work with the instructor. In this context, students may file grade-related complaints, which will be evaluated by the instructor responsible for the course. If a student does not attend the review, the activity will not be reviewed later.

Grading:

Honors (MH): Awarding an “Matrícula d’Honor” is at the discretion of the course instructor. According to UAB regulations, MH can only be given to students who achieve a final grade of 9.00 or higher. A maximum of 5% of enrolled students may receive this distinction.

Students will be considered Not Assessable (NA) if they do not attend either the theory exam or the make-up exam.

Irregularities: Cheating and Plagiarism

Without prejudice to other disciplinary actions, any irregularities that could affect the grading of an assessment activity will be marked with a zero. This includes cheating, plagiarism, deception, allowing others to copy, etc., in any evaluation activity.

Assessment of Repeating Students

Students retaking the course will be assessed in the same way as the rest of the class.

RESTRICTED USE OF AI

Restricted use: For this course, the use of Artificial Intelligence (AI) technologies is allowed exclusively for tasks involving text correction or improvement, but not for content generation. Students must clearly indicate how they have used these technologies, specify the tools employed, and include a critical reflection on how these influenced both the process and the final outcome of the activity. Lack of transparency in the use of AI in assessable activities will be considered academic dishonesty and may result in partial or total penalties to the activity grade, or more serious sanctions in severe cases.