The teaching methodology is based on two approaches: a theoretical and a practical one.

Theoretical approach

The theoretical part aims to provide the basic knowledge needed to understand each topic. Furthermore, students will have to deepen these concepts autonomously to improve their knowledge and develop non-guided learning strategies. To facilitate these tasks, bibliographic, multimedia, and interactive material will be provided. Finally, individual tutoring sessions are planned if students require them. These sessions should allow the professor to calibrate the progress of the students and to help them understand the most complex concepts.

Practical approach

Problem-solving material will be provided to learn how to apply theoretical knowledge to practical exercises. The students will find the problems to solve in the Virtual Campus, and they will work them by applying theoretical concepts concomitantly with mathematical and statistical tools. Students can also request individual tutoring sessions to facilitate the understanding of the most complex problems.

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 completion of any irregularity in an assessment activity (academic fraud, plagiarism, or improper use of AI, unless such use is expressly authorized in the course syllabus), which may lead to a significant change in the grade, will result in that activity being graded with a 0. If the syllabus establishes that achieving a minimum grade in that assessment activity is a mandatory requirement to pass the course, or if multiple irregularities occur in the assessment activities of the same course, the final grade for the course will be 0. In addition, disciplinary proceedings may be initiated against any student who engages in such irregularities.

CONTINUOUS EVALUATION:

The competencies of this subject will be assessed through continuous evaluation, which will include, on the one hand, two written tests covering theory and problem-solving; and on the other hand, the evaluation of the exercises carried out during problem-solving classes, as well as follow-up quizzes. The evaluation system, considering the specific weight of each component, will be as follows:

1. Exams. There will be 2 midterm exams to evaluate the progressive understanding and acquisition of the contents. The exams weight 60% of the final mark. To pass the exam it is necessary to have a 5.

2. Evaluation of in-class exercises and follow-up quizzes. This component accounts for 40% of the final grade for the course.

3. Retake examination. It will cover the parts of the assessment that have not been previously passed. This examination may also be used to improve the final grade of the course. In this case, the grade obtained will replace the previous mark and the entire course will be reassessed. To pass the exam, a minimum grade of 5 is required. Likewise, to pass the course, a minimum grade of 5 is required in each of the assessment activities.

To be eligible to take the retake examination, students must have been previously assessed in activities representing at least 67% of the total weight of the course assessment. The grade “Not assessable” will be assigned when the completed assessment activities account for less than 67% of the total weight of the course assessment.

Attendance at the retake examination requires submission of the exam under the established conditions. If the student attends the exam but does not submit it, the grade will be recorded as ‘Not submitted’.

Students have the right to request a review of the exam grade in accordance with current regulations.

* Use of AI by students

In problem-solving activities, the use of Artificial Intelligence (AI) tools is permitted as support for understanding concepts, searching for information, or reviewing content.

However, the use of AI is not allowed for the direct solving of problems or for the production of answers that must be the result of the student’s individual work. Students must be able to explain, justify, and reproduce the problem-solving process independently. Any inappropriate use of AI that involves replacing the student’s own work will be considered an act of academic dishonesty.

SINGLE EVALUATION:

The single assessment consists of a single synthesis examination in which the contents of the entire course syllabus will be assessed. The exam will include multiple-choice questions (50%), problems (30%), and essay-type questions (20%). The grade obtained in this synthesis examination will account for 100% of the final course grade.

The single assessment examination will be held on the same date scheduled in the calendar for the final continuous assessment test. To pass the exam and therefore the course, a minimum grade of 5 is required.

However, in order for the exam to be graded, students must answer at least 50% of the multiple-choice questions, 50% of the problems, and 50% of the essay questions; otherwise, the grade “Not assessable” will be assigned.

The review of the final grade will follow the same procedure as in continuous assessment. The retake examination date will be held on the same date scheduled in the calendar as for students opting for continuous assessment.