The subject is structured around theoretical classes, problems and practices. The follow-up of the subject is face-to-face, but it will be necessary to extend the teacher’s explanations with the student’s autonomous study, with the support of the reference bibliography and the material provided by the teacher.

The problem class will focus on solving some of the proposed problems. In the practical classes we will work with R and his libraries. Student participation in problem and practice classes will be especially valued.

The final grade for this course is obtained as the weighted average of the following components:

• PAC1 (25%)
• PAC2 (15%)
• Problems Exam (50%)
• Practice Exam (10%)

The continuous assessment activities are:

• PAC1 (a problem-solving test), and
• PAC2 (problems/practical exercises in R, whose specific content will be defined throughout the course and which will be completed and submitted during the face-to-face classes over the semester).

Only grades of 3.5 out of 10 or higher will be considered in the calculation of the weighted average. Any grade below this threshold will contribute 0 to the weighted average.

To pass the course, this weighted average must be at least 5.0 out of 10.

Students who do not pass the course in the first assessment period may sit the resit examination.

For students taking the resit examination, the resit exam accounts for 85% of the final grade. Only students who have failed the course in the first assessment period are eligible to take the resit examination. The resit examination may not be used to improve the grade of students who have already passed the course.

The remaining 15% corresponds to the grade obtained in PAC2, which is not recoverable.

A student will be considered assessable if they have taken the PAC1 test, submitted at least one PAC2 assignment, or sat any of the examinations.

Otherwise, the student will be recorded as "Not Assessed".

For the possible award of Honours Distinction (Matrícula d'Honor), grades obtained in the resit examination period will not be taken into account.

USE OF ARTIFICIAL INTELLIGENCE (AI): In this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as literature or information searches, text revision, or translation. Students must clearly identify any parts of their submitted work that have been generated using AI technologies, specify the tools used, and include a critical reflection on how these tools have influenced both the process and the final outcome of the activity. Lack of transparency regarding the use of AI will be considered a breach of academic integrity and may result in a partial or total penalty in the grade for the activity, or more severe disciplinary measures in serious cases.

Any irregularity committed in an assessment activity (academic fraud, plagiarism, or improper use of Artificial Intelligence, unless such use is expressly authorized in the course syllabus) that may lead to a significant alteration of the grade will result in that assessment activity being graded with a 0 (fail).

If the course syllabus establishes that obtaining a minimum grade in that assessment activity is an essential requirement to pass the course, or if multiple irregularities are detected in the assessment activities of the same course, the final grade for the course will be 0 (fail).

In addition, disciplinary proceedings may be initiated against any student who commits any of these irregularities.