The center of the learning process is the work of the student. The student learns working, being the mission of the teaching staff help him/her in this task by providing information or showing him/her the sources where one can get it and directing your steps in a way that the learning process can be carried out effectively. In line with these ideas, and in accordance with the objectives of the subject, the course development is based on the following activities:

Theory classes:

The student acquires the scientific-technical knowledge of the subject assisting the theory classes, complementing them with self-study of the subjects explained in order to assimilate the concepts and the procedures, to detect doubts and to realize summaries and schematics of the subject. In the theory classes, the professor introduces the basic concepts of the subject, showing their application. The classes are taught with blackboard and the support of ICT.

Problems and practices:

Problems and practices are sessions with a smaller number of students where the scientific-technical knowledge presented in the theory classes is worked on to complete their understanding and deepen it by solving problems and practical cases, with the appropriate software. Students will work individually or in groups, under the supervision of the professor, solving the proposed problems. This will be done both in class and autonomously by the student.

In the computer practice sessions, the student will learn to use computer tools for descriptive analysis of data sets and statistical inference.

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 outcome reflects a significant contribution by the student in terms of analysis and personal reflection. The student must clearly identify which parts have been generated using this technology, specify the tools used, and include a critical reflection on how these tools have influenced the process and the final outcome of the activity. Lack of transparency in the use of AI will be considered a breach of academic honesty and may result in a penalty in the activity 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.

Continued evaluation.

The evaluation of the subject consists of a part of continuous evaluation of the acquired competences: there will be two partial exams, each with a weight of 35%. These two partials will be the recoverable part of the subject.

The evaluation of the practices will have a weight of 30% in the final evaluation of the subject. The mark of the practice part will be obtained from the delivery of some works.

To participate in the recovery examination, the students must have been previously evaluated in a series of activities whose weight equals a minimum of 2/3 of the total grade of the subject. Therefore, the students will obtain the \"Non-evaluable\" qualification when the evaluation activities carried out have a weighting of less than 67% in the final grade.

Unique evaluation.

The unique evaluation consists of a single summary exam in which the contents of the entire theory program of the subject will be assessed. The grade obtained in this final exam will account for 70% of the final grade of the subject. The date of this exam will coincide with that fixed in the calendar for the last continued evaluation exam and the same recovery system will be applied as for the continued evaluation.

The evaluation of practice activities and the delivery of assignments will follow the same procedure as the continued evaluation. The grade obtained will have a weight of 30% in the final evaluation of the subject.

Minimum grades.

A minimum grade of 3.5 out of 10 is required for each exam (partial, final or recovery). A minimum grade of 4 out of 10 is also required for each delivery. If these minimum grades are achieved, the final grade is the weighted average. Otherwise, the final grade is calculated as the minimum between the weighted average and 4.5 (all rated out of 10).

Any irregularity committed during an assessment activity (academic misconduct, plagiarism, or improper use of AI, unless such use is expressly authorized in the course syllabus) that may lead to a significant alteration of the grade will result in that activity being graded as 0. If the course syllabus stipulates that obtaining a minimum mark in this assessment is an essential 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. Furthermore, disciplinary proceedings may be initiated against any student who incurs any of these irregularities.