The methodology of the subject is based on a combination of theoretical and practical classes. During the theoretical classes, the professor will present the fundamental concepts of the assignment, whereas, in the practical courses, students will be those who, working individually or in small groups, will carry out the activities and exercises proposed during the course.

Will be encouraged to work in collaborative groups, the use of ICTs, and also the use of specialized software (eg: R, MINITAB, Excel, SREMS, SAEDES, etc.).

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 evaluation of the subject is based on the completion of several tests: two theoretical exams to evaluate the theory part (T), two problem-solving tests to evaluate the problems part (P), and a practical laboratory test (L), which will consist of the resolution of a practice and delivery of a report. The base grade for the subject will be the weighted average of grades (T = 0.3, P = 0.3, L = 0.4), being necessary to obtain more than 3.5 points out of 10 in each part to be able to make this average.

The final grade for the subject will be the previous base grade plus possible additional points that can be obtained by carrying out voluntary work and activities that the teacher proposes during the course.

Transversal skills are worked on and evaluated through mandatory laboratory activities (which can be done in small groups of 2 or 3 members with prior authorization from the teaching staff) and the optional preparation of topics that students work on in small teams and that must be presented orally. in class for a few minutes. These voluntary activities can lead to up to 1 or 2 extra points in the evaluation (depending on the quality of the work and public presentation).

To qualify for an MH you must obtain the highest possible grade for each of the controls carried out, have given a brilliant presentation, have actively participated in classes, and have always shown an attitude of maximum interest towards the subject.

Anyone who has taken the evaluation tests and has not passed but has obtained a grade of 3.5 or higher will be able to make a retake on the established date and time.

The virtual platform that will be used for communication with professors will be the UAB email and the UAB Virtual Campus.

There is no differentiated treatment in the case of repeaters.

A student is considered Non-Evaluable (Not Presented) if they have not participated in any of the course assessment activities.

Without prejudice to other disciplinary measures that are deemedappropriate, and in accordance with current academic regulations, irregularities committed by the student that may lead to a Variation in the Grade of an evaluation act will be graded with a zero. Therefore, copying or allowing a practice to be copied ANY other Evaluation activity will imply failing with a zero.

Use of Natural Language Models

For this subject, the use of Artificial Intelligence (AI) technologies such as ChatGPT is allowed exclusively in support tasks, such as bibliographic or information search, generate or modify content, text correction or translations. The student must clearly identify which parts have been generated with this technology, specify the tools used and include a critical reflection on how these have influenced the process and the final result of the activity. If model-generated snippets are used, it is essential to properly cite the sources. It is the responsibility of the student to critically evaluate the text generated. The lack of transparency of the use of AI in this assessable activity will be considered a lack of academic honesty and may lead to a partial or total penalty in the grade of the activity, or greater sanctions in serious cases.