The teaching methodology includes three main types of activities (theoretical classes, problem classes and practicals in the computer room) and one complementary one (tutorials).

Theory classes: provide the student with the basic conceptual elements and information so that they can then develop independent learning. In addition to the essential theoretical body, illustrative examples will also be presented and the main applications in Genetics will be discussed.

Problem classes: in these classes, which will be held in smaller groups, selected exercises will be solved where theoretical knowledge will be put into practice, while critical reasoning will be encouraged. In class, only a representative selection of the proposed exercises can be solved; the others will be left for the students' independent or group work outside of class times.

Practice in the computer room: They will provide an introduction to several common computer tools for mathematical and statistical computation.

Tutoring: Individual or small group tutoring is planned, in order to solve questions that remain doubtful, at a time to be arranged.

The assessment is continuous and comprimes two parts, which are specified below along with their weight in the final grade:

• Written exams (80%). They will consist of two partial exams in correspondence with the two parts into which the subject is divided (topics 1-4 and topics 5-8). Both exams will count equally, provided you have obtained a minimum grade of 4 out of 10 in each of them.

• Evaluation of practicals (20%): It will appraise the completion of computer practicals and the presentation of exercises related to them. The deliveries will take place at the end of the practical sessions. Each practical session contributes equally to the final practical grade. Unjustified absence from a practical session will be awarded a grade of 0 for that session. Exceptions will only be made in cases of illness or force majeure, subject to the submission of appropriate official documentation.

The final course grade is calculated as follows. Let NP denote the weighted grade, computed as 80% from the written exams (40% each) and 20% from the practical sessions. If a minimum grade of 4 out of 10 is obtained in both written exams, the final grade NF is equal to NP. Otherwise, the final grade NF is the lower of NP and 4. The course is passed if NF is greater than or equal to 5.

If NF is below 5, students may take the recovery exam for any partial exam they have failed, where applicable. The grade obtained in the recovery examination(s) will replace the corresponding partial exam grade(s). The final grade will then be recalculated using the same procedure described above. The practical sessions grade is not recoverable.

If the evaluation activities carried out do not gather a weight greater than 66.7%, then the student will receive the qualification of "Not assessed".

This course does not provide for the single assessment system.

Use of the AI: In this subject it is not allowed the use of Artificial Intelligence (IA) in any of his phases. Any work including fragments generated by IA will be considered a lack of academic honesty and can lead to a partial or total penalty in the activity grade, or bigger sanctions in case of gravity.

«Any irregularity committed during an assessment activity (including academic fraud, plagiarism, or the improper use of artificial intelligence, unless such use is explicitly authorized in the course syllabus) that may lead to a significant distortion of the assessment outcome will result in a grade of 0 for that assessment. If the course syllabus requires a minimum grade in that assessment activity in order to pass the course, or if multiple irregularities are committed in the assessment activities of the same course, the final course grade will be 0. In addition, students who engage in any of these irregularities may be subject to disciplinary proceedings.»