The teaching methodology will benefit from the tools provided by the Virtual Campus of the UAB. To achieve the objectives of the subject, three types of learning activities are proposed: sessions with the all students, seminars with half of the students and autonomous work in groups on an scientific paper.

• Sessions with all students: The students acquire their own knowledge of the subject attending the classes, complementing them with the personal study. The sessions combine content delivery with active learning methodologies designed to encourage student participation to establish discussions or collective reflections, using Information and Communications Technologies and Learning and Knowing Technologies. In the classes, digital presentations are used to help the understanding of the contents, which are available on the UAB virtual campus.
• Seminars: The knowledge developed in sessions with all students and worked in the personal study is applied to the resolution of practical cases and in the discussion of original research papers published in international journals. Practical cases arise in the form of problems or questions, which are worked on small groups. These type of methodology allow us to reinforce and deepen the topics studied in the sessions with all students.
• Autonomous work in small groups on an article: It is proposed to carry out a cooperative work in small groups that is prepared outside the classroom and that involves tasks of documentation and group discussion on a topic of human genetics. Tutorials will guide students on how to do this work.

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.

a) Two written tests: each test is 30% of the final mark. The minimum mark to pass the subject will be 5 in each test.

b) Handling works performed in the classes: 20% of the final grade. There are evaluable works in some classes.

c) Work in small groups: 20% of the final mark. In this evaluation we will take into account: the oral presentation (5%), the work (15%) and the adjustment to the limited time. The evaluation of the oral presentation will be individual but the others will be common to all the members of the group.

To be able to pass the subject, the minimum mark is 5. At the end of the course there will be a remedial test for those students who have failed or not attended any of the two written tests. To be eligible for the retake process, the student should have been previously evaluated in a set of activities equaling at least two thirds of the final score of the course. The student will be graded as "No Avaluable" if the weighthin of all conducted evaluation activities is less than 67% of the final score.

Unique assessment

Students enrolled in the single assessment will have to take the two written tests and hand in the assignments from works performed in the classes on a single date, only for those that are not in group (under the same conditions as students with continuous assessment). The works performed in the classes that are in group and the work in small groups will be assessed on the same day that the students with continuous assessment will be assessed. The single assessment test will coincide with the same date fixed in the calendar for the last continuous assessment test and the same recovery system will be applied as for the continuous assessment. The same "No Avaluable" criterion used for continuous assessment will apply.

Use of artificial intelligence

In this subject, the use of Artificial Intelligence (AI) technologies is allowed as an integral part of the development of the work, provided that the final result reflects a significant contributionof the student in the analysis and personal reflection. 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. The lack of transparency in the use of AI will be considered a lack of academic honesty and may lead to a penalty in the grade of the activity, or greater sanctions in serious cases.

Academic Misconduct

Any irregularity committed during an assessment activity (including academic fraud, plagiarism, or the improper use of AI, unless such use is expressly authorized in the course guide) that may result in a significant alteration of the grade will lead to that assessment being awarded a mark of 0. If the course guide establishes that obtaining a minimum mark in that assessment is an essential requirement for passing 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 commits any of these irregularities.