Methodology.

Master classes with the active participation of students using practical cases (Problem-base Learning)

Seminars in smaller groups. The objective is to reinforce some of the concepts that have been developed in theory classes, through practical exercises, as well as the introduction of new concepts.

Self-learning, basically elaborating written works. First, students will propose a therapeutic plan for a clinical case proposed by the professor. This case will be accompanied by a minimum of tutoring to help them focus on the case. In the second part, they will co-evaluate and discuss their work and other works completed by anothers groups.

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.

This course does not include a single evaluation system.

Evaluation.

Final grade = grade - penalties.

Grade = Test (50%) + Written works (30%) + Co-evaluation/Discussion (15%) + Quizzes (5%)

Individual grade: Test

Collective grade: written work and co-evaluations/discussion done in groups of about 5 people, always the same throughout the course. Quizzes carried out in pairs during theoretical classes

Test

• required
• Minimum result to average with written works: 5 out of 10
• ~80 questions
• 4 alternatives only 1 certain
• Correct question: +1
• Question not answered -1/4

To obtain score for written work and co-evaluations, all of them must be completed

Written work

• Work in teams
• There will be 1 o 2 tutorials with the professor
• Evaluation by the teacher
• The group decides if everyone has the same score
• USE OF ARTIFICIAL INTELLIGENCE: For this subject, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as information searching, proofreading, or translations. Students must clearly identify which sections were generated using this technology, specify the tools used, and include a critical reflection on how these influenced the process and final outcome of the activity. Lack of transparency in the use of AI in this assessable activity will be considered academic dishonesty and may result in a partial or total penalty in the activity grade, or greater sanctions in serious cases.

Co-evaluations

• Evaluation/Discussion of work done by the group and by other students
• Evaluation of the coevaluation by the teacher

Minimum result of Written Work + Co-evaluations to average with Test: 5 out of 10

Quiz of Practical cases

• Not mandatory
• Evaluation of participation in the resolution of practical cases presented in class

Penalties

• Seminars: -1/ seminar
• Delayed works: -0,5

Passed subject

Final grade ≥ 5

A student will be considered not evaluable if he/she has participated in evaluation activities that represent ≤ 15% of the final grade.

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Second chance for individual grade

• Short written questions (6-10)
• Minimum result to average with written works: 5 out of 10

Second chance for written works

• Not available
• The previously obtained grades are used
• Averaging as indicated above

Passed subject

Final grade ≥ 5