Degree | Type | Year |
---|---|---|
Bioquímica, Biología Molecular y Biomedicina | PR | 1 |
You can view this information at the end of this document.
That students know and learn how to develop in a professional environment, having a proactive and entrepreneurial attitude in the field of Biochemistry,
Molecular Biology and Biomedicine
Stay in a public research or healthcare center, or in a private company, performing tasks specific of the field of Biochemistry, Molecular Biology
and Biomedicine, with the aim of increasing the professional training of students.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Supervised | |||
Internship | 224 | 8.96 | CA26, CA27, CA28, KA37, KA38, SA36, SA37, SA38, CA26 |
Carrying out practical activities according to the training project. Reading scientific articles. Tutorials. Presentation and discussion of results.
Preparation and oral presentation of the practical report.
A total of 200 hours of supervised practicals and 24 autonomous hours. In this subject, the use of artificial intelligence technologies is allowed as an integral part of the work, provided that the final result reflects a significant contribution
by the student in the analysis and a 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 have influenced the process and final result of the activity. The lack of transparency in the use of artificial intelligence
will be considered as poor academic honesty and may lead to a penalty in the grade given to the activity, or even greater sanctions in serious cases. Note: 15 minutes of a class will be reserved, within the calendar established by the center/degree, for students to complete the surveys to evaluate the performance of the
teaching staff and, also, to evaluate the whole module
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.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Oral presentation | 35% | 1 | 0.04 | CA28, KA38, SA36, SA37, SA38 |
Practice report | 35% | 0 | 0 | CA26, CA27, CA28, KA37, KA38, SA36, SA37, SA38 |
Report by the person responsible for the stay or the academic tutor | 30% | 0 | 0 | CA26, CA27, CA28, KA37, KA38, SA36, SA37, SA38 |
The internship report and oral presentation will have the characteristics specified in the Master's Thesis (TFM) Teaching Guide (see the "contents" section),
since this report and its defense are used to evaluate both modules.
To allow student evaluation, the module Coordinator must receive a confidential report from the person responsible for the stay
and the written TFM work report prepared by the student, within the period previously established by Coordination.
In addition, students must make an oral presentation of this research work.
In case of not meeting any of these requirements, the module qualification will be considered "NOT EVALUABLE". This module does not allow a single evaluation system. Important:
* If total or partial plagiarism from other sources is detected in the internship report submitted, it will automatically be considered as a failure of the entire module.
* In this subject, the use of artificial intelligence technologies is allowed as an integral part of the work, provided that the final result reflects a significant contribution
by the student in the analysis and a 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 have influenced the process and final result of the activity. The lack of transparency in the use of artificial intelligence
will be considered as a poor academic honesty and may lead to a penalty in the grade given to the activity, or greater sanctions in serious cases.
The reference bibliography will include that of each modul of the Master, plus that specific of the internship topic.
The software used will include that of each Master modul, plus the specific one for the internship.
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.