| Study programme competencies |
| Code | Study programme competences |
| A3 | CE3 – To analyze, design, develop, implement, verify and document efficient software solutions based on an adequate knowledge of the theories, models and techniques in the field of Bioinformatics |
| A6 | CE6 - Ability to identify software tools and most relevant bioinformatics data sources, and acquire skill in their use |
| A7 | CE7 - Ability to identify the applicability of the use of bioinformatics tools to clinical areas. |
| B1 | CB6 - Own and understand knowledge that can provide a base or opportunity to be original in the development and/or application of ideas, often in a context of research |
| B2 | CB7 - Students should know how to apply the acquired knowledge and ability to problem solving in new environments or little known within broad (or multidisciplinary) contexts related to their field of study |
| B5 | CB10 - Students should possess learning skills that allow them to continue studying in a way that will largely be self-directed or autonomous. |
| B6 | CG1 -Search for and select the useful information needed to solve complex problems, driving fluently bibliographical sources for the field |
| B7 | CG2 - Maintain and extend well-founded theoretical approaches to enable the introduction and exploitation of new and advanced technologies |
| B8 | CG3 - Be able to work in a team, especially of interdisciplinary nature |
| C1 | CT1 - Express oneself correctly, both orally writing, in the official languages of the autonomous community |
| C2 | CT2 - Dominate the expression and understanding of oral and written form of a foreign language |
| C3 | CT3 - Use the basic tools of the information technology and communications (ICT) necessary for the exercise of their profession and lifelong learning |
| C6 | CT6 - To assess critically the knowledge, technology and information available to solve the problems they face to. |
| C8 | CT8 - Rating the importance that has the research, innovation and technological development in the socio-economic and cultural progress of society |
| Learning aims | |||
| Learning outcomes | Study programme competences | ||
| Know fundaments of the biomechanics | AJ3 AJ6 AJ7 |
BJ7 |
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| Know the biometric systems, the standard protocols and the communications with this type of devices in the health. | AJ3 AJ6 AJ7 |
BJ8 |
CJ1 |
| Know purchase, analyse and interpret pertinent data of sensors | AJ3 AJ6 AJ7 |
BJ8 |
CJ1 |
| Know the telemedicina project examples | AJ7 |
BJ1 BJ2 BJ5 BJ6 BJ7 BJ8 |
CJ8 |
| Know to do clasification the technological requirements for the deployment of projects of telemedicina | AJ7 |
BJ1 BJ2 BJ5 BJ6 |
CJ8 |
| Saber identificar os requisitos tecnolóxicos para a implantación de proxectos de telemedicina. | AJ3 AJ6 AJ7 |
CJ2 CJ3 CJ6 CJ8 |
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| Contents |
| Topic | Sub-topic |
| Biomechanical engineering | Introduction to the biomechanics. Foundations and fields of work |
| Sensorization | The participatory health. The monitoring in the field of the biomedicine |
| Telemedicina | Applications of the sensors no invasivos in projects of health. Telemonitorization. Teleradiology. Example of access to PACS |
| Planning | ||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Supervised projects | A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8 | 5 | 10 | 15 |
| Objective test | A3 A6 A7 B1 B2 B5 B6 B7 C1 C2 C6 C8 | 5 | 10 | 15 |
| ICT practicals | A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8 | 15 | 15 | 30 |
| Guest lecture / keynote speech | A3 A6 A7 B1 B2 C3 C6 C8 | 5 | 5 | 10 |
| Personalized attention | 5 | 0 | 5 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
| Methodologies |
| Methodologies | Description |
| Supervised projects | Will carry out diverse practical works to put in practice the theoretical contents exposed in the face-to-face classes. |
| Objective test | Assesment about theoretical contents. It will be able to be suppressed by the active participation of the students in the works and the ICT exercices. |
| ICT practicals | Practices to realise during the classes |
| Guest lecture / keynote speech | Classes of theory that base the practices of the subject |
| Personalized attention |
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| Assessment | |||
| Methodologies | Competencies | Description | Qualification |
| Supervised projects | A3 A6 A7 B1 B2 B5 B6 B7 B8 C1 C2 C3 C6 C8 | Works done by groups for the application of the theoretical contents | 60 |
| Objective test | A3 A6 A7 B1 B2 B5 B6 B7 C1 C2 C6 C8 | Assesment that will be able to be substituted by an active participation during the practices and the supervised work | 40 |
| Assessment comments | |||
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It is necessary to obtain a minimum assessment of 50% in each block. The objective test (exam) could be changed by class projects |
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| Sources of information |
| Basic |
NEMA: National Electrical Manufacturers Association (2017). DICOM. Digital Imaging and Communications in Medicine. Web: http://dicom.nema.org/
Lazakidou, Athina A. et al (2009). Handbook of research on distributed medical informatics and e-health . Hershey, PA : Medical Information Science Reference
deBronkart, Dave (2011). Libro Blanco de los e-Pacientes en Español. Disponible en: https://participatorymedicine.org/epatients/2011/11/wp-espanol.html
Fawcett Tom (2015). Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science . Big Data. January 2016, 3(4): 249-266
Project-redcap.org. (). Redcap (Research Electronic Data Capture). Vanderbilt University
Society of Participatory Medicine (2017). Society of Participatory Medicine. Web: https://participatorymedicine.org/ |
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| Complementary | |
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| Recommendations | |
| Subjects that it is recommended to have taken before |
| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |