Estudia

• CB01 Analitzar situacions complexes i dissenyar estratègies per resoldre-les
• CB02 Planificar i organitzar les propostes i projectes
• CB03 Aplicar criteris de qualitat a les propostes i / o projectes
• CB04 Avaluar la pròpia activitat i aprenentatge, i elaboració d'estratègies per millorar-los
• CB05 Prendre decisions per a la resolució de situacions diverses
• CB06 Coneixement, administració i manteniment de sistemes, dispositius i serveis biomèdics
• CB07 Utilitzar tecnologies de la informació i la comunicació i especialment la programació i ús d'ordinadors
• CB08 Recollir, seleccionar i organitzar informació de manera eficaç
• CT01 Utilitzar la llengua anglesa
• CT02 Treballar en equip
• CT03 Comunicar-se oralment i per escrit
• CT06 Dissenyar propostes creatives
• CES1 Abstreure, formular i resoldre problemes fonamentals d'enginyeria biomèdica, circumscrits a l'àmbit de la informàtica, l'electrònica i la mecànica
• CES2 Analitzar problemes computacionals i desenvolupar solucions algorísmiques acord
• CES4 Desenvolupar algoritmes per al tractament i anàlisi de senyals i imatges biomèdiques

1. Fundamentals of Neurosience

2. Neuroimaging techniques

3. Physiology of the central nervous system

4. Neuroimaging tools

5. Image quantification and morphometry

6. Spatio-temporal analysis

• González, Rafael C (2004). Digital image processing using Matlab. . Upper Saddle River : Prentice Hall, cop. Catàleg
• K.J. Friston, J. T. Ashburner, et al. (2007). Statistical parametric mapping. The analysis of functional brain images. Academic Press. Catàleg
• M. Jenkinson, C.F. Beckmann, T.E. Behrens, M.W. Woolrich, S.M. Smith (2012). FSL. Neuroimage, 62(), 782-90
• Mark Jenkinson, Michael Chappell (2021). Introduction to Neuroimaging Analysis. Oxford University Press.
• Duane E. Haines (2014). Principios de neurociencia : aplicaciones básicas y clínicas . Elsevier Science, cop. 2014.
• Walter G. Bradley (2010). Neurología Clínica. Elsevier. Catàleg

Activitats d'avaluació:

The continuous evaluation is based on two different activities: 1) Practical use cases; and 2) Lab sessions and project.

Students will be able to recover individual activities if they fail to obtain the minimum mark (mark=5). In the case in which students have to recover more than 80% of the course, they will have to move to the unique evaluation based on a final exam.

If fraudulent actions are detected in any type of academic activity (use of information without authorization, use of false information, use of unauthorized devices, impersonation, total or partial plagiarism, purchase and sale of tests, practices and assignments, etc) the students involved will automatically fail the subject. Depending on the type of fraudulent act, the School Management will initiate the appropriate procedures in accordance with Law 3/2022 of February 24 on University Coexistence (https://www.boe.es/eli/es/l/2022/02/24/3)

Criteris específics de la nota «No Presentat»:
NP will be considered when the students do not submit any of the evaluation activities

Avaluació única:
Students should do an exam related to the contents seen in the course (both theoretical and practical concepts).

Requisits mínims per aprovar:
The minimum qualification to pass the course will be 5.0

To stablish the appointments students can use moodle or sent emails to the teachers. These appointments can be done online via google meet meetings or in person (Teacher offices)

The communitation and interaction with the student will be mainly done via moodle, having also specific forums for the activities.

Students can also interact with the teacher via email or via videoconferences (google meet).