Identifying Data					2021/22
Subject (*)	Neuroengineering and innovation in neuroscience			Code	614522016
Study programme	Mestrado Universitario en Bioinformática para Ciencias da Saúde
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	1st four-month period	Second	Optional	3
Language	Spanish Galician
Teaching method	Hybrid
Prerequisites
Department	Ciencias da Computación e Tecnoloxías da Información Fisioterapia, Medicina e Ciencias Biomédicas
Coordinador	Rouco Maseda, Jose		E-mail	jose.rouco@udc.es
Lecturers	Cudeiro Mazaira, F.Javier Rivadulla Fernandez, Juan Casto Rouco Maseda, Jose		E-mail	javier.cudeiro@udc.es casto.rivadulla@udc.es jose.rouco@udc.es
Web	http://moodle.udc.es
General description	The student will know the latest advances in Brain-Computer-Interface (BCI) technology and what type of data are analyzed in this type of systems
Contingency plan	1. Modifications to the contents None. 2. Methodologies *Teaching methodologies that are maintained All of them. *Teaching methodologies that are modified If necessary, all the used methodologies could be applied on a non-presential basis with the available tools (Moodle, Teams, etc.) 3. Mechanisms for personalized attention to students Continuous attention in Teams, Moodle and email. 4. Modifications in the evaluation Not necessary. *Evaluation observations: None. 5. Modifications to the bibliography or webgraphy None.
Study programme competencies Learning aims Contents Planning Methodologies Personalized attention Assessment Sources of information Recommendations
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.