Identifying Data					2019/20
Subject (*)	Master thesis			Code	614522025
Study programme	Mestrado Universitario en Bioinformática para Ciencias da Saúde
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	2nd four-month period	Second	Obligatory	12
Language	Spanish Galician English
Teaching method	Face-to-face
Prerequisites
Department	Bioloxía Ciencias da Computación e Tecnoloxías da Información Enxeñaría de Computadores Fisioterapia, Medicina e Ciencias Biomédicas
Coordinador			E-mail
Lecturers	Bolón Canedo, Verónica González Domínguez, Jorge Ladra González, Susana Martin Santamaria, Maria Jose Martinez Lage, Andres Munteanu , Cristian Robert Novo Bujan, Jorge Ortega Hortas, Marcos Parapar López, Javier Pereira Loureiro, Javier Rey Expósito, Roberto Rivadulla Fernandez, Juan Casto		E-mail	veronica.bolon@udc.es jorge.gonzalezd@udc.es susana.ladra@udc.es maria.martin.santamaria@udc.es andres.martinez@udc.es c.munteanu@udc.es j.novo@udc.es m.ortega@udc.es javier.parapar@udc.es javier.pereira@udc.es roberto.rey.exposito@udc.es casto.rivadulla@udc.es
Web	http://www.master.bioinformatica.udc.es
General description	The Master's Thesis is an original exercise to be done individually, consisting of a comprehensive project in the field of bioinformatics from a technological perspective or from the life sciences or health. Professional or researcher in which the competences of the degree are synthesized, and that to overcome it will be presented and defended in front of a university court, when they have overcome the other credits of the degree.
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.