Identifying Data					2022/23
Subject (*)	Master Thesis			Code	614493131
Study programme	Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	2nd four-month period	Second	Obligatory	15
Language
Teaching method	Face-to-face
Prerequisites
Department	Bioloxía Enxeñaría Civil Matemáticas
Coordinador			E-mail
Lecturers	Aneiros Perez, German Naya Fernandez, Salvador Oviedo de la Fuente, Manuel Tarrio Saavedra, Javier Vila Sanjurjo, Antón Vilar Fernandez, Jose Antonio Vilar Fernandez, Juan Manuel		E-mail	german.aneiros@udc.es salvador.naya@udc.es manuel.oviedo@udc.es javier.tarrio@udc.es anton.vila@udc.es jose.vilarf@udc.es juan.vilar@udc.es
Web
General description
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.