Identifying Data					2020/21
Subject (*)	Analysis Technics and Data Modelling for Efficiency			Code	770523021
Study programme	Mestrado Universitario en Eficiencia e Aproveitamento Enerxético
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	2nd four-month period	First	Optional	3
Language	Spanish Galician
Teaching method	Face-to-face
Prerequisites
Department	Ciencias da Computación e Tecnoloxías da Información Computación Matemáticas
Coordinador	Fontenla Romero, Oscar		E-mail	oscar.fontenla@udc.es
Lecturers	Fontenla Romero, Oscar Tarrio Saavedra, Javier		E-mail	oscar.fontenla@udc.es javier.tarrio@udc.es
Web	http://moodle.udc.es
General description	The main objective of this course is that students learn the fundamental concepts and the main models of data mining, both from a standpoint of machine learning and statistical, and their application in the field of energy efficiency.
Contingency plan	1. Modifications to the contents 2. Methodologies *Teaching methodologies that are maintained *Teaching methodologies that are modified 3. Mechanisms for personalized attention to students 4. Modifications in the evaluation *Evaluation observations: 5. Modifications to the bibliography or webgraphy
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.