Identifying Data					2019/20
Subject (*)	Xeoestatística Aplicada e Modelos Hidrolóxicos			Code	632508009
Study programme	Mestrado Universitario en Investigación en Enxeñaría Civil (2013)
Descriptors	Cycle	Period	Year	Type	Credits
	Official Master's Degree	Yearly	First	Optional	6
Language	Spanish
Teaching method	Face-to-face
Prerequisites
Department	Enxeñaría Civil Enxeñaría Naval e Industrial
Coordinador			E-mail
Lecturers			E-mail
Web
General description

Study programme competencies Code Study programme competences

Learning aims

Learning outcomes	Study programme competences

Contents

Topic	Sub-topic

Planning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Supervised projects		12	2	14
Document analysis		2	2	4
Oral presentation		5	1.5	6.5
Collaborative learning		28	2	30
Personalized attention		10	0	10
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies	Description
Supervised projects	Se valorarán La realización y presentación de un trabajo personal sobre uno de los temas del curso.
Document analysis	Se valorarán la entrega de las tareas propuestas en clase y la realización y presentación de un trabajo personal sobre uno de los temas del curso
Oral presentation	Se valorará la presentación oral de un trabajo personal sobre uno de los temas del curso.
Collaborative learning	Se valorará la asistencia y participación activa en las clases magistrales y de prácticas

Personalized attention

Methodologies Supervised projects Document analysis Collaborative learning Oral presentation

Description El alumno asistirá a las clases magistrales y realizará prácticas de programas de cálculo numérico de tareas propuestas en clase. Además deberá de realizar y presentar un trabajo personal sobre uno de los temas del curso

Assessment

Methodologies	Competencies	Description	Qualification
Supervised projects			40
Document analysis			10
Collaborative learning			30
Oral presentation			20
Assessment comments

Sources of information

Basic	Armstrong M, (2004). Basic Linear Geostatistics,. Springer
Complementary

Recommendations

Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Modelos Numéricos de Hidrálica e Contaminación de Medios Porosos/632508010

Subjects that continue the syllabus

Other comments

(*)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.