Educational guide
IDENTIFYING DATA 2023_24
Subject PLANNING ENVIRONMENTAL STUDIES Code 00207035
Study programme
0207 - GRADO EN CIENCIAS AMBIENTALES
Descriptors Credit. Type Year Period
3 Compulsory Fourth First
Language
Castellano
Prerequisites
Department BIODIVERSIDAD Y GEST.AMBIENTAL
Coordinador
BLANCO LANZA , SAUL
E-mail sblal@unileon.es
mrtarg@unileon.es
Lecturers
BLANCO LANZA , SAUL
TÁRREGA GARCÍA-MARES , MARÍA REYES
Web http://
General description The ecological science. The biosphere: The environmental conditions for the life. The ecosystems. Metabolic and cultural consumption. Environmental degradation. The concept, origin and evolution of the science, technology and environmental movement. The s
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente BIODIVERSIDAD Y GEST.AMBIENTAL FERNANDEZ ALAEZ , CAMINO
Secretario BIODIVERSIDAD Y GEST.AMBIENTAL MARCOS PORRAS , ELENA MARIA
Vocal BIODIVERSIDAD Y GEST.AMBIENTAL VALBUENA RELEA , MARIA LUZ
Tribunal suplente
Cargo Departamento Profesor
Presidente BIODIVERSIDAD Y GEST.AMBIENTAL BECARES MANTECON , ELOY
Secretario BIODIVERSIDAD Y GEST.AMBIENTAL GARCIA CRIADO , FRANCISCO
Vocal BIODIVERSIDAD Y GEST.AMBIENTAL ANSOLA GONZALEZ , GEMMA

Competencias
Code  
A14011
A14012
A14014
A14015
A14017
B3730
B3731
B3751
B3755
B3757
B3758
B3759
B3760
B3763

Learning aims
Competences
B3730
B3731
A14014
A14015
A14017
A14011
A14012
B3751
B3757
B3758
B3759
B3760
B3763
B3755

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Assignments 0 35 35
 
Laboratory practicals 10 0 10
Tutorship of group 10 0 10
 
Lecture 18 0 18
 
Mixed tests 2 0 2
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Assignments The students will be responsible for elaborating an environmental planning work in teams according to the criteria and methods explained in the theoretical sessions. Although the teacher will control the functioning of the work groups, the general objective of this training activity is that the student manages the bibliographic resources and other sources of information and acquires experience in the public exposition in front of the classmates. The work will be presented in oral and written form.
Laboratory practicals 1. Sampling problems. Influence of sampling size. Concepts of precision and accuracy. Application of simulation programs. Laboratory-Computer (2 h). 2. Comparative analysis of different types of experimental designs and sampling designs. Design of an experiment (Group work) (I) Approach. Laboratory (2 h). 3. Design of an experiment (Group work) (II) Presentation and discussion. Laboratory (2 h). 4. Comparative analysis of different multivariate techniques for the treatment of environmental data. Computer (2 h). 5. Interpretation of the results obtained in the application of multivariate techniques to environmental data. Laboratory (2 h).
Tutorship of group The small group tutorials will try to solve questions that will serve to expand the contents presented in the lectures, addressing aspects that contribute to a more complete training of the student.
Lecture The exposition of the contents of the topics that integrate the subject will be approached in the following way:1. The subject is placed in the global context of the course, stating the specific objectives to be achieved and highlighting the bibliographical sources used. 2. Development by means of master class of the contents properly structured, supported by the teaching material that will be incorporated, with sufficient time before the exposition of the lesson in the Moodle platform. This will facilitate the participative activity of the students, frequently looking for the student's opinion on the development of the concepts and their applicability. Summary by way of recapitulation of the fundamental contents of the subject, breaking down, where appropriate, the interrelationships of the contents transmitted in previous subjects and with those that will be taught later.

Personalized attention
 
Lecture
Assignments
Tutorship of group
Description
Individual tutorials will be held upon request by the student.
In addition, virtual tutorials can be carried out through e-mail.

Assessment
  Description Qualification
Lecture 60%
Assignments This section of training activities is mandatory.
The structure and contents of the group work, its originality, its written presentation and its oral presentation and defense will be evaluated. The use of bibliographic sources and the active participation in the elaboration of the work will also be considered. Peer assessment will also be introduced in relation to the clarity in the exposition of the contents and the pedagogical approach. 		40%
Others Attendance to laboratory practices 0%
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic

Agresti, A., 2003. Categorical Data Analysis. John Wiley & Sons.
Allman, E. S., & J. A. Rhodes, 2004. Mathematical Models in Biology: An Introduction. Cambridge University Press. 
Arias, M. R. M., 2008. El análisis multivariante en la investigación científica. Editorial La Muralla, S.A. 
Bramer, M., 2013. Principles of Data Mining. Springer. 
Chambers, J. M., 1983. Graphical methods for data analysis. Wadsworth International Group. 
Dytham, C., 2011. Choosing and Using Statistics: A Biologist’s Guide. John Wiley & Sons. 
Gregoire, T. G., & Valentine, H. T. (2007). Sampling strategies for natural resources and the environment. Chapman and Hall/CRC.
Härdle, W. K., & L. Simar, 2012. Applied Multivariate Statistical Analysis. Springer. 
Hill, T., & P. Lewicki, 2006. Statistics: Methods and Applications : a Comprehensive Reference for Science, Industry, and Data Mining. StatSoft. 
Huck, S. W., 2009. Statistical Misconceptions. Routledge. 
Jaisingh, L., 2005. Statistics for the Utterly Confused, 2nd edition. Mcgraw-hill. 
Krebs, C. J. (1999). Ecological Methodology. Addison.
Kuehl, R. O., 2001. Diseño de experimentos: principios estadísticos de diseño y análisis de investigación. Thomson Learning. 
Legendre, P., & L. Legendre, 2012. Numerical Ecology. Elsevier. 
Ludwig, J. A., 1988. Statistical Ecology: A Primer in Methods and Computing. John Wiley & Sons. 
Montgomery, D. C., 2008. Design and Analysis of Experiments. John Wiley & Sons. 
Sá, J. P. M. de, 2007. Applied Statistics Using SPSS, STATISTICA, MATLAB and R. Springer.
Southwood, T. R. E., & Henderson, P. A. (2009). Ecological methods. John Wiley & Sons.
Sutherland, W. J. (Ed.). (2006). Ecological census techniques: a handbook. Cambridge university press.
Wheater, C. P., Bell, J. R., & Cook, P. A. (2020). Practical field ecology: a project guide. John Wiley & Sons.
Complementary


Recommendations


Subjects that it is recommended to have taken before
POPULATION ECOLOGY / 00207012
STATISTICSS AND COMPUTATIONAL PROGRAMS / 00207019