IDENTIFYING DATA 2016_17
Subject (*) ANALYTICAL TOOLS APPLIED TO ENVIRONMENTAL ENGINEERING Code 20735202
Study programme
Environmental Engineering and Sustainable Energy (2016)
Cycle 2nd
Descriptors Credits Type Year Period
3 Optional 1Q
Language
Anglès
Department Chemical Engineering
Geography
Coordinator
FERNÁNDEZ SABATER, ALBERTO
E-mail alberto.fernandez@urv.cat
Lecturers
FERNÁNDEZ SABATER, ALBERTO
Web
General description and relevant information Students will learn to treat scientific data in a statistically reliable way by applying basic and multivariate statistics, and to use tools applicable to the environment such as GIS and modeling.

Competences
Type A Code Competences Specific
 A1.2 Analyse the dynamic interactions in complex environmental systems.
 A1.4 Understand and apply tools and strategies for the management and/or design of processes and products in the ambit of environmental and energy sustainability.
 A1.5 Formulate the strategies needed to collect data for the design and application of conceptual and calculation modelsz in order to better understand complex systems in engineering and environmental and energy management.
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1.2 Use the appropriate ICT tools for understanding, evaluating and modelling georeferenced environmental situations.
 A1.4 Propose local solutions in accordance with the training received.
 A1.5 Understand and apply environmental data handling techniques.
Type B Code Learning outcomes
Type C Code Learning outcomes

Contents
Topic Sub-topic
1. Processing and statistical analysis of data in Environmental Engineering. 1.1. Basic statistical inference: confidence intervals and hypothesis testing.
1.2. Goodness-of-fit tests.
1.3. Independence test for two categorical variables.
1.4. Relationships between variables: ANOVA, ANCOVA, simple and multiple regression, discriminant analysis.
1.5. Multivariate interdependence techniques: principal component analysis and factorial analysis.
1.6. Multivariate grouping techniques: hierarchical and non-hierarchical clustering.
2. Geographic Information Systems. 2.1. Introduction: definition, physical and logical components of a GIS. Aplications.
2.2. Practical activities: introduction to GIS environment, composition of maps, search and selection operations, superposition operations, proximity operations, digitization, and data export.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
1 1.5 2.5
Lecture
A1.4
5 7.5 12.5
Problem solving, classroom exercises
A1.5
11 16.5 27.5
Practicals using information and communication technologies (ICTs) in computer rooms
A1.2
A1.4
8 12 20
Assignments
A1.4
A1.5
4 6 10
Personal tuition
1 1.5 2.5
 
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Introduction of the course explaining the contents, the objectives to evaluate, the methodology used and the method of evaluation.
Lecture Combination of lectures and case studies by introducing basic concepts, the discussion of examples and, at the same time, doing exercises in classroom. Includes discussions in group or individually to clarify concepts and methodologies. It includes the individual work of the students.
Problem solving, classroom exercises Students solve problems under the supervision of teachers, individually or in groups. It includes the individual work of students.
Practicals using information and communication technologies (ICTs) in computer rooms Practical work in group to apply the theoretical knowledge to computer tools and to introduce the knowledge and use of specific software. It includes the individual work of students.
Assignments Students have to do practical assignments in which they must demonstrate the acquirement of the contents of the program.
Personal tuition In person and on-line.

Personalized attention
Description
Advice for students to develop their work in the subject. This advice may be given in person, at the offices of the professors who teach the subject and during the office hours available for each teacher, and/or by e-mail where the teacher will answer doubts sent by the students.

Assessment
Methodologies Competences Description Weight        
Practicals using information and communication technologies (ICTs) in computer rooms
A1.2
A1.4
Exercises solved individually or in groups using computer tools. 70%
Assignments
A1.4
A1.5
Assignments consisting in the practical application of content covered during the course. 30%
Others  
 
Other comments and second exam session

Sources of information

Basic Josep Maria Mateo, Applied Statistics for Environmental Engineering, ,
P.A. Burrough, Principles of geographical information systems for land resources assessment, Oxford University press, 1986
J.M. Santos Preciado; D. Cocero Matesanz, Los SIG raster en el campo medioambiental y territorial. Ejercicios prácticos con IDRISI y MiraMon, UNED, 2009

Complementary

Recommendations


 
Other comments
The work to do in class requires the use of specific software. For better use of the course, it is recommended that students bring their own laptop.
(*)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.