| Competences |
| Type A | Code | Competences Specific |
| Professional | ||
| AP1 | A1.1. Formulate strategies to collate data for the design and application of conceptual and calculation models aimed at improving understanding of complex systems of engineering and environmental management. | |
| AP2 | A1.2. Analyze the dynamic interactions in complex systems in the environment and general surroundings. | |
| AP3 | A1.3. Provide scientific evaluations for developing policies and taking decisions that are sustainable and environmentally friendly. | |
| Type B | Code | Competences Transversal |
| Professional | ||
| BP1 | B1.1. Communicate and discuss proposals and conclusions in a clear and unambiguous manner in specialized and non-specialized multilingual forums. | |
| BP2 | B1.2. Adapt to a changing environment. | |
| BP3 | B2.1. Influence and guide others to improve performance. | |
| BP4 | B2.2. Provide guidelines to define and achieve objectives. | |
| BP6 | B3.1. Work in a team with responsibilities shared among multidisciplinary, multilingual and multicultural teams. | |
| BP7 | B4.1. Show commitments to an attitude of continuous learning | |
| BP8 | B4.2. Learn autonomously and with initiative. | |
| BP9 | B5.1. Work autonomously, responsibly and with initiative in a research and innovation context. | |
| Type C | Code | Competences Nuclear |
| Common | ||
| CC1 | Have an intermediate mastery of a foreign language, preferably English | |
| CC3 | Be able to manage information and knowledge | |
| CC4 | Be able to express themselves correctly both orally and in writing in one of the two official languages of the URV | |
| CC5 | Be committed to ethics and social responsibility as citizens and professionals | |
| CC6 | Be able to define and develop their academic and professional project | |
| Learning aims |
| Objectives | Competences | ||
| Apply environmental data processing techniques. Representing data graphically. | AP1 AP2 AP3 |
BP1 BP2 BP3 BP4 BP6 BP7 BP8 BP9 |
CC1 CC3 CC4 CC5 CC6 |
| Contents |
| Topic | Sub-topic |
| Processing and statistical analysis of data in Environmental Engineering. | |
| Application of GIS to data processing. |
| Planning |
| Methodologies :: Tests | |||||||||
| Competences | (*) Class hours | Hours outside the classroom | (**) Total hours | ||||||
| Introductory activities |
|
0.5 | 0 | 0.5 | |||||
| Lecture |
|
9 | 13.5 | 22.5 | |||||
| Problem solving, classroom exercises |
|
10 | 15 | 25 | |||||
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
10 | 15 | 25 | |||||
| Personal tuition |
|
0 | 1 | 1 | |||||
| Practical tests |
|
1 | 0 | 1 | |||||
| (*) 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 |
| 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 doing joint exercises in classroom. Includes discussions in group or individually to clarify concepts and methodologies. It includes the work individual student. |
| Problem solving, classroom exercises | Students solve problems under the supervision of teachers, individually or in groups. It includes the work individual student. |
| Practicals using information and communication technologies (ICTs) in computer rooms | Realization of practices in group to transfer the theoretical knowledge to informatic tools and to introduce the knowledge and use of specific software. It includes the work individual student. |
| Personal tuition |
| Personalized attention |
|
|
| Assessment |
| Description | Weight | ||
| Practicals using information and communication technologies (ICTs) in computer rooms | Realization of exercises done individually or in groups using the informatic tools. | 70% | |
| Practical tests | Individual tests where there are problems of practical application of content covered in the course. | 30% | |
| Other comments and second exam session | |||
| Sources of information |
| Basic |
Josep Maria Mateo, Apuntes de Estadística, ,
Burrough, P.A, Principales of geographical information system forland resources assessment, Oxford Unive, 1988
Santos Preciado, J.M.; Cocero Matesanz, D., Los SIG raster en el campo medioambiental y territorial. Ejercicios prácticos con IDRISI y MiraMon, UNED, 2009 |
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| Complementary | |||||||||
| 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.