Environmental Modelling (250461) – Course 2024/25 PDF
Syllabus
Learning Objectives
Specialization subject in which knowledge on specific competences is intensified. Knowledge and skills at specialization level that permit the development and application of techniques and methodologies at advanced level. Contents of specialization at master level related to research or innovation in the field of engineering. Specialization course in Environmental Engineering and Sustainability in which knowledge in specific competences of the Master in Road, Channel and Port Engineering is intensified. It has knowledge at the level of specialization in environmental modeling that should allow developing and applying advanced level techniques and methodologies. Knows contents of specialization at master level in the area of environmental modeling and relates them to innovation in the field of engineering. Acquires capabilities to integrate environmental requirements in the practice of engineering and in the process of technological and social innovation. It models complex environmental processes in which infrastructures or services intervene from the analysis of observed data of environmental variables.
Competencies
Especific
The ability to plan, evaluate and regulate the use of surface water and groundwater resources.
Knowledge of and the ability to understand dynamic phenomena of the coastal ocean and atmosphere and respond to problems encountered in port and coastal areas, including the environmental impact of coastal interventions. The ability to analyse and plan maritime works.
Transversal
ENTREPRENEURSHIP AND INNOVATION: Being aware of and understanding the mechanisms on which scientific research is based, as well as the mechanisms and instruments for transferring results among socio-economic agents involved in research, development and innovation processes.
SUSTAINABILITY AND SOCIAL COMMITMENT: Being aware of and understanding the complexity of the economic and social phenomena typical of a welfare society, and being able to relate social welfare to globalisation and sustainability and to use technique, technology, economics and sustainability in a balanced and compatible manner.
TEAMWORK: Being able to work in an interdisciplinary team, whether as a member or as a leader, with the aim of contributing to projects pragmatically and responsibly and making commitments in view of the resources that are available.
Total hours of student work
| Hours | Percentage | |||
|---|---|---|---|---|
| Supervised Learning | Large group | 25.5h | 56.67 % | |
| Medium group | 9.8h | 21.67 % | ||
| Laboratory classes | 9.8h | 21.67 % | ||
| Self Study | 80h | |||
Teaching Methodology
The subject is carried out in sessions of 3h, usually divided into 2 parts: One of theory and one of practice. Although most of the sessions will be given in the language indicated, sessions supported by other occasional guest experts may be held in other languages.
Grading Rules
The evaluation calendar and grading rules will be approved before the start of the course.
The grade of the subject is divided into 30% of course exercises, 30% of the analysis of scientific paper and 40% of the final control.
Test Rules
If an activity is not carried out according to the guidelines, it will be marked as zero.
Office Hours
Thursday from 2 pm-4pm.
Bibliography
Basic
- Holzbecher, E. Environmental modeling: using MATLAB. 2nd ed. Berlin ; New York: Springer, 2012. ISBN 9783642220425.
- Wainwright, J.; Mulligan, M. Environmental modelling: finding simplicity in complexity. 2nd ed. Chichester, UK: Wiley, 2013. ISBN 9781118366103.
- Smith, J.; Smith, P. Introduction to environmental modelling. Oxford: Oxford University Press, 2007. ISBN 9780199272068.
Complementary
- Kottegoda, N.T.; Rosso, R. Applied statistics for civil and environmental engineers. Second Edition. Oxford: Wiley?Blackwell, 2008. ISBN 978-1-4051-7917-1.
- Morgan, R.K. Environmental impact assessment: a methodological perspective. Dordrecht: Kluwer Acabemic, 1998. ISBN 0412730006.
- Ross, S.M. Introduction to probability and statistics for engineers and scientists. 5th ed. Oxford: Academic Press, 2014. ISBN 9780123948113.
- Berthouex, P.M.; Brown, L.C. Statistics for environmental engineers. 2nd ed. Boca Raton: Lewis, 2002. ISBN 1566705924.