Environmental Data Analysis and Simulation
Code
10365
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Ciências e Engenharia do Ambiente
Credits
6.0
Teacher in charge
António da Nóbrega de Sousa da Câmara, Francisco Manuel Freire Cardoso Ferreira
Weekly hours
5
Total hours
90
Teaching language
Português
Objectives
The goals of Environmental Data Analysis and Simulation are the following:
- Help structure the definition of environmental problems;
- Contribute for its solution conceptualizing simulation, optimization and decision models;
- Implement solutions using computational tools;
- Present solutions using animation and visualization methods.
Prerequisites
None
Subject matter
- Introduction
- Data Collection - Sampling
- Data collection - sampling, spatial and temporal correlation
- Data visualization
- Processing of data in Excel and databases
- Linear Regression
- Analysis of variance
- Principal component analysis and time series
- Diagrams and causal modeling
- Basics of differential equations and application of the Runge-Kutta
- Network management
- Individual interaction and discussions with students
- Integrated approach to environmental problems
Bibliography
- Antonio Camara, Environmental Systems, Oxford University Press, New York, 2002
http://adsa2012.wordpress.com
- Afonso A., Nunes C., 2010. Estatística, Probabilidades: Aplicações e Soluções. Escolar Editora.
- Berthouex, P. M. and L.C. Brown, 1994. Statistics for Environmental Engineers, Lewis Publishers, Boca Raton, 335 pp.
- Gilbert, R.O., 1987. Statistical Methods for Environmental Pollution Monitoring, Van Nostrand Reinhold, New York.
- Montgomery, D.C. and Runger, G. C., 2002. Applied Statistics and Probability for Engineers, 3rd edition, John Wiley & Sons Inc., New York, 720 pp.
- Marôco, J., 2010. Análise Estatística com o PASW (ex-SPSS), Report Number
- Moore, D.S. and G.P. McCabe, 2002. Introduction to the Practice of Statistics, 4th edition, W.H. Freeman and Company, New York, 828 pp.
Teaching method
Teaching is based on an immersion method where homeworks and projects are essential to complement classroom activity
Evaluation method
The evaluation is based on 7 homeworks (60%) and 2 individual projects (40%)