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.
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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.
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