Description: Most environmental data involve a large degree of complexity and uncertainty. Environmental data analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This course has an impressive coverage of the scope. Main techniques described in this course include models for linear and nonlinear environmental systems, statistical & numerical methods and data envelopment analysis.
These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making.
This course explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and that is essential to researchers and advanced students in science and engineering. The course also will include analyzing real life environmental data using the SPSS “Statistical Packages for Social Sciences)” as an integrated computer packages for data entry and data analysis. SPSS has become a powerful tool for data treatment because it contains almost all the statistical tests, and is compatible with the most common computer packages.