Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Students who complete the module will acquire the following knowledge, skills and competencies:

Learning objectives

Knowledge

• A wide range of advanced analysis and modelling methods like spatial statistics, raster-based modelling, network analysis, predictive models, multivariate analysis, classification, and hydrological analysis,
• Multi-criteria evaluation and decision support systems.

Skills

• Being able to understand and identify the strengths and weaknesses of the different geoprocessing methods and tools.
• Identifying and applying advanced geocomputational techniques and decision analysis to solve practical problems

Competences

• Having the ability to design and develop decision support systems from identifying appropriate data and tools to present the results to the decision makers and the public

Type of instruction

Combined lectures and exercises.

Exam

Exams