|Module bestaat uit de onderwijseenheden
Participants in the minor 'Adapting to Climate Change with Spatial Engineering' can choose one of three core course units:
|Spatial Information Science (SIS)
|Spatial Planning for Governance (SPG)
|Technical Engineering (TE)
The mandatory Skills course completes the 15 EC module:
This minor is a full time online minor.
Spatial Information Science (SIS)
Spatial Planning for Governance (SPG)
- Conceptualize and represent the real world in digital geospatial data.
- Identify and apply methods for the exploration, analysis, integration, synthesis and presentation of digital spatial data and imagery in a geographic information system (GIS).
- Apply basic statistical methods to geographic data to gain insights.
After the course the student is able to use spatial concepts, instruments and measures in a given spatial planning situation;
Technical Environmental Engineering (TEE), modelling the processes in system Earth
- Theory and context
- Describe the evolution of spatial planning theory and practice and how these relate to notions of sustainable development and resilience.
- Explain the political, legal and institutional context of a spatial planning situation.
- Analysis of a planning situation
- Analyse a given spatial planning problem/situation, identifying key stakeholders and their interests.
- Describe the trade-offs between competing interests in a given spatial planning situation.
- Advise on a planning situation
- Develop and present a concept plan for addressing a given spatial planning situation.
- Recommend evaluation and future needs
- Elaborate on ways to measures to guide, monitor and evaluate the realization of spatial plans.
- Discuss how spatial analysis can assist in anticipating future needs and emerging issues in society.
Skills for M-SE
- Describe cycles of nutrients, water and carbon and underlying principles such as conservation of mass and energy (Process thinking and conceptualization).
- Apply schematizing complex systems using existing techniques to capture them in equations (System thinking and model conceptualization).
- Apply probability density functions and concepts of correlations and regressions (Stochasticity) to estimations of relevant parameters of earth system processes.
- Apply parameter uncertainty like variability, RMSE and R2, to make interpretations of outputs of models that simulate earth system processes (Parameter uncertainty).
- Identify and describe gaps in his/her knowledge.
- Plan, execute and reflect on the learning process needed to bridge the gap.
- Integrate knowledge formulating an actionable challenge using the CBL for M-SE approach