| Faculty: | Science |
| AAU: | School of the Environment |
| Course Code: | ESCI 3701 |
| Experiential Learning: | Available |
Description
This course will explore several types of advanced spatial models (conceptual, mathematical-statistical, process, and spatial) and how these models are used for decision making in various real-world applications. The modelling approaches that may be explored include: multi-criteria decision analysis, fuzzy logic, network models (routing vs. hydrologic), 3-D and terrain assessment, agent-based modelling and artificial intelligence. These approaches will be applied to both vector and raster formats within a GIS framework. Other topics that will be examined include: model selection, calibration, uncertainty and error identification, sensitivity analysis, and validation procedures. (3 lecture and 2 laboratory hours per week). (Prerequisite: ESCI-2701 and 2711).
This course is also available in the following Sustainability Development Goals (SDGs):