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This course aims at
providing an in depth account of the use of GIS and RS as valuable resources
for environmental change monitoring. Learners will be familiarized with
concepts, techniques, algorithms, and tools to use in their professional
endeavour for handling issues related to environmental management, e.g.,
detecting and measuring environmental variations.
Students will also gain hands-on experience in
designing field or laboratory based research projects to monitor environmental
systems, making use of appropriate field, laboratory and measurement
course is targeted to students of environmental studies, physical geography,
engineering, landscape ecology, and sustainability of both undergraduate and
graduate levels. It aims at providing an overview of EIA using RS and GIS with
organizational and technical components. Students will explore theoretical and
practical concepts of EIA. The
course starts with introduction to GIS and RS for spatial data harmonization
and analysis, and then focus on the applications in Environmental Impact Assessment.
This course aims at providing an overview of the organizational and technical components of Spatial Data Infrastructures and Technologies (SDI-T). Students will explore the theoretical and practical concepts of SDI-T. It includes an introduction to Geographical Information Systems and Remote Sensing to harmonize the terminology and concepts related to spatial data, its analysis and modeling, and spatial databases.
Learners will be presented the concept of SDI-T, data issues, web services, and SDI business analysis and management.
GIS and Distributed Hydrological Modelling GIS and Distributed Hydrological Modelling (7.5 Higher Education Credits)
This is the first course in GIS. This Internet-based distance course is a balanced mix of theoretical foundation and practical applications dealing with cartography and map projections, raster/vector data models and analyses, databases and attributes, data capture, and visualization. By completing the course the student will
- have a basic, theoretical and practical understanding of GIS, and
- be able to work independently with various types of geographical data in GIS.
This course focus on statistics in geography from descriptive statistics to different statistical analysis tools such as analysis of variance, correlation and regressions.
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