Applied Geoinformatics for Earth Sciences
Syllabus, Master's level, 1GE039
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Earth Science A1N, Geography A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 20 April 2015
- Responsible department
- Department of Earth Sciences
120 credits with minimum 90 credits in Earth Science or Biology alternatively Physics with 30 credits in Earth Science (Geophysics).
Upon completion of the course, the student should be able to
- Manipulate, extract and treat quantitative data from different geodata sources
- Explain the theoretical principles in the analysis and modelling of geographical data
- Develop appropriate work plans for spatial analyses and apply these to issues in the earth sciences
- Interpret and extract information from satellite data for various purposes in the earth sciences
- Formulate, carry out and present an independent earth science - related project using remote sensing and GIS
The course focuses on various aspects of geoinformatics with applications in the earth sciences, such as the acquisition of data from different sources for application in the earth sciences, geographic data quality, simpler morphometric and selection analyses of spatial data, geostatistics and interpolation, spatial regression analyses, the principles of satellite image interpretation, and the presentation of spatial data. A significant part of the course focuses on computer-based applications, which provides a view of the various possibilities and limitations in the use of GIS and remote sensing in physical geography, hydrology and geology.
Teaching is conducted as lectures and exercises. The course contains a problem-oriented project work that is conducted in groups. Project work, exercises and seminars are mandatory. Subject-integrated communications training, including feedback and self-evaluation, are included in the course.
Assessment is divided amongst exercises (3 credits) and project work (2 credits)