Content, progress and pedagogy of the
module
Students who complete the module will acquire the following
knowledge, skills and competencies:
Learning objectives
Knowledge
- the role of geoinformation in e-Gov
- spatial data infrastructure (SDI),standardisation of geographic
information according to ISO, Open Geospatial Consortium, and
INSPIRE
- the role of crowd sourcing in data collection (Volunteered
Geographic Information (VGI), Citizen Science, and PPGIS)
- available data sources like Copernicus and various geoportals
like the Danish Data Distribution portal
- remote sensing using satellites, UAV (unmanned aerial vehicles)
and laser scanning systems (aerial and land based)
- modern methods for distributing geospatial information
- handling and storing geospatial information
- the use of modern data acquisition methods for developing
applications in smart cities, precision farming, and environmental
monitoring
Skills
- being able to compare and assess different data acquisition
technologies.
- being able to understand the principles of handling huge
amounts of geographic information (Big Data)
- being able to understand the importance of standardisation and
data quality, including the use of metadata
- being able to understand the importance of geographic
information in solving societal challenges
Competences
- in advising on the selection of appropriate data acquisition
methods for specific applications
- in advising on the use of different data handling
methods
Type of instruction
Lectures, workshops, seminars, assignments, presentations.
Exam
Exams
Name of exam | Modern Data Acquisition Methods |
Type of exam | Written or oral exam |
ECTS | 5 |
Permitted aids | |
Assessment | Passed/Not Passed |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |