Prerequisite/Recommended prerequisite for participation in the module

Having completed the first semester of the Master’s program (cand.geom.) with specialisation in Surveying and Mapping or similar qualifications.

Content, progress and pedagogy of the module

To give the students the opportunity to work with problems related to processing/integrating spatial data.

Students who complete the project module must:

Learning objectives

Knowledge

• be knowledgeable about theories/methods for processing/integrating spatial data.
• be knowledgeable about theories/methods for assessing the quality of spatial data.

Skills

• be able to master theories/methods related to processing/integrating spatial data.
• be able to evaluate theories/methods related to processing/integrating spatial data.
• be able to identify problems related to processing/integrating spatial data.
• be able to assess/analyse problems related to processing/integrating spatial data.
• be able to suggest solutions to problems related to processing/integrating spatial data.
• be able to assess the quality of the suggested solutions.
• be able to assess the quality of spatial data coming from various sources.
• be able to communicate/discuss problems related to processing/integrating spatial data with both peers and non-specialists.
• be able to give advice regarding problems related to processing/integrating spatial data.

Competences

• be able to master general skills required to solve typical data processing/integrating tasks.

Type of instruction

Project work.

Exam

Exams

Name of exam	Sensor and Data Integration
Type of exam	Oral exam based on a project
ECTS	20
Permitted aids
Assessment	7-point grading scale
Type of grading	External examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures