Mapping Technologies and Data Fusion

2019/2020

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 thorough knowledge of methods for relating spatial coordinate systems and for defining map projections. To give the students thorough knowledge of various technologies and theories/methods related to mapping and data fusion.

Students who complete the course module must:

Learning objectives

Knowledge

  • be knowledgeable about theories/methods concerning construction of map projections and conversions between spatial coordinate systems
  • be knowledgeable about various mapping technologies like remote sensing and laser scanning
  • be knowledgeable about theories/methods for fusing mapping related data sets
  • be knowledgeable about selected theories/methods for analysing mapping related data sets

Skills

  • be able to master and evaluate the use of spatial coordinate systems and map projections
  • be able to master and evaluate relevant theories/methods in relation to data fusion
  • be able to master and evaluate relevant theories/methods in relation to various mapping technologies
  • be able to master and evaluate selected data analysis techniques

Competences

  • be able to master general skills required to solve typical tasks in relation to defining and using map projection and spatial coordinate system
  • be able to master general skills required to solve typical tasks related to data fusion and mapping

Type of instruction

The module consists of a number of educational elements that support the achievement of the module objective.

Exam

Exams

Name of examMapping Technologies and Data Fusion
Type of exam
Written or oral exam
ECTS5
Permitted aids
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleKortlægning og data fusion
Module codePGLLANK15202
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Planning and Surveying
DepartmentDepartment of Planning
FacultyTechnical Faculty of IT and Design