Prerequisites
None.
Course Objectives
Students will learn the fundamental methods and techniques for generating, structuring, basic analysis and presentation of digital geographical data.
Learning Methods
6-8 hours lectures/exercises per week during the autumn semester.
Course Description
Reference systems, transformations, geometry models, programmes and equipment, data-collection methods, data-exchange, basic analyses, presentation and quality control.
Assessment Methods
Obligatory group home-assignment(s), and individual, written 4-hour final examination. The home assignment(s) count for 40 %, and the final examination counts 60 %. The obligatory home-assignment(s) must be submitted and approved within the deadline before students will be permitted to sit the final examination. Students must receive passing marks on all parts of the assessment.