GIS III, Data input to GIS
7.5 ECTS creditsThe course provides training in database modelling based on a requirement specification. Students work in groups. On the basis of models, students construct a geographic database for storage of geographic objects. Hands-on computer sessions with specific software are included. The course includes managing data format problems, data in different coordinate systems, and topology requirements for geopraphic objects.
The final storage environment is a database with attributive domains and subtypes created for quality control of database content. Students' various database constructions are evaluated and discussed in final seminars.
Instruction is in the form of lectures, lab work, and supervision.
The final storage environment is a database with attributive domains and subtypes created for quality control of database content. Students' various database constructions are evaluated and discussed in final seminars.
Instruction is in the form of lectures, lab work, and supervision.
Progressive specialisation:
G1F (has less than 60 credits in first鈥恈ycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements
25 ECTS credits completed in the Surveying Technology and Geographical IT Engineering Programme, or 25 ECTS credits completed in the Surveying and Mapping Programme.
4 ECTS credits completed in the course GIS I (7.5 ECTS credits), and 1.5 ECTS credits completed in the course GIS II (7.5 ECTS credits), or equivalent.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Engineering: Surveying Technology and Geographical IT (studied during year 3)
- Programme in Surveying and Mapping (studied during year 3)
More information
Choose occasion
Campus, 50%
Options
- Start Autumn 2024
- Mode of study Campus
- Language Swedish and English
- Course code NGGB44
- Application code KAU-43539
- Study pace 50% (Day)
- Study period week 46鈥3
- Schedule
- Introductory Information
- Reading list