Level of Study
Semester of Instruction
Objectives and Content
The aim of this course is to introduce the student to Geographical Information Systems through a theoretical and practical approach.
This is an introductory course in GIS as a tool for the analysis of spatial data. Lectures introduce the theoretical aspects; computer labs provide the hands-on experience with professional GIS software.
This study covers topics like the different definitions and understandings of GIS as a tool versus a science, GIS in a historical and future perspective, the different data structures used to represent geographical data and how to secure the quality of such data. Further it focuses on the organisation of geographical data in databases and how to query these, and it presents various types of spatial analyses, modelling and sources of errors in GIS. The principles and applications of remote sensing are presented and an introduction to image processing is given.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- has theoretical knowledge about management and analyses of geographical data in a GIS
- has a broad knowledge about the characteristics, representation and different models of geographical data
- has adequate knowledge about spatial databases
- can explain the principles of remote sensing as a method to collect data, present various applications and has adequate understanding of basic image-processing and ¿analyses
- can give account of various sources of errors in a GIS project
- can give account of the historical development and future perspectives of GIS
- can reflect upon and discuss the different definitions and understandings of GIS as a tool vs. a science.
- can collect, manage and analyse geographical data in a GIS
- can complete all main types of GIS-analyses and combine them in own models (geoprocessing)
- can assess and reflect upon various sources of errors in all steps of a GIS-analysis
- has adequate competence to plan and complete GIS-based analyses.
- works independently with professional GIS software and is able to do theoretically based choices to secure quality of the completed work.
Required Previous Knowledge
GEO110, GEO115 or equivalent knowledge in cartography.
Recommended Previous Knowledge
GEO111, GEO112 and/or 204 (introduction courses in physical geography and/or quantitative method)
Access to the Course
Open to all students at the University of Bergen.
This course has a limited number of places. When registering for the course you apply to be admitted. The registration deadline for GEO215 is Friday in week 34, before the regular deadline. Students who fulfill the prerequisites, are admitted to the course after this priority list:
- Students from the bachelor programme in geography, geography students from the bachelor programme in environment and resource management and geography students from the bachelor programme in development studies.
- Students from the master programme in geography at University of Bergen
- Exchange students from universities who have an Erasmus agreement with the Department of Geography
- Students from other programmes at The University of Bergen
- Exchange students from other universities
Teaching and learning methods
Lectures, computer labs with mandatory exercises
6-8 lectures á 2 hours
1 datalab á 3 hours per week (7-8 datalabs)
Total: 12-16 hours of lectures: 24 hours in computer lab
10-12 weeks in total
Compulsory Assignments and Attendance
2 approved lab reports
Forms of Assessment
Home exam and oral exam. The oral exam may adjust the final grade.
GEO205 (5 ects) and GEO305 (5 ects)
Literature is specified on a separate list. In addition all seminar descriptions and other material provided on Mitt Uib are part of the curriculum.
GEO215 will be evaluated minimum every third semester
Department of Geography
Type of assessment: Home exam and oral exam
- Withdrawal deadline
- Examination system
- Digital exam
Exam part: Home exam
- Submission deadline
- 17.11.2017, 14:00
- Examination system
- Digital exam
Exam part: Oral exam
- Exam period