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Lund University
Physical Geography: Algorithms and Data Structures in GIS
<p>This course provides the basic mathematical and computer science theory in GIS, which builds on the general theory of GIS. You get the basic theory of storing geographic data in databases and the most important algorithms in a GIS. You will also learn to use GIS as a tool in spatial analysis.</p><p>The aim of thi…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>This course provides the basic mathematical and computer science theory in GIS, which builds on the general theory of GIS. You get the basic theory of storing geographic data in databases and the most important algorithms in a GIS. You will also learn to use GIS as a tool in spatial analysis.</p><p>The aim of this course is to give the underlying mathematical and computer science theory required in GIS. This knowledge is necessary to evaluate the results in an analysis and to carry out more advanced analyses where the tools not are available in a standard GIS program. The lectures treat the basic theory to store geographic data in databases and the most important algorithms in a GIS . Exercises are mainly directed towards to treat geographic databases and to program algorithms. You will develop skills in programming basic algorithms that are used in geographic information processing, structure and solve geometric problems, and communicate with a database designed for geographic data.</p> <p>Course design</p> <p>The teaching consists of lectures, laboratory sessions and project work</p> <p> </p>
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Entry requirements
Admission to the course requires 90 credits of studies in science or engineering, including knowledge equivalent to these two courses: NGEA31, Geographic Information Gystems, basic course, 15 credits NGEN20, Programming for applications in GIS and remote sensing, 15 credits. English 6/B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
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- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.ngen25.14281.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.ngen25.14281.20262
- Offering identity in the source
- e.uoh.lu.ngen25.14281.20262
- Education-form source code
- HS
- Education code in the source
- NGEN25
- Change time according to the source
- 2026-02-03T11:28:50
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.