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Geographical Information Systems and ICT


Status Archive
School Computer and Information Science (CIS)
Division GIS
Owner Åke Sivertun

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Course plan

No of lectures 5

The goal with the course is that the students shall be able to evaluate the different data sources that are available when designing and implementing a spatial or geographic information system. They shall further be able to chose relevant methods for indexing, storing and sharing the data as well as select suitable methods for analysis and mediation of the result. ICT - Information and Communication Technologies are essential for several steps in the work with spatial information. The understanding of those technologies and their implementation shall also be demonstrated during the course.

Recommended for

PhD (or Master students) with an interest for spatial/geographical information systems, sensors for spatial information and sensor data fusion as well as computation and application of such data in a wide range of disciplines besides computer science.

The course was last given



The knowledge and skills shall be demonstrated through a test of the lexical knowledge, solving practical tasks and presenting a written work that proofs that the student is able to identify a problem and suggest a solution for solving this with help of GIS and ICT /or presenting evidence why it is not suitable.


Master or PhD level with reasonable skills in computation ans some experience in writing an individual report


The course consist of lectures, exercises and seminars.


Data capture, different sensors for spatial data and for localisation of data. GPS and other methods for localision. Data bases and representation of spatially distributed data. Sensor fusion and sensor-data fusion. Models and algorithms for analysis of spatial data and information. Cooperative work and sharing data. GIS and ICT for descision support.


LAURINI, Robert and THOMPSON, Derek (1992) Fundamentals of spatial information systems :A.P.I.C. Series, No. 37; Academic Press; London, UK;672 pp. ;ISBN: 0-12-438380-7
Compendium and articles


1) Introduction, Data sources
2) Sensors & Data fusion


Associat professor Åke Sivertun


Written exam
Solving exercises
Written report and opposition




Timetable PhD course in GISc , Autumn 2010

Week Day Time Room Lecture Notes
39/2010 Sep 27 Mon 10-12 Herbert Simon Åke Sivertun Introduction1
13-16 Lecture 1
41/2010 Oct 11 Mon 10-12 Herbert Simon Åke Sivertun Lecture 2
13-16 Lab
43/2010 Oct 25 Mon 10-12 Herbert Simon Åke Sivertun Lecture 3/4
13-16 Lecture 5
46/2010 Nov 15 Mon 10-12 John von Neuman Åke Sivertun Seminarium
13-16 Written Exam
49/2010 Dec 6 Mon 10-12 Herbert Simon Åke Sivertun Draft article
3/2011 Jan 17 Mon 10-12 Herbert Simon Åke Sivertun Final seminar

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