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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
VVT105 - Geographical information systems
Syllabus adopted 2015-02-19 by Head of Programme (or corresponding)
Owner: MPIEE
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Civil and Environmental Engineering
Department: 55 - ARCHITECTURE

Teaching language: English
Open for exchange students
Block schedule: C

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0198 Examination 7,5c Grading: TH   7,5c   19 Mar 2016 am H,  Contact examiner,  25 Aug 2016 pm SB

In programs



Forskare  Jonas Tornberg

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In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

Basic course in geodetic surveying recommended.


To give understanding of and tools for collection, storing, analysis and presentation of geographic information. Understand vector and raster models. Understand sources of errors in geographic information and the importance of data quality.

Learning outcomes (after completion of the course the student should be able to)

After completing the course students should be able to understand basic terminology and key concepts of geographic information and GIS. Understand the structure and properties of different systems and know the different data sources and different forms for the collection, storage, analysis, transmission, validation and output / presentation spatial data. Knowledge about different geographical databases content and accessibility. Know the different data structures for vector data and raster data. Know the different types of modeling and data analysis. · Understand the difference between model and reality. Understand the importance of data quality. Kknow some different techniques for interpolation,and interpretation of data. Manage database searches with SQL Knowledge of geocoding. Using geographic platforms such as ArcGIS, QGIS and FME and independently conduct certain types of analisis..Know some applications of GIS on engineering problems.
Written reports and present the exercises included in the course..


Data collection, storing, managing, analysis, validation and presentation. Geographical Databases. Datastructures for vector, raster and image data. Terrainmodels, network analysis,and  transport problems. Data analysis and data quality. Modelling and interpolation. Practical applications in different topic specific application areas. Features of different GIS-based platforms. Needs and considerations when selecting different geographical information systems and tools.


Lectures, computer based exercises, group assignments and study visits.


An Introduction to Geographical Information Systems by Heywood Cornelius and Carver (4ed)


(Written) examination,and passed group assignments and individually assignments. The two assignments can give total 12 bonus credits to be added to the written exam result.

Published: Wed 26 Feb 2020.