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FAG3102 Computational Methods and Algorithms in GIS 7.5 credits

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Choose semester and course offering

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Application

For course offering

Autumn 2023 Start 30 Oct 2023 programme students

Application code

51080

Headings with content from the Course syllabus FAG3102 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Geographic data modeling. Raster and vector data structures and algorithms. Formulation and solution of Combinatorial optimization problems in GIS.

Intended learning outcomes

The major focus of this course is how to design, implement, and test algorithms for geographic information systems (GIS). Through reading assignments, lectures, seminars, and laboratory exercises, students should gain a good understanding of how GIS data and algorithms are designed, evaluated, and implemented, and also acquire computer programming skills useful to develop/extend GIS software and implement new GIS algorithms.

Literature and preparations

Specific prerequisites

A masters degree in geoinformatics, computer science, operations research, or relevant science and engineering fields. Documented proficiency in English B or equivalent.

Recommended prerequisites

A masters degree in geoinformatics, computer science, operations research, or relevant science and engineering fields. Documented proficiency in English B or equivalent.

Equipment

No information inserted

Literature

C. D. Tomlin, 1990, Geographic Information Systems and Cartographic Modeling, Prentice Hall. Or, C. D. Tomlin, 2012, Geographic Information Systems and Cartographic Modeling, ESRI Press.

M. F. Worboys and M. Duckham, 2004. GIS: A Computing Perspective, 2nd edition. Taylor & Francis.

R. K. Ahuja, T. L. Magnanti, and J. B. Orlin, 1993, Network Flows: Theory, Algorithms, and Applications, Prentice Hall.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • PRO1 - Project assignment, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Takeshi Shirabe

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

ABE/Geoinformatics

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Takeshi Shirabe 08-7906363 shirabe@kth.se

Postgraduate course

Postgraduate courses at ABE/Geoinformatics