FAG3102 Computational Methods and Algorithms in GIS 7.5 credits

Algoritmer och beräkningsmetoder inom GIS

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.

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

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.

Course Disposition

No information inserted

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

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

Takeshi Shirabe

Further information

Course web

No information inserted

Offered by

ABE/Geoinformatics

Main field of study *

No information inserted

Education cycle *

Third cycle

Add-on studies

No information inserted

Contact

Takeshi Shirabe 08-7906363 shirabe@kth.se

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.

Postgraduate course

Postgraduate courses at ABE/Geoinformatics