The course begins with the review of the capabilities of existing GIS, and then focuses on how to formulate relevant paths and flow problems, i.e., the shortest path problem, the maximum flow problem, and the minimum cost flow problem, and how to solve them algorithmically. Examples will be introduced and discussed in terms of their applications, complexities, and possible solution methods.
FAG3103 Network Analysis 7.5 credits
Information per course offering
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Course syllabus as PDF
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Course syllabus FAG3103 (Spring 2019–)Content and learning outcomes
Course contents
Intended learning outcomes
Through reading assignments, lectures, seminars, and laboratory exercises, this course introduces doctoral students to what network or graph-theoretic algorithms are relevant to users of geographic information systems (GIS), how they are implemented in existing GIS, and how and what other algorithms should be incorporated in future GIS. Practical examples will be given to motivate the use of GIS for network analysis and the needs of efficient computational procedures for solving relevant problems.
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
Literature
Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin, Network Flows: Theory, Algorithms, and Applications by, Prentice Hall, 1993.
Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin, Network Flows: Theory, Algorithms, and Applications by, Prentice Hall, 1993.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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
Opportunity to raise an approved grade via renewed examination
Examiner
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.