Course syllabus

Algoritmer i geografisk informationsbehandling
Algorithms in Geographical Information Systems

EXTQ05, 7,5 credits, A (Second Cycle)

Valid for: 2020/21
Decided by: PLED L
Date of Decision: 2020-03-27

General Information

Elective for: L4-gi
Language of instruction: The course will be given in English on demand

Aim

Students who have completed basic courses have studied basic GIS theory and learned to use GIS as a tool for geographic analysis. The aim of this course is to provide basic mathematical and computer science theory required in GIS. This knowledge is necessary for the evaluation of the results of an analysis as well as in the running of advanced analyses where there are no standard tools available.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Contents

The lectures deal with the basic theory of some of the most important algorithms in a GIS. The exercises are mainly directed towards programming these algorithms. The course contains an individual project related to searching in literature databases and summarising research articles.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Assessment takes the form of a written examination, and evaluation of project work. Approved on all exercises and participation on all compulsory activities.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Admission

Admission requirements:

The number of participants is limited to: No
The course overlaps following course/s: GISN07, NGEN06

Reading list

Contact and other information

Course coordinator: Lars Harrie, lars.harrie@nateko.lu.se
Course homepage: http:// web.nateko.lu.se/courses/ngen06/
Further information: The course is a master level course (NGEN06) at the Faculty of Science.