Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Application
For course offering
Autumn 2023 Start 30 Oct 2023 programme students
Application code
51407
Headings with content from the Course syllabus FAL3300 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course disposition
The aim of the course is to provide knowledge and skills in geographic information technology useful for environmental modelling. After taking the course, the student should be able to:
- Review and assess spatial data and their usefulness for environmental modelling
- Review and assess spatial models and their usefulness for environmental modelling
- Be able to perform spatial modelling within a selected field, including, for example, spatial hydrological or ecological models, and/or decision support models
- Integrate and use such models in their own research (when appropriate), as well as discussing pros and cons with integrating spatial models in their own research
Course contents
Overview of spatial data and geographic information technology, together with basic and advanced models for spatial environmental modelling will be covered by initial lectures.
This will be followed by practical expercises organised so that basic GIS skills can be derived from self-instructed GIS laborations and ESRI Virtual Campus, while more advanced modelling exercises will be led by course assistants, and are taylored for the research needs. In the project work, own models can be applied when relevant. The course project is examined by a report and a seminar.
Intended learning outcomes
The aim of the course is to provide knowledge and skills in geographic information technology useful for environmental modelling. After taking the course, the student should be able to:
- Review and assess spatial data and their usefulness for environmental modelling
- Review and assess spatial models and their usefulness for environmental modelling
- Be able to perform spatial modelling within a selected field, including, for example, spatial hydrological or ecological models, and/or decision support models
- Integrate and use such models in their own research (when appropriate), as well as discussing pros and cons with integrating spatial models in their own research.
Literature and preparations
Specific prerequisites
Master degree or corresponding, in environmental engineering or equivalent.
Recommended prerequisites
Overview of spatial data and geographic information technology, together with basic and advanced models for spatial environmental modelling will be covered by initial lectures.
This will be followed by practical expercises organised so that basic GIS skills can be derived from self-instructed GIS laborations and ESRI Virtual Campus, while more advanced modelling exercises will be led by course assistants, and are taylored for the research needs. In the project work, own models can be applied when relevant. The course project is examined by a report and a seminar.
Equipment
No information inserted
Literature
No information inserted
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
INL1 -
Homework,
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.
The course will be given in cooperation with the Geoinformatics division, KTH. Teachers will be Ulla Mörtberg, Katrin Grunfeld, and other. Examiner is Ulla Mörtberg.
Opportunity to complete the requirements via supplementary examination
The aim of the course is to provide knowledge and skills in geographic information technology useful for environmental modelling. After taking the course, the student should be able to:
- Review and assess spatial data and their usefulness for environmental modelling
- Review and assess spatial models and their usefulness for environmental modelling
- Be able to perform spatial modelling within a selected field, including, for example, spatial hydrological or ecological models, and/or decision support models
- Integrate and use such models in their own research (when appropriate), as well as discussing pros and cons with integrating spatial models in their own research.
Opportunity to raise an approved grade via renewed examination
Overview of spatial data and geographic information technology, together with basic and advanced models for spatial environmental modelling will be covered by initial lectures.
This will be followed by practical expercises organised so that basic GIS skills can be derived from self-instructed GIS laborations and ESRI Virtual Campus, while more advanced modelling exercises will be led by course assistants, and are taylored for the research needs. In the project work, own models can be applied when relevant. The course project is examined by a report and a seminar.
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.
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted
Contact
Ulla Mörtberg (mortberg@kth.se)
Supplementary information
The course will be given as a cooperation between the Environmental Management and Assessment research group and the Geoinformatics division, KTH. Teachers for the course will be U. Mörtberg, K. Grunfeld, and other.
