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* Retrieved from Course syllabus FAL3300 (Spring 2019–)

Content and learning outcomes

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.

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

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 hp, betygsskala: 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.

Examiner

Profile picture Ulla Mörtberg

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web FAL3300

Offered by

ABE/Sustainable development, environmental science and engineering

Main field of study

No information inserted

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.

Postgraduate course

Postgraduate courses at ABE/Sustainable development, environmental science and engineering