Digital Landscape Visualisation
Swedish University of Agricultural Sciences
Alnarp
Start date:
End date:
Pace of study: 100 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: LK0368
The aim of the course is to provide training in different methods for landscape visualisation in landscape design and planning and, through a range of examples and references, create a broad understanding of the possibilities and limitations of digital visualisation within landscape architecture and spatial planning. After having completed the course, the student should: - be able to use digital tools for 3D modelling, picture editing and presentation in order to allow the landscape to be visualised in different stages of the design and planning process. - have a basic understanding of the technology behind 3D modelling and digital pictures - have good theoretical knowledge of visual communication - have up-to-date knowledge of how digital tools are used for visualising the landscape nationally and internationally - be able to critically appraise the use of digital tools for visualising the landscape Find portfolio instructions on: https://www.slu.se/lam-portfolio/
Knowledge equivalent to 120 credits, of which specific entry requirements: 90 credits in one of the following subjects: • landscape architecture • architecture • landscape planning • built environment • design • spatial planning • geography • landscape science • environmental science and an approved portfolio accordning to specific instructions. See link for portfolio instructions during additional information. OR 150 credits from a Landscape Architecture programme at SLU or an Erasmus partner university. and English 6 or equivalent.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Swedish University of Agricultural Sciences
Alnarp
Start date:
End date:
Pace of study: 100 %
Retrieved: .
Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-09T15:49:59