About this course

The course introduces digital tools and topics connected to 3D modelling and visualizations for landscape design. The topics are divided into main parts through the course. Each part is built around lectures and assignments. The following are some of the topics been introduced: Autodesk Civil3D for landscape terrain modelling, 3D modelling and illustration with Sketchup, VectorWorks Landmark for landscape planning, Lumion3D for landscape visualizations. The techniques Introduced in the lectures will be practiced through exercises at computer lab. The course include also a final project assignment. At the project stage, students will work with a selected case study. The expected final output from student for the course is a collection of the individual assignments work, and the final project showing how 3D modelling techniques are been implemented through a case study. The course is ideal for Landscape architectural or planning students who want to learn processes and methods for using 3D modelling techniques for landscape design. Professional landscape architects will participate to the course with lectures showing how digital tools are been used in the practice.

Learning outcome

Knowledge: Students will gain knowledge of three-dimensional (3D) modelling and visualization techniques for landscape design and planning by using commercially available 3D tools and software packages. Students will gain knowledge on best practices for using 3D tools for visualizing projects.

Skills: Students will practice with 3D tools and techniques at computer labs for terrain modeling, site analysis, 3D illustrations and animations.

General competence: On completion of the course, students will have overview over 3D modelling techniques and processes for landscape design and planning and should be able to work with: 3D terrain models, perform analysis and site studies from the terrain, creating 3D visualizations and illustrations.

  • Learning activities

    Course is based on flipped classroom teaching method. Pre-recorded video lectures and work assignments are provided to students before class session. In-class time sessions at computer lab is devoted to practice, supervision and discussions. The lectures ( Pr-recorded video is in Norwegian. The supervision can be given in English.

  • Teaching support

    Pre-recorded video lectures + exercises + individual work + practice hours with supervision at computer lab.

  • Syllabus

    Representing Landscapes Digital, by Nadia Amoroso.

    Google SketchUp for Site Design: A Guide to Modeling Site Plans, Terrain and Architecture by Daniel Tal.

    Rendering in Sketchup by Daniel Tal.

  • Prerequisites

    LAD100,LAA116,LAA214 or equivalent competence for exchange students

  • Assessment method

    Portfolio evaluation.

    Individual assignments are evaluated according to the principles that are demonstrated in the lectures and assignments description. In order to pass the course:

    1- 80% of all assignments should be successfully completed and approved by external examiner and teacher.

    2- Final project should be successfully completed and approved by external examiner and teacher.

    Outcome of the evaluation of assignments and final project is presented in a seminar at the end of the course in the presence of an external examiner.

    Grading: Paas - no pass.



    Portfolio Karakterregel: Passed / Not Passed

  • About use of AI

    K2:

    The applicable usage of AI in this course falls under category K2: AI can be used for idea generation and language proofreading. The use of AI should be described with a brief explanation of which programs you have used and how the program is used in the text. The student\ group is responsible for the final content of the text after language proofreading has been completed. The use of AI should also be in line with the guidelines for the use of AI at NMBU.

    Descriptions of AI-category codes.

  • Examiner scheme

    An external examiner participates in the grading of assignments and project work that is part of the portfolio assessment.

  • Mandatory activity

    Final project + all assignments should be submitted within the deadline.

  • Teaching hours

    Expected total spending time: 300 hours (30% lectures time + practice time at computer lab with supervision. 70% individual work).

  • Preferential right

    M-LA 3rd year

  • Admission requirements

    Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)