FM1ARVI05 Visualisation

FM1ARVI05 Visualisation

  • Course description
    • Course code
      FM1ARVI05
    • Level of study
      5.1
    • Program of study
      Technical Design Architectual
    • Credits
      5
    • Course coordinator
      Carlos Henriquez
Teaching term(s)
2025 Spring
Authors
carlos.henriquez@noroff.no
About the Course

Candidates are provided skills in lighting and rendering used by professionals in the visualisation industry. The course provides knowledge of problem-solving 3D models and textures. Candidate learns about documenting and presenting visualisations. 

The course provides competence for interdisciplinary file sharing and visualisation of 3D models across production software. The candidate is provided knowledge of lighting and material production techniques, as well as skills in still image production. The course provides skills in composition, camera setup and post-production of images. 

Course Learning Outcomes
Learning outcomes - Knowledge

The candidate: 

  • has knowledge of tools that are used for sharing 3D models across applications. 
  • has knowledge of concepts, tools and processes that are used to apply materials, light a scene and render footage. 
  • has knowledge of composition and the golden ratio that are used to optimise the visual impact of images and video. 
  • has insight into relevant standards and quality requirements for resolution, image size and file formats. 
  • has knowledge of digital buildings, technical drawings and processes that are used to visualise architectural models. 
  • can update his/her knowledge of materials, lights, rendering and composition to optimise the visual output. 
  • understands the importance of his/her own structure in project files and naming conventions in a visualisation project. 
Learning outcomes - Skills

The candidate: 

  • can apply knowledge of materials to adjust textures based on the geometric shape and surface roughness. 
  • can apply knowledge of lights and photometric data to balance the lighting scheme. 
  • master's relevant tools and techniques for rendering images and video. 
  • can find information and material related to visualising. 
  • can study CAD models and identify geometrical issues and what modifications need to be optimised for import/export. 
  • can study renders and identify optimisation and composition issues and what settings need to be adjusted and implemented. 
General Competence

The candidate: 

  • understands the principles for good composition to render images and video of professional quality. 
  • has developed an ethical attitude for visualisation material copyrights in relation to his/her own production. 
  • can carry out import/export, texturing, lighting and rendering of CAD scenes. 
  • can build relations with his/her peers in relation to CAD visualisations. 
  • can develop near photo-realistic visualisations. 
  • can develop visualisations following detailed specifications and quality requirements. 
Teaching and Learning

In this course, the following teaching and learning methods can be applied, but are not limited to:

  • Lecture: Educator-led presentations or activities providing knowledge, skills, or general competencies in the subject area.
  • Group work: Collaborative activities where students work together to solve problems or complete tasks.
  • Tutoring: One-on-one or small group sessions with an instructor for personalized guidance and support.
  • Student presentations: Opportunities for students to demonstrate their understanding of course material by presenting to peers.
  • Online lessons: Digital content delivered via an online learning platform.
  • Guidance: Individualized advice and direction from instructors to support students in their learning journey.
  • Workshops: Practical sessions focused on hands-on application of theoretical concepts or skills.
  • Self-study: Independent study where students engage with course material on their own without any teacher support.
Reading list

Teaching materials, reading lists, and essential resources will be shared in the learning platform and software user manuals where applicable.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessment
Course Assignment
Pass / Fail
1 Week(s)