Basic Intelligent Modelling
Study plans 2016-2017 - BIM1001 - 10 ECTS

Expected learning outcomes

On completing this course, students will have acquired basic knowledge and understanding of digital modelling, adding additional information (model enrichment) and in the use of intelligent models, data base concepts, Interactions and digital data flows.


  • Introduction to intelligent modelling, BIM and interaction
  • Modelling principles, including object oriented as opposed to layes based modelling
  • Properties, characteristics and definitions
  • Model intelligence – how to enrich a model
  • Data base concepts, general database terminology
  • Practical model construction and publication
  • Data flow and interaction – meaning, methods and consequences

Teaching Methods


Teaching Methods (additional text)

Net based learning with conferences together with supervised project tasks.

Form(s) of Assessment

Evaluation of Project(s)

Form(s) of Assessment (additional text)

2 project tasks giving a combined achievement grading

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Project tasks are periodically reviewed by external examiners
Delivered tasks are reviewed by internal examiners

Re-sit examination

By agreement with the Course Superviser

Teaching Materials

  • Eastman, Chuck; Teicholz, Paul; Sacks, Rafael; Liston, Kathleen (2008): BIM Handbook. John Wiley & Sons, Inc ISBN 978-0-470-18528-5
  • Statsbygg (2008): BIM-manual,
  • Senate Properties’ BIM requirements 2007

Miscellaneous lecture notes and available web sites distributed via Fronter

Replacement course for