G449 – Building Information Modeling (BIM)

Module
Building Information Modeling (BIM)
Building Information Modeling (BIM)
Module number
G449
Version: 2
Faculty
Spatial Information
Level
Master
Duration
1 semester
Turnus
Winter semester
Module supervisor

Prof. Dr.-Ing. Christian Clemen
christian.clemen(at)htw-dresden.de

Lecturers

Dr.-Ing. Helga Tauscher
helga.tauscher(at)htw-dresden.de


Prof. Dr.-Ing. Christian Clemen
christian.clemen(at)htw-dresden.de

Teaching language(s)

English

ECTS credits

5.00 Credits

Workload

150 hours

Courses

4.00 SWS (2.00 SWS Lecture | 2.00 SWS Internship)

Self-study time

90.00 hours

Pre-requisite(s) for the examination
Not specified
Examination(s)

Alternative examination - Computer project
Weighting: 50 % | Tested in English language


Alternative examination - Written performance assessment
Examination duration: 60 min | Weighting: 50 % | Tested in English language

Teaching form
Not specified
Media type
Not specified
Teaching content / structure
  • Motivation and practical examples for BIM
  • Differences and similarities of the BIM method with CAD and GIS
  • Methods of solid modeling
  • Semantic building models and component orientation
  • Component libraries, classification systems
  • Level of Information Needed (LOIN)
  • Collaboration and Management
  • Legal framework and standards
  • Georeferencing of building models
  • Digital terrain models (DTM) in BIM
  • Open and proprietary data formats (Industry Foundation Classes, Revit)
  • Visual programming and creation of plugins for BIM software
Qualification objectives
  • Understanding the concepts of semantic and component-oriented building models
  • Applying commercial BIM software for AEC-planning and asset management, applying BIM and GIS models together
  • Knowing open BIM standards and data models
  • Developing simple plugins or software for the BIM method
  • Understanding BIM as a management method
Special admission requirement(s)
Not specified
Recommended prerequisites

Basic computer programming knowledge, obtained in course I928 Applied Programming (Python) or similar.

Continuation options
Not specified
Literature
Not specified
Current teaching resources
Not specified
Notes
Not specified