BYG502 Building Information Modelling and Analysis

Contents and structure

BIM and GIS are essential tools for a wide range of real-world applications. This course addresses central theory and concepts associated with BIM but also includes selected topics from GIS that may complement and improve the core BIM modelling and analysis capability.

Topics addressed in the course include modelling, analyses and visualisation, involving combined digital workflows and integration of BIM and GIS.  The entire process from data collection of existing objects to complete building part models, and the accompanying analyses will be explored during the course, focusing on open formats and standards. The role of BIM in the context of smart cities will also be discussed, together with trends, challenges and benefits associated with BIM.

Learning Outcome

Knowledge

The student

• has a good knowledge about BIM concepts and relevant theory and terminology
• understands the principles of using BIM in planning, design, construction and operation of buildings and infrastructure
• is able to describe workflows of BIM including the BIM/GIS interface
• is able to explain how to integrate existing buildings in BIM
• is able to describe the principles of OpenBIM

 

Skills

The student can

• create building models from raw point cloud data
• identify, adapt and apply relevant methods for both spatial and non-spatial analyses
• establish integrated workflows using GIS and BIM
• perform 3D visualizations and spatial analyses based on combined BIM and GIS data

 

General competency

The student shall

• be able to discuss challenges and benefits associated with BIM for a particular application or project
• be able to discuss various approaches for BIM and GIS integration
• be able to discuss various aspects of data quality in the context of BIM

Entry requirements

No compulsory prerequisite

Recommended previous knowledge

BYG109 - Geographic Information Systems Analysis

BYG119 - Drawing and CAD/BIM

(Basic knowledge about collection and processing of LiDAR data/point cloud data, e.g. LEI110)

Teaching methods

Traditional lecturing - theory and models.

Supervision in relation to project work.

Practical exercises using BIM and GIS software, including a semester project.

Compulsory learning activities

Three written assignments.

The assignments must be submitted within set deadlines and must be approved before examination can take place.

Assessment

Semester project including project report (60% of the final grade), and oral exam. Oral exam accounts for 40% of the final grade.

Grade scale A-F, where F is fail. Both elements must be passed to pass the course and obtain a final grade.

Examination support material

All support materials are permitted

More about examination support material