Course content

The course is given every year. Important topics are: The value of Building information modelling (BIM) and Geography information system (GIS) for sustainable built environment development; Data management and Information flow; Regulations and standards related; sustainability assessment (LCA, LCC, SA) for built environment; Integrating BIM and building energy modelling; Integrating BIM and sustainability assessment for built environment (data preparing and quality, information format, information flow); BIM and GIS for sustainable development and management in district and city (transport, energy distribution, sewage system, etc.); Machine learning in the civil engineering.

Learning outcome

Knowledge: The course will give an overview and understanding of sustainable built environment development with digital processes.

Skills: Plan, evaluate and manage the built environment within the digitalisation and sustainable perspective

General competence: The course will give knowledge on building information modelling (data capturing, processing, modelling), optimisation methods and data analytic to support the decision making in the planning, design, construction and management of the built environment.

Learning methods and activities

Lectures, colloquia, self studies, preparation of an individual project report. The topic of the report will be related to the research areas covered by the course, and it may be related to the actual PhD project of each student. To pass the course a score of at least 70 percent is required. When there is less than 3 students, the course will designed for mainly self study.

Compulsory assignments

• Seminar

Recommended previous knowledge

MSc degree within research areas related to Geomatics, Civil and Environmental Engineering, computer science or Industrial Ecology.

Required previous knowledge

MSc degree with qualifications for PhD studies at NTNU. Building information modelling (BIM) Geography information system (GIS)

Course materials

Textbooks, reports, papers, etc. to be announced at the start of the course.