Examination arrangement

Course content

The course will provide the students with an understanding of what a BIM is, how this has the capacity to transform the AEC/FM-industry, and how BIM can be used to gain insights into the life-cycled of the built environment. Student project on real project in collaboration with the AEC/FM-industry. The theoretical learning outcomes can be applied within AEC/FM specializations such as: structural engineering, building technology, civil engineering, building physics, energy analysis, or facility management project management and others.

Learning outcome

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence: Knowledge On successful completion of this course the student will: • have advanced knowledge about interoperability in BIM based solutions • have specialized knowledge about use and implementation of BIM in the AEC/FM-industry • have good knowledge about BIM based standards (developed and under development) • have good knowledge about emerging technologies and trends in the AEC/FM- industry and research community.   Skills On successful completion of this course the student can: • use standards and methods for information modelling methods to specify relevant information for a defined process in the life-cycle of a building or a construction. • perform BIM based analysis and simulation on relevant themes thorough the life cycle of the building project. • perform analysis and simulation of real situation by use of digital twins/BIM in order to improve designed performance General competence On successful completion of this course the student: • can perform research within BIM related themes • has a general understanding of existing and emerging technologies, solutions and theories within the field of BIM • has a deep understanding of the interactions between technology, organisation and processes

Learning methods and activities

This PhD course has a flexible implementation and will be a combination of campus and online teaching and guidance. Teaching is set up as a flipped classroom. The plenary teaching will usually include three thematic modules of 2-4 hours in duration. Great emphasis is placed on guidance for each individual student. It is assumed that the student works on a project as part of PhD or Master's studies that will result in a report or a scientific article/paper.

Students are recommended to contact the course coordinator for further information and adaptation of their own project.

Further on evaluation

Project work, written report: 100%.

Specific conditions

Recommended previous knowledge

Basic background in Building Information Modelling (BIM). Knowledge about most used ICT solutions in the architects, engineers, contractors/ facility management industry (AEC/FM). Knowledge about design, construction and operation process in the AEC/FM-industry.

Required previous knowledge

No formal courses, but recommended prev. knowledge is necessary for understanding of the subject. The course will be run if at least 3 students with relevant background wish to attend. If you wish to attend, please contact the course coordinator. Students not admitted to the PhD programme in engineering may be approved by the course coordinator.

Course materials

Rafael Sacks, Chuck Eastman, Ghang Lee & Paul Teicholz (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers, Wiley; 3 edition, ISBN-13: 978-1119287537 Randy Deutsch (2016) Data-Driven Design and Construction: 25 Strategies for Capturing, Analyzing and Applying Building Data, John Wiley & Sons, Inc., ISBN: 978-1-118-89870-3 Robert Owen, Robert Amor, John Dickinson, Matthijs Prins & Arto Kiviniemi (2013). Integrated Design and Delivery Solutions (IDDS), International Council for Research and In-novation in Building and Construction. International Council for Building. Retrieved from http://site.cibworld.nl/dl/publications/pub_370.pdf Hjelseth, E. (2015). Foundations for BIM-based model checking systems, Transforming regulations into computable rules in BIM-based model checking systems. PhD Thesis: 2015:54, Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Norway, ISSN: 1894-6402, ISBN: 978-82-575-1294-1 ISO19650 Organization of information about construction works - Information management using building information modelling, Part 1: Concepts and principles, Part 2: Delivery phase of assets, and Part 3: Operational phase of assets. ISO 29481-1:2016 Building information modelling. Information delivery manual -- Part 1: Methodology and format