The student who has completed the programme understands the varieties of data created in the real-estate and construction industry and has hands-on capabilities to apply, develop and implement modern computational methods and tools to process it, with the purpose of increased quality, sustainability, productivity, and security of construction.
The student is familiar with
- heterogeneous models about built environment (building information models, city models, infrastructure models), and
- sensor and condition data generated by building automation systems and IoT systems.
The student has skills to
- utilize computational tools to query, process, and manage the data, and
- develop and extend models and computational tools for tasks in the construction domain.
- BIM, GIS and openBIM (IFC, bSDD, BFC)
- ISO 19650 standard for BIM-based information management
- Imaging (3D scanning, depth cameras, and point clouds)
- Sensing (BAS and IoT as well as positioning)
- AI, machine learning, and knowledge graphs
- Linked Data and ontologies in construction
- Security and privacy in construction
- Computational design (including design optimization)
- Digital twins in construction (as-built models, update processes, sensor data integration, visualization)
- Product data, procurement, and supply-chain management (GS1, Digital Link)
- Digitalized construction management (lean construction, takt-time planning)