After completing the programme, the student understands the varieties of models and data created in the real-estate and construction sector and has gained hands-on capabilities to apply, develop and implement modern computational methods and tools to process them, with the purpose of increased quality, sustainability, productivity, and security of construction.
The student has become familiar with
the heterogeneous models of built environment (building information models, city models, product data, etc.),
secure and organized data management and sharing technologies and practices in construction, and
point clouds, sensor data, and event data generated over the construction lifecycle.
The student has acquired the following knowledge and skills to meet the demands of the construction sector:
utilize computational tools to query, process, link, enrich, and manage the data,
create, modify, and optimize the models algorithmically,
understand and utilize the artificial intelligence technologies, and
develop and extend models and systems.
