Development of new courses
Knowing the needs and desired learning outcomes from the previous PRs, we will develop new courses optimally filling the knowledge gaps.
Above all, we plan to connect competencies from BIM and GIS domains. We aim that the trainees shall be able to coordinate various BIM- and GIS specialists, working on the same project. This synchronisation will allow insights that would remain hidden without the BIM-GIS integration, by enhancing advanced analyses to investigate patterns, assess risks or to include time- and cost-, the 4D and 5D, dimensions.
We intend to develop a modular training for both professionals and beginners. Experts with previous knowledge could select courses to upskill themselves, while the new trainees would follow the whole educational package. The new courses will update the VET programs within the partnership and thus improve their quality.
Methodology for co-creation of courses
The new multidisciplinary courses will be developed in cooperation of several partners with diverse expertise. The established SCRUM methodology was modified for GIS-purposes within the giCASES project and will be further adjusted here.
Modern land surveying technologies
3D data acquisition of e.g. bridges or buildings involves different technologies, such as laser scanning, drones or GNSS. Our courses will cover planning of the acquisition, selection of appropriate method and instrument as well as processing of the obtained and collected data.
Smart community building process
BIM-GIS integration is crucial for the efficient community planning. The courses will target its implementation in different stages of the planning process, from site-selection and design to maintenance and eventual decommission. We will focus on real-world applications with a plethora of examples.
Putting together construction-, geospatial- and statistical data has potential to provide more reliable and relevant information. At the same time, it is the main issue of the successful BIM-GIS integration as the data inter-operability is usually limited. Even methods to bring along metadata and attributes are not matured yet. Our courses will emphasise technical means to harmonise the datasets.