Learning / outline
Digital Engineering
Use models and information to support engineering decisions.
Why this subject matters
Decisions depend on the meaning, quality and status of information. The course will examine how models and data are prepared, exchanged, checked and used through an asset’s life.
Who it is for
Civil and infrastructure engineers and asset teams, including those taking on information-management responsibilities.
This is a planned outline. The lessons are not yet available.
Planned coverage
Engineering principles and workflows for models, data, assurance and information across an asset’s life.
The planned 20 modules cover principles, engineering decisions and practical examples.
- 01
What digital engineering means
- 02
BIM and information management
- 03
Models as engineering information
- 04
Common Data Environments
- 05
ISO 19650 context
- 06
Information requirements
- 07
Model coordination
- 08
Clash detection
- 09
GIS and spatial context
- 10
Data structures and asset information
- 11
Digital assurance
- 12
Automation
- 13
APIs and engineering workflows
- 14
Reality capture
- 15
Digital twins
- 16
AI in engineering
- 17
Data quality and governance
- 18
Cyber and security considerations
- 19
Handover and asset lifecycle
- 20
Practical multidisciplinary case study
Using the learning
Discuss the subject with a suitably experienced engineer and use the procedures, standards and guidance relevant to your role. Course material does not authorise an appointment or certify competence.