CEG3708 : Spatial Data Engineering and BIM
- Offered for Year: 2024/25
- Module Leader(s): Dr Henny Mills
- Lecturer: Dr Nigel Penna
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
The module will educate students on the digital flowline of spatial data based on the foundations taught in CEG2711. This module introduces the digital approaches employed to represent and manage spatial data and information for engineering applications. Included are both the underpinning theory and applied aspects of how spatial data may be captured by a range of digital devices, such as total stations and laser scanners, and how the data are modelled within Building Information Management/Modelling (BIM) systems.
Outline Of Syllabus
The module syllabus will introduce students to the emergent standards employed in information systems for the capture and representation of spatial data. On the basis of these standards the course will cover a wide range of different spatial scales of spatial data and information modelling for information systems representation including; processing of spatial and digital; data flow line from field to office and product; internal and external building model detail for BIM; 2D spatial models of man-made and natural features; 2D and 3D mapping and modelling of natural features and man-made objects. Students will engage with the digital data flow line process, via the capture of digital geospatial field data, analysis and modelling of it within a BIM design environment, then the field setting out of the design. Practical’s will be used to expose students to the practice of spatial data modelling as part of an integrated project.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Structured Guided Learning | Lecture materials | 20 | 1:00 | 20:00 | Lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 12:00 | 12:00 | Revision for and completion of examination |
| Scheduled Learning And Teaching Activities | Practical | 3 | 3:00 | 9:00 | Computer based activity |
| Scheduled Learning And Teaching Activities | Practical | 2 | 4:00 | 8:00 | Outdoor field practical |
| Guided Independent Study | Project work | 6 | 3:00 | 18:00 | Coursework, group working |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 2 | 1:00 | 2:00 | Coursework help session |
| Guided Independent Study | Independent study | 1 | 31:00 | 31:00 | N/A |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures are used to present the underlying theory and principles of spatial data collection, representation, management, modelling and setting out. Practical sessions will allow students to apply the theory in relation to an integrated project. Seminars will expose students to the cutting edge industrial relevance of BIM and visualisation software within the use of spatial information systems in the built and natural environment. Drop-in sessions provide a means to discuss and ask questions on self-directed study exercises.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 50 | Written exam 2h |
Exam Pairings
| Module Code | Module Title | Semester | Comment |
|---|---|---|---|
| BIM and City Modelling | 1 | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 1 | M | 10 | Integrated final report on group-based project. 1000 Words. |
| Practical/lab report | 1 | M | 25 | BIM Model: 300 Words |
| Practical/lab report | 1 | M | 15 | Mapping: 500 Words |
Assessment Rationale And Relationship
The exercises will assess the computational technical skills of BIM developed by students, as well as their geospatial data collection and analysis skills and abilities.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG3708's Timetable