CEG2721 : Spatial Data Modelling and BIM
- Offered for Year: 2020/21
- Module Leader(s): Dr Henny Mills
- Lecturer: Dr Luke Smith
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
Aims
This module introduces students to the modern computer-based approaches employed to represent and manage spatial data and information for survey and geographic information systems applications. The course concentrates on both the underpinning theory and applied aspects of how digital spatial data captured by a range of digital devices is modelled within information 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; internal and external building model detail for BIM (Building Information Management); 2D spatial models of man-made and natural features; 2.5D spatial models; 3D modelling and representation of man-made objects; multi-scale representation and information systems. Aspects of project management are introduced and the theory and practice of modern spatial data modelling are combined through the module long project that builds into a portfolio of assessed materials. Practicals will be used to expose students to the practice of spatial data modelling via a module long individual integrated project.
Teaching Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Structured Guided Learning | Lecture materials | 1 | 1:00 | 1:00 | asynchronous |
| Structured Guided Learning | Lecture materials | 14 | 1:00 | 14:00 | Lectures |
| Scheduled Learning And Teaching Activities | Practical | 1 | 2:00 | 2:00 | Computer based practical |
| Scheduled Learning And Teaching Activities | Practical | 2 | 3:00 | 6:00 | Computer based activity (PiP x3hr) |
| Guided Independent Study | Project work | 3 | 3:00 | 9:00 | Coursework |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 1 | 1:00 | 1:00 | Coursework help session |
| Guided Independent Study | Independent study | 1 | 67:00 | 67:00 | N/A |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures are used to present the underlying theory and principles of spatial data representation, management and modelling. Practical sessions will allow students to apply the theory in relation to a module long integrated project. Seminars will expose students to cutting edge industrial relevance of BIM and GIS within the use of spatial information systems in the built and natural environment.
Alternatives will be offered to students unable to be present-in-person due to the prevailing C-19 circumstances.
Student’s should consult their individual timetable for up-to-date delivery information.
Assessment Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 1 | M | 50 | Revit activity |
| Written exercise | 1 | M | 50 | BIM research |
Assessment Rationale And Relationship
The assessment exercises will assess the computational technical skills of BIM and GIS developed by students.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG2721's Timetable