Module Catalogue 2024/25

Pre Requisite Comment

Students require knowledge and understanding of fundamental survey methods before they can proceed to this more detailed and applied coverage of modern spatial data collection, analysis, representation, and management.

Co Requisite Comment

N/A

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.

Intended Knowledge Outcomes

By the end of the module a student will understand the role of geospatial data, their acquisition and information standards which underpin spatial data representation in modern information systems. Students will acquire detailed knowledge of the theory behind digital spatial data models used to represent and model geospatial data, the processing techniques and modelling approaches to the representation and management of spatial data of both the built and natural environment, and be able to appreciate the industrial relevance of geospatial data.

Intended Skill Outcomes

On completion of the module students will be able to:
-synthesise and apply industrial data standards to the modelling of digital spatial data captured by modern survey devices; (C4, C15, C10,)

-undertake all aspects of the digital geospatial data flowline including a variety of data capture and analysis methods, and then setting out of a designed building (C2, C1, C12, C16, C12. C13,

-process, mapping and modelling of 2D and 3D spatial data (C2, C3, C12, C13,

-present project results in a professional manner. (C4, C6, C14, C16, C17, C10)

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 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.

General Notes

N/A