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Module

CEG3708 : Spatial Data Processing and BIM

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Henny Mills
  • Lecturer: Dr Nigel Penna
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

The module will educate students on the digital flowline of spatial data based on the foundations taught in ENG2019. 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 LearningLecture materials201:0020:00Lectures
Scheduled Learning And Teaching ActivitiesPractical33:009:00Computer based activity
Scheduled Learning And Teaching ActivitiesPractical24:008:00Outdoor field practical
Guided Independent StudyProject work63:0018:00Coursework, group working
Scheduled Learning And Teaching ActivitiesDrop-in/surgery21:002:00Coursework help session
Guided Independent StudyIndependent study143:0043:00N/A
Total100:00
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 Examination1201A50Written exam 2h
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M50Integrated report on group-based project
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