CEG3718 : BIM and City Modelling
CEG3718 : BIM and City Modelling
- Offered for Year: 2024/25
- Module Leader(s): Dr Henny Mills
- Lecturer: Professor Stuart Barr, Dr Craig Robson
- 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 | |
Pre-requisite
Modules you must have done previously to study this module
Code | Title |
---|---|
CEG1703 | Surveying and Mapping |
Pre Requisite Comment
Students require knowledge and understanding of survey data capture methods before they can proceed to this more detailed coverage of modern spatial data representation and management.
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
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. Practical’s will be used to expose students to the practice of spatial data modelling via a module long individual integrated project.
Learning Outcomes
Intended Knowledge Outcomes
By the end of the module a student will be able to demonstrate a good knowledge of the role of geospatial and survey data and information standards in underpinning spatial data representation in modern information systems, demonstrate a detailed knowledge of the theory behind spatial data models used to represent and model survey and geospatial data, apply efficiently modern data 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 BIM and GIS .
Intended Skill Outcomes
On completion of the module students will be able to:
-Synthesise and apply industrial data standards to the modelling of spatial data captured by modern survey devices;
-Import, edit and manipulate BIM data within a CAD and GIS environment;
-Integrate 2D, 2.5D and 3D survey and GIS geographical data in an information system environment;
-Apply project management principles to the development of an integrated 3D city model;
-Present project results in a professional manner.
Teaching Methods
Teaching Activities
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Structured Guided Learning | Lecture materials | 20 | 1:00 | 20:00 | Lectures |
Scheduled Learning And Teaching Activities | Practical | 4 | 3:00 | 12:00 | Computer based activity |
Scheduled Learning And Teaching Activities | Small group teaching | 1 | 3:00 | 3:00 | Seminar |
Guided Independent Study | Project work | 4 | 3:00 | 12:00 | Coursework |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 3 | 2:00 | 6:00 | Coursework help session |
Guided Independent Study | Independent study | 1 | 47:00 | 47:00 | 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.
Reading Lists
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 |
---|---|---|---|
Spatial Data Engineering and BIM | 1 | N/A |
Other Assessment
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Practical/lab report | 1 | M | 25 | BIM |
Practical/lab report | 1 | M | 25 | Spatial modelling |
Assessment Rationale And Relationship
The assessment exercises will assess the computational technical skills of BIM and GIS developed by students.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG3718's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- CEG3718's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.