Skip to main content


CEG3005 : The Data-Centric Urban Environment

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Craig Robson
  • Lecturer: Dr Maria-Valasia Peppa
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System


This module introduces key concepts and practical skills for handling data within a civil engineering context, with a focus on data science and spatial data, including applications within GIS and digital environments. The module introduces the fundamental knowledge and concepts required to handle and use spatial data robustly for analysis applications and to generate high-quality outputs. Uses and applications of data will be demonstrated with real-world applications providing case studies and relevant transferable skills. Issues around data ethics will also be covered in relation to the safe handling and responsible use of data.

Outline Of Syllabus

The module syllabus covers:

GIS: What, why and how

Key spatial data concepts

Fundamentals of spatial data analysis

Visualisation of spatial data

Python programming and data science principles

Emerging digital technologies

Responsible use of data

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture161:0016:00lectures
Guided Independent StudyAssessment preparation and completion116:3016:30Exam revision
Guided Independent StudyAssessment preparation and completion118:0018:00Project work for submission
Guided Independent StudyAssessment preparation and completion11:301:30Exam
Scheduled Learning And Teaching ActivitiesPractical63:0018:00PC based practicals
Guided Independent StudyIndependent study61:006:00Review of practicals
Guided Independent StudyIndependent study161:3024:00Background reading and reviewing of lecture notes to develop a clear understanding
Teaching Rationale And Relationship

Lectures introduce the foundations and concepts, including the underlying theory, while also introducing the issues around the use of data, both from ethical perspectives and a responsibility view. Practical sessions give students hand-on experience with real-world data to put the theory into practice and develop the key skills around GIS and spatial data handling and modelling.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination902A60Essay style exam
Other Assessment
Description Semester When Set Percentage Comment
Report2M40Data based analysis exercise with a written report (or equivalent) 6 page limit
Assessment Rationale And Relationship

An exam will allow an assessment of the understanding around fundamentals of data and different digital environments along with the responsibilities associated with using data in a data-centric engineering approach. The project report assessment will allow practical skills in using data within a digital environment to be assessed.

Reading Lists