CEG3005 : The Data-Centric Urban Environment
- Offered for Year: 2025/26
- Module Leader(s): Dr Craig Robson
- Lecturer: Dr Achraf Koulali Idrissi, Dr Xiang Xie
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
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 | |
Aims
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 |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 16:30 | 16:30 | Exam revision |
| Guided Independent Study | Assessment preparation and completion | 1 | 18:00 | 18:00 | Project work for submission |
| Guided Independent Study | Assessment preparation and completion | 1 | 1:30 | 1:30 | Exam |
| Scheduled Learning And Teaching Activities | Lecture | 16 | 1:00 | 16:00 | lectures |
| Scheduled Learning And Teaching Activities | Practical | 6 | 3:00 | 18:00 | PC based practicals |
| Guided Independent Study | Independent study | 6 | 1:00 | 6:00 | Review of practicals |
| Guided Independent Study | Independent study | 16 | 1:30 | 24:00 | Background reading and reviewing of lecture notes to develop a clear understanding |
| Total | 100:00 |
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
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 100 | Data based analysis exercise with a written report (or equivalent) 8 page limit. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 2 | M | undertaken in class to check knowledge and understanding. |
Assessment Rationale And Relationship
The project report assessment, worth 100% of the module, will allow practical skills in using data within a digital environment to be assessed, and allow issues around copyright and data licensing to be explored and awareness assessed. The formative assessment will allow learners to get feedback on how to create and present shareable code for data analysis prior to the submission of the assessed assignment.
Report assess aspects of AHEP M2, M3, M8, M11, M15, M17.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG3005's Timetable