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
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 | 1:30 | 1:30 | Exam |
| Scheduled Learning And Teaching Activities | Lecture | 16 | 1:00 | 16:00 | lectures |
| 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 |
| 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
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 2 | A | 60 | Essay style exam |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 40 | Data 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
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG3005's Timetable