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CEG8711 : City Analytics

  • Offered for Year: 2021/22
  • Module Leader(s): Prof. Stuart Barr
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 20
ECTS Credits: 10.0


The aims of the module are:
* To develop an understanding of current and future environmental, social and physical pressures faced by cities;
* To understand how modern data management, analysis and modelling approaches can be applied to cities.

Outline Of Syllabus

Cities: spatial and temporal form, function and dynamics.
Environmental, social and physical pressures on and drivers of cities.
Analysis of the social-economic structure of cities.
Population and demographic modelling and simulation.
Simulating the physical form and function of cities.
Intra-urban infrastructure network and systems analytics (transport, energy, water and ICT).
Smart cities and data analytics for real-time data.
Integrated GeoBIM analytics and modelling.
City visualisation and decision support.
Integrate city analytical platforms.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture201:0020:00N/A
Guided Independent StudyAssessment preparation and completion125:0025:00Project submission on simulation and modelling of cities.
Guided Independent StudyAssessment preparation and completion12:002:00Exam
Guided Independent StudyAssessment preparation and completion200:3010:00Revision for exam
Scheduled Learning And Teaching ActivitiesPractical102:0020:00N/A
Guided Independent StudyDirected research and reading92:0018:00Homework questions for review in future lectures/blackboard feedback.
Scheduled Learning And Teaching ActivitiesWorkshops51:005:00N/A
Guided Independent StudyReflective learning activity162:0032:00Practical and project work preparation
Guided Independent StudyIndependent study133:0033:00Background reading
Guided Independent StudyIndependent study351:0035:00Lecture follow-up and reflection
Teaching Rationale And Relationship

Lectures provide core knowledge and understanding of the theory and applied understanding of the use of computational analytics for the spatial and temporal analysis and modelling of cities. Practicals allow students to gain skills in the application of analytics software in relation to generating evidence for objective decision-support for cities. Students will be expected to apply independently the gained computational analytics skills to further data sets and projects given. This will enable to enhance the understanding of the methods and learning through the required reflective learning.

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination1201A60N/A
Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M402000 word report
Assessment Rationale And Relationship

Exam will assess student understanding of the core principles taught in the module. Practical assessment evaluates students ability to apply analytical approaches to a ’real-world’ situation.

Reading Lists