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CEG8006 : Digital Engineering and Analytics

  • Offered for Year: 2022/23
  • Module Leader(s): Dr Jean Hall
  • Lecturer: Dr Elizabeth Lewis
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0


This module will introduce a wide range of digital technologies, analysis methods, and their associated risks and regulatory considerations in the context of civil engineering. It equips the students with the knowledge and skills to analyse large and complex datasets (big data), to automate simulation and modelling processes, interrogate real-time and sensor streams, and effectively communicate and visualise results.

The aims of the module are:

To demonstrate analysis techniques that have broad applicability across all aspects of civil engineering, with particular emphasis on timeseries, processing raw data, and data quality and suitability assessment.

To develop an awareness of associated regulatory, legal and privacy aspects relating to data and infrastructure.

To provide an opportunity for students to assess real-world problems in an efficient manner by maximising the value of existing data and using automation.

Outline Of Syllabus

Lectures and computer practical sessions will be structured around analysis of a real-world engineering problem that includes structural, water resources, environmental, transport, and geospatial aspects.

Data systems

Management of static and dynamic data

Acquiring data through application programming interfaces (APIs)

Privacy and regulation (e.g. CPNI, EIR, RoPSI and international equivalents)

Digital technologies and smart infrastructure systems

Internet of things devices, protocols, and communication


Digital twins

Analysis methods

Quality and suitability (i.e. provenance, validation, types of error, statistics)

Timeseries analysis (e.g. decomposition)

Machine learning and computer vision (e.g. instance segmentation)


Batch processing

Parameter sweeps (i.e. for optimisation)

Model chaining and workflows


Decision support


Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion145:0045:00Report
Scheduled Learning And Teaching ActivitiesLecture151:0015:00N/A
Scheduled Learning And Teaching ActivitiesPractical53:0015:00N/A
Guided Independent StudyIndependent study125:0025:00Background reading and desk research
Teaching Rationale And Relationship

Theoretical and knowledge-based outcomes are primarily taught through lectures and tutorials. This is especially appropriate where the material relates to forthcoming technology that students should have an awareness of but is not yet widespread in use, such as digital twins for infrastructure systems. Legal, regulatory and privacy aspects will also be taught in this way. An extensive set of notes will accompany these sessions.

Skills outcomes are achieved mainly through computer practical sessions, allowing the students to apply the methods to a hypothetical but realistic civil engineering scenario. Students will be supported through the practical sessions with instructions that cover the basics of the methods but will be expected to conduct their own research and work together in some instances to develop their problem solving skills.

Assessment Methods

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

Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M100Individual report (approx. 8 pages, including diagrams and tables)
Assessment Rationale And Relationship

An individual report is the primary method of assessment. The report should evidence results achieved by application of the skills developed in the data, analysis, and automation techniques. In addition, the report will require discussion of the limitations and transferability of those results alongside recommendations for further work, through which it should adequately demonstrate the knowledge outcomes. A degree of flexibility in the brief should allow the students to demonstrate these with respect to their chosen stream on the programme and preferences towards specific software or methods.

Reading Lists