CEG8006 : Digital Engineering and Analytics
- Offered for Year: 2024/25
- Module Leader(s): Dr Craig Robson
- Lecturer: Professor Stuart Barr
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
This module will cover how digital technologies and methods are employed in civil-engineering with examples from practice. It equips students with the knowledge and skills to represent the built environment, and understand how modern data-science skills can be used with a range of data sets and analysis methods.
The aims of the module are to enable students to:
-Lean how digital technologies can be used to represent and model urban environments
-Understand and undertake a range of analysis techniques that have broad applicability across all aspects of civil engineering within a programming environment
-Develop communication skills around explaining complex and emerging technologies to a lay audience
-Develop an awareness of how modern and emerging digital technologies are continuing to change civil-engineering practice
Outline Of Syllabus
The module covers themes including:
-Digital methods for modelling the real-world using GIS
-Data modelling
-Data-science skills and methods for data with Python
-Digital data visualisation
-How digital tools and solutions are used in engineering practice
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 5:00 | 5:00 | Research and preparation for presentation |
| Guided Independent Study | Assessment preparation and completion | 1 | 40:00 | 40:00 | Report |
| Scheduled Learning And Teaching Activities | Lecture | 12 | 1:00 | 12:00 | Lectures covering theory and essential concepts |
| Scheduled Learning And Teaching Activities | Practical | 5 | 3:00 | 15:00 | Practicals giving hand-on experience of working with digital tools for engineering and analytics |
| Scheduled Learning And Teaching Activities | Small group teaching | 3 | 1:00 | 3:00 | Seminars – expert speakers on the use of digital technologies |
| Guided Independent Study | Independent study | 1 | 25:00 | 25:00 | Background reading and desk research on content covered during the module |
| Total | 100:00 |
Teaching Rationale And Relationship
Theoretical and knowledge-based outcomes are primarily taught through lectures and seminars. 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. 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 exercise | 1 | M | 70 | Report (approx. 10 pages, or equivalent, including diagrams and tables) |
| Oral Presentation | 1 | M | 30 | 15 minute Group based presentation completed within the block module period. |
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
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG8006's Timetable