CEG8220 : Data-Centric Ground Engineering
- Offered for Year: 2024/25
- Module Leader(s): Dr Sadegh Nadimi
- Lecturer: Dr David Milledge, Dr Ross Stirling, Dr Aleksandra Svalova
- 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 aims to introduce the basic skills and knowledge related to data science for geotechnical and geological engineers.
Students will be able to understand the key concepts of image processing, statistical modelling, and machine learning for data processing and visualisation.
Students will be able to apply their knowledge to a practical problem using computer programming.
Outline Of Syllabus
Module Summary
This module will provide an introduction to the data science approaches in ground engineering.
Students will learn about the sources of geotechnical data, quantitative image analysis, statistical modelling, and machine learning. Students will perform computer programming to implement the methodologies.
Students will be introduced to a range of ground engineering case studies, including material characterisation, ground investigation, slope stability and geohazards.
The syllabus includes:
Sources of geotechnical data
Models and data types.
Introduction to time series.
lectures and computer tutorials on basic programming
lectures and computer tutorials on quantitative image analysis for ground engineering
lectures and tutorials on basic statistical modelling, including summary statistics, data visualisation, linear/logistic regression, clustering
lecture on the basic concept of machine learning
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Coursework preparation |
| Guided Independent Study | Assessment preparation and completion | 5 | 8:00 | 40:00 | Includes background reading and reading lecture notes for a full understanding of the material |
| Scheduled Learning And Teaching Activities | Lecture | 5 | 3:00 | 15:00 | N/A |
| Structured Guided Learning | Structured research and reading activities | 10 | 2:00 | 20:00 | Structured guided learning |
| Scheduled Learning And Teaching Activities | Small group teaching | 5 | 3:00 | 15:00 | Computer Tutorials |
| Total | 100:00 |
Teaching Rationale And Relationship
The module is taught as an intensive block in order to provide an immersive learning experience with a flexible integration of lecture and tutorial sessions. This format also allows part time and full time students and CPD delegates to attend. The module includes lectures to explain the theory, and small group teaching activities to explain the programming and applications in ground engineering. It allows opportunities to practice skills and it relates directly to the assessment.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 2 | M | 100 | Individual coursework (7 pages) |
Assessment Rationale And Relationship
Students’ acquisition of knowledge and understanding of fundamentals are assessed through individual coursework. Each student will submit an electronic report summarising the results of two programming tasks. The data will be interpreted to produce a discussion on their application.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG8220's Timetable