CEG8745 : State of the Art Modelling for Flooding and Water Management (Inactive)
- Inactive for Year: 2025/26
- Module Leader(s): Dr Caspar Hewett
- Lecturer: Dr Manuel Herrera, Dr Vassilis Glenis
- 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: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Aims
The aim of this module is to provide an understanding of numerical and machine learning methods applied to problems in sustainable water management. It is designed to provide a good understanding of the strengths, weaknesses and limitations of the methods which underpin models of real systems.
Students will acquire the necessary skills to use modelling software to solve engineering problems with competence and confidence.
Outline Of Syllabus
Introduction to method of characteristics, finite differences, finite elements and finite volumes;
Introduction to machine learning and optimisation;
Stability, accuracy and consistency of numerical schemes;
Explicit and implicit schemes;
Boundary conditions;
Conservative and non-conservative formulations of conservation laws;
Godunov type schemes and Riemann solvers;
Numerical schemes for solution of transport and diffusion equations in 1D;
Godunov type schemes for solution of Burgers’ equation and the shallow water equations;
Physics-informed neural networks;
Application to flooding and pollutant transport;
Workshops:
Finite difference and finite volume schemes for solution of flow and transport problems.
Optimisation and machine learning
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 10 | 1:00 | 10:00 | On practical exercises |
| Guided Independent Study | Assessment preparation and completion | 1 | 15:00 | 15:00 | Coursework |
| Scheduled Learning And Teaching Activities | Lecture | 10 | 1:00 | 10:00 | pre-recorded video lectures & accompanying notes. |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Written examination |
| Guided Independent Study | Assessment preparation and completion | 20 | 1:00 | 20:00 | Revision for exam |
| Scheduled Learning And Teaching Activities | Lecture | 20 | 1:00 | 20:00 | Delivery of core knowledge + worked examples |
| Guided Independent Study | Assessment preparation and completion | 5 | 1:00 | 5:00 | Reports on practical exercises |
| Guided Independent Study | Directed research and reading | 35 | 1:00 | 35:00 | Background reading (including recommended texts) and reading notes provided for a full understanding of material |
| Scheduled Learning And Teaching Activities | Practical | 8 | 1:30 | 12:00 | Workshops (computer labs) |
| Guided Independent Study | Directed research and reading | 20 | 1:00 | 20:00 | Review lecture material, answer practice questions provided |
| Guided Independent Study | Directed research and reading | 6 | 1:00 | 6:00 | Supplementary reading (notes provided) |
| Scheduled Learning And Teaching Activities | Small group teaching | 15 | 1:00 | 15:00 | Review online and in person lecture material, answer questions, review examples, preparation for practical exercises |
| Guided Independent Study | Skills practice | 30 | 1:00 | 30:00 | Use of software provided |
| Total | 200:00 |
Teaching Rationale And Relationship
Lectures allow knowledge transfer of the various numerical and modelling methods available for application in the hydraulics discipline, and computer-based practicals allow for consolidation of this knowledge prior to its application in the development of simple software and its application to given problems (which is carried out as coursework).
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 50 | Unseen written examination (M1, M2, M3, M13) |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 2 | M | 50 | Coursework based on practical exercises (M3, M4, M12, M13, M17) |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Report | 2 | M | 500 words - report associated with Workshops (computer labs) |
Assessment Rationale And Relationship
Assessed by written examination and coursework. This allows a student's knowledge and understanding of the methods introduced to be monitored, applied and tested.
Assessment is split between:-
(a) Practice questions worked through in lectures and workshops (formative);
(b) Coursework – Written reports of exercises carried out in workshops and extended to show understanding of higher order methods.
(c) Exam - Which assesses knowledge and skills in numerical and machine learning methods.
The rationale is to assess the students’ grasp of the practical skills and understanding represented by the knowledge outcomes. Practical submissions are assessed to emphasise importance of completion of the practical tasks for development of intended skills. The written exercise includes development of a numerical method which assesses skills in development of the methods and their limitations. The unseen exam assesses knowledge of numerical and machine learning methods applied to flooding and pollutant transport.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG8745's Timetable