Climate & Environmental Science MSc
Modelling Water Environments GEOG5117
- Academic Session: 2026-27
- School: School of Geographical and Earth Sciences
- Credits: 20
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
This course covers the following aspects of monitoring sustainable water environments:
■ Modelling and predicting water and sediment fluxes from catchment to coast.
■ Theoretical basis for hydrodynamics, sediment transport and morphological change.
■ Principles of modelling across spatial and temporal scales.
■ Use of modelling in sustainable environmental management decision making.
Timetable
Weeks 1 to 7: 2 hour lecture (weekly) plus 2 hour computer lab class (weekly)
Week 8: 2 hour lecture, 2 hour oral presentations
Weeks 9-10: 4 hour computer lab class (weekly)
Excluded Courses
None
Co-requisites
GEOG5019 Principles of GIS or equivalent
Assessment
1. An essay of no more than 2,000 words based on a theme introduced in the lecture material. (40%)
2. Short oral presentation on project proposal. (10%)
3. A report of no more than 2,000 words that uses the techniques developed in one of the practical exercises to address an applied problem. (50%)
Main Assessment In: April/May
Course Aims
The course aims to provide students with understanding of the principles governing modelling of water bodies.
The course emphasises fundamental principles of modelling, applied across a range of water environments.
The course focuses upon approaches to using modelling frameworks to model water systems in order to provide information to inform decision-making analysis and to assess uncertainty.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ articulate the fundamental principles of modelling;
■ explain controls on hydrodynamics, sediment flux and morphological change;
■ describe the principles governing model selection as a function of temporal and spatial scales;
■ conduct numerical analyses using standard software, to predict water flow and sediment flux in catchment and coastal environments;
■ explain the consequences of changes in water and sediment supply in coastal and fluvial systems;
■ explain the principles of uncertainty evaluation;
■ analyse data to support decision making in an applied environmental management context;
■ critically evaluate literature on modelling.