Module manager: Prof Simon Shepherd
Email: S.P.Shepherd@its.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is not approved as an Elective
This module develops an understanding of the structure and dynamics of complex systems primarily in the field of transport. Students will learn how to apply causal loop techniques enabling them to communicate ideas and model structures effectively. Practical application skills will be developed through coursework based on the VENSIM system dynamics platform developing quantitative modelling techniques applied to real life policy examples such as policies designed to influence the adoption rate of alternative fuel vehicles.
To develop students’ understanding of the concept of system dynamics and systems thinking within a transportation context. To understand how to conceptualise a system dynamics model, and how to form basic causal loop diagrams, and stock-flow models.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. develop and understand how to conceptualise a model and understand the structure and dynamics of complex systems.
2. apply causal loop techniques enabling them to communicate ideas and model structures effectively.
3. understand underlying behaviour of dynamic systems and the concepts of stocks and flows.
4. practical application skills will be developed through coursework based on the VENSIM system dynamics platform and coursework aimed at developing quantitative modelling techniques and apply these techniques to real-life policy examples, e.g. policies to affect the take up of alternative fuel vehicles.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
5. Digital: Ability to research data and relevant research articles to support model development.
6. Academic: Critical thinking, referencing, academic writing.
7. Technical: Able to implement a quantitative model.
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lectures | 9 | 1 | 9 |
| seminars | 1 | 2 | 2 |
| Practicals | 9 | 1 | 9 |
| Independent online learning hours | 30 | ||
| Private study hours | 100 | ||
| Total Contact hours | 20 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students will be monitored via two courseworks. The first will develop their understanding of causal loop diagrams and be based on group work in class. The second coursework involves understanding a piece of work from a journal paper and developing a model
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 20 |
| Assignment | Coursework | 80 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/17/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team