Available in 2018

Course handbook

Description

Traditional approaches to environmental management assume social-ecological systems (SESs) can be managed or controlled optimally and respond linearly and predictably. Yet this approach has repeatedly resulted in persistent environmental policy failure and/or resource management failure because the importance of maintaining overall system resilience has not been recognised. Resilience thinking and environmental complexity are theories which can inform better environmental management but are not commonly utilised in practice. The application of these theoretical approaches is a new and emerging field, both in Australia and internationally. This course will build students expertise so that they are able to apply resilience thinking and complexity theory through a simulated work place setting. It will give students the skills which are topical, relevant and in-demand in the Australian and international workforce. Students will be supported to learn how to apply new skills to a system case study.


Availability2018 Course Timetables

WebLearn GradSchool

  • Trimester 1 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. Critically evaluate key components of resilience, environmental complexity and systems thinking.

2. Apply resilience, environmental complexity and systems thinking to analyse a real world case study.

3. Make policy recommendations for the management of a read world case study.

4. Appropriately communicate the findings of their analysis and management to a non-specialist audience

5. Work individually and as an integral part of a team.


Content

Topics will include:

  • stakeholder analysis,
  • conceputal systems thinking,
  • scenario planning,
  • governance, and
  • policy robustness.

Assumed knowledge

ENVS6530 or ENVS6525


Assessment items

Project: Group research project

Project: Individual research communication project

Journal: Reflective journal


Contact hours

WebLearn GradSchool

Self-Directed Learning

Self-Directed 10 hour(s) per Week for Full Term