Course Title: Sustainable Systems Design

Part A: Course Overview

Course Title: Sustainable Systems Design

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020

Course Coordinator: Peter Stasinopoulos

Course Coordinator Phone: +61 3 9925 4509

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

This project based learning course is an introduction to systems thinking and dynamical modelling. It covers the theory and concepts of the approach, and the mathematics and tools of the modelling. Applications span the domains of society, the environment, and the economy. Coursework emphasises an appreciation of the roles of users, technology, resources, investment, and policy in the design of high leverage interventions that improve system behaviour. Skills developed are applied to projects.   

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes: 1.4.Discernment of knowledge development and research directions within the engineering discipline. 1.5. Knowledge of contextual factors impacting the engineering discipline. 1.6. Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline. 2.2. Fluent application of engineering techniques, tools and resources. 3.2. Effective oral and written communication in professional and lay domains. 3.3. Creative, innovative and proactive demeanour. 3.4. Professional use and management of information.

Course Learning Outcomes (CLOs)

On completion of this course you should be able to:

1. Apply systems thinking to address complex problems 2. Argue the usefulness of dynamical modelling for the analysis of specific problems 3. Conceptualise, formulate, test, and run a simulation model of complex problems using specialist software 4. Analyse system behaviour using mathematical techniques and software 5. Design interventions that improve system behaviour  

Overview of Learning Activities

The textbook, lectures and workshops will support the project-based learning approach in this course.

Overview of Learning Resources

Textbook and online learning resources.

Overview of Assessment

X This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

Assessment tasks

Early Assessment Task: Workshop
Weighting 30%
This assessment task supports CLOs 1-5

Assessment Task 2: Group project
Weighting 40%
This assessment task supports CLOs 1-5

Assessment 3: Individual project
Weighting 30% 
This assessment supports CLOs 1-5