Outline

Overview

Industrial Ecology is a cross-disciplinary research field. This unit will provide an introduction to the principles and applications of Industrial Ecology, with a focus on understanding the complexity and interconnectedness between economic and environmental systems. The unit will explore goals and methods of Industrial Ecology, with an emphasis on concrete applications, such as renewable energy systems, waste generation, recycling and industrial symbiosis, urban sustainability, and many more. Through these examples students will gain a thorough understanding of the usefulness of Industrial Ecology principles and approaches, for example in quantitative assessments of environmental impact and social risk, design of environmental economic policy and energy systems, and urban sustainability planning. Students will be introduced to the Industrial Ecology Virtual Laboratory technology newly developed at the School of Physics. Students will walk away from this unit equipped with all skills needed to undertake their own environmental, social and economic Industrial Ecology projects in the virtual laboratory.

Unit details and rules

Academic unit	Physics Academic Operations
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Arne Geschke, arne.geschke@sydney.edu.au
Lecturer(s)	Arne Geschke, arne.geschke@sydney.edu.au

Type	Description	Weight	Due	Length
Tutorial quiz	Quizzes Multiple choice quizzes	20%	Multiple weeks	10 minutes
Outcomes assessed:
Assignment	Assignment 1 Paper review and presentation	40%	Week 05	n/a
Outcomes assessed:
Assignment	Assignment 2 Simulated consulting report	40%	Week 13	n/a
Outcomes assessed:
= group assignment ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Welcome and state of the union: a planet on its way to being ruined	Lecture and tutorial (2 hr)
Week 02	The origins and evolution of Industrial Ecology and how it links to current problems	Lecture and tutorial (2 hr)
Week 03	The Circular Economy I: Concepts, challenges, outlook	Lecture and tutorial (2 hr)
Week 04	IE measures in water supply systems Guest lecturer: Dr Fabian Sack (Sustainably)	Lecture and tutorial (3 hr)
Week 05	The Circular Economy II – (Assessment 1)	Lecture and tutorial (2 hr)
Week 06	1. Introduction to environmental impact assessment I; 2. Multiple choice quiz 1	Lecture and tutorial (2 hr)
Week 07	Introduction to environmental impact assessment II: global and multi-regional impact assessment	Lecture and tutorial (2 hr)
Week 08	Sustainable investments Guest lecturer: Dr Michael du Plessis (GreenIce)	Lecture and tutorial (2 hr)
Week 09	Introduction to the Australian Industrial Ecology Virtual Laboratory	Lecture and tutorial (2 hr)
Week 10	Targeting value chains to align with climate change science; Guest lecturer: Chris Wilson, Pangolin & Associates	Lecture and tutorial (2 hr)
Week 11	Workshop: using the AusIELab for assessment	Lecture and tutorial (2 hr)
Week 12	IELab at the global policy level: The IPCC and IPBES; final AusIELab Q&A; and multiple-choice quiz 2	Lecture and tutorial (2 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed on the Library eReserve link available on Canvas.

Ristinen and Kraushaar (1999 & 2006) “Energy and the Environment”, John Wiley and Sons, New York, offers a good background to the course. Some copies may be available from bookshops.
D.B. Botkin and E.A. Keller (2000), "Environmental Science: Earth as a living planet", various editions, John Wiley & Sons, New York.
E. Boeker and R. van Grondelle (1995) “Environmental Physics”, John Wiley & Sons. for a very basic (but still useful) general introduction to energy, see Millennium Science: a course of lectures given at the 30th Professor Harry Messel International Science School, University of Sydney,1999. Chapters 5 and 6.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. be familiar with the field of IE and its scope of application generally
LO2. be aware of the profound importance of thriving natural ecosystems for sustainable economies
LO3. understand fundamental data processing concepts and to analyse environmental-economic interdependencies
LO4. undertake basic calculations to identify such interdependencies
LO5. use the Australian Industrial Ecology Virtual Laboratory (IELab) environment to carry out calculations and analyses
LO6. demonstrate critical thinking in the seminars and in essays on topics relating different scientific aspects of industrial ecology
LO7. argue coherently for a particular point of view, both verbally and in a written form
LO8. do simple but comprehensive and complete analyses for problems arising within the industrial ecology context.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

no major changes compared to last year

Additional information

The School of Physics recognises that biases and discrimination, including but not limited to those based on gender, race, sexual orientation, gender identity, religion and age, continue to impact parts of our community disproportionately. Consequently, the School is strongly committed to taking effective steps to make our environment supportive and inclusive and one that provides equity of access and opportunity for everyone.

The School has three Equity Officers as a point of contact for students and staff who may have a query or concern about any issues relating to equity, access and diversity. If you feel you have been treated unfairly, bullied, discriminated against or disadvantaged in any way, you are encouraged to talk to one of the Equity Officers or any member of the Physics staff.

More information can be found at https://sydney.edu.au/science/schools/school-of-physics/equity-access-diversity.html

Any student who feels they may need a special accommodation based on the impact of a disability should contact Disability Services:

http://sydney.edu.au/current_students/disability/ who can help arrange support.

Site visit guidelines

A field trip is currently being planned. More information will be published on Canvas.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Site visit guidelines

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

PHYS4801: Industrial Ecology

Semester 1, 2022 [Normal day] - Remote

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Site visit guidelines

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect