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Unit of study_

PHYS5033: Environmental Footprints and IO Analysis

2024 unit information

This unit of study will provide students with practical skills for carrying out environmental footprinting calculations: for individuals, companies, organisations or nations. In particular, this unit will provide a comprehensive introduction to input-output analysis for identifying impacts embodied in regional, national and global supply chains. This unit focuses on contemporary environmental applications such as emissions, energy-use, water, land, loss of animal and plant species; and also social applications such as employment, poverty and child labour. The unit first explores national and global economic and environmental accounting systems and their relationships to organisational accounting. Second, it presents cutting-edge techniques enabling the global analysis of environmental and social impacts of international trade. Third, it offers hands-on practical activities for mastering the input-output techniques conceived by Nobel Prize Laureate Wassily Leontief, and provides a step-by-step recipe for undertaking boundary-free environmental and social footprinting for sectors and organisations. Students will walk away from this unit equipped with useful skills needed to calculate footprints, and prepare sustainability reports for any organisation, city, region, or nation, using organisational data, economic input-output tables and environmental accounts. Students will also benefit from enrolling in PHYS5034 for a sound understanding of the role of input-output analysis within the field of Life-Cycle Assessment.

Unit details and rules

Managing faculty or University school:

Physics Academic Operations

Code PHYS5033
Academic unit Physics Academic Operations
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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None

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

  • LO1. appreciate the national accounts and their role in society
  • LO2. brush-up your linear algebra and matrix operations skills
  • LO3. understand the fundamentals of input-output theory and environmental extensions
  • LO4. understand the workings of economic demand-pull model
  • LO5. understand the applications of input-output analysis to environmental issues
  • LO6. deepen your knowledge of multi-region input-output models, applications of footprinting and MATLAB for sustainability assessments
  • LO7. apply input-output analysis to applications from a range of disciplines
  • LO8. apply input-output analysis to business settings.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Semester 2 2024
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 1 2020
Normal day Camperdown/Darlington, Sydney
Semester 2 2020
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Remote
Semester 2 2021
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Remote
Semester 1 2022
Normal day Camperdown/Darlington, Sydney
Semester 1 2022
Normal day Remote
Semester 2 2022
Normal day Camperdown/Darlington, Sydney
Semester 2 2022
Normal day Remote
Semester 1 2023
Normal day Camperdown/Darlington, Sydney
Semester 1 2023
Normal day Remote
Semester 2 2023
Normal day Camperdown/Darlington, Sydney

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.

Important enrolment information

Additional advice

Minimum class size of 5 students.