Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Postgraduate Coursework
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
This course provides an advanced level of instruction and analysis on carbon and energy management principles and practices. Carbon and energy management is concerned with how society can best respond to climate change. A competent response to climate change requires a sound understanding of climate science and what the impacts of climate change are likely to be. A competent response to climate change also requires an understanding of how to manage different sources of carbon emissions, including the advantages and disadvantages of different power supply technologies and the management of carbon stocks in forests, soils and agriculture. We also need to know how to evaluate and compare the merits of different climate change response strategies and how Governments can promote effective responses through sound climate and energy policy. The course also includes instruction on a number of important carbon and energy management practices, such as carbon foot-printing, abatement and offset project design and appraisal, energy use auditing, alternative energy pathway design and appraisal, and emissions trading.
The course is structured around twelve important understandings of carbon and energy management. Those are;
(1) understanding how climate systems work;
(2) understanding the drivers and evidence of human-induced climate change;
(3) understanding the expected impacts of climate changeᅠand principles ofᅠclimate risk assessment and climate justice;
(4) understanding how the public and private sectors respondᅠto climate change;
(5) understanding carbon inventory including emissions by country and source, currently and historically, plus foot printing methods for countries, organisations, products and services;
(6) understanding the links between carbon, energy and sustainable electricityᅠsupply systems including key principles and terms,ᅠand issues of scale in sustainable electricity supply system design;
(7) understanding the advantages and disadvantages of power supply technologies including coal, oil and gas (conventional and unconventional), nuclear, hydroelectric, solar, wind, wave, tidal, geothermal and bioenergy and topics of special interest such as carbon capture and storage (including negative emissions technologies, direct air carbon capture and storage and bioenergy carbon capture and storage), hydrogen fuel, batteries and electric vehicles;
(8) understanding carbon stored in natural resources including methods to estimate carbon stocks and sequestration rates in soils and vegetation (particular planted and natural forests) and the opportunities and limitations for the use of nature-based responses to climate change including climate-smart agriculture;
(9) understanding carbon offsetting principles, processes and practise including major offsetting schemes, concepts of co-benefits, blue carbonᅠand REDD+;
(10) understanding methods to assess emissions reduction options including marginal abatement cost curves, basic project financial appraisal methods, total systems cost analysis for electricity supply systems, the social cost of carbon and the works of William Nordhaus;
(11) understanding climate and energy policy, including key international frameworks such as the UNFCCCᅠand related initiatives, insights from the history of climate and energy policy in Australia, and lessons from noteworthy initiatives such as the Australian Renewable Energy Targetᅠandᅠthe Green Climate Fund; and
(12) understanding the role ofᅠinsurance and finance in responses to climate change, including the influenceᅠof the Taskforce for Climate-related Financial Disclosures, and insights from government-led climate financeᅠinitiatives such as the Australian Clean Energy Finance Corporation.
Course requirements
Incompatible
You can't enrol in this course if you've already completed the following:
ENVM2522, ENVM1522 (co-taught).
Jointly taught details
This course is jointly-taught with:
- ENVM1522
The lectures are co-taught with ENVM1522.
ENVM7524 Internal and External practicals are co-taught using Zoom (live streaming, as well as being recorded).
Course contact
Course staff
Lecturer
Guest lecturer
Tutor
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
The aim of this course is to improve students' understanding of carbon and energy management to enable them to competently engage in responses to climate change.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Understand the basic principles of environmental - Demonstrate an understanding of key carbon and energy management competencies related to climate systems and drivers of climate change.
LO2.
Understand the basic principles of environmental - Demonstrate an understanding of key carbon and energy management competencies related to carbon inventory and the management of emissions reduction opportunities.
LO3.
Understand the basic principles of environmental - Demonstrate an understanding of key carbon and energy management competencies related to sustainable power supply systems.
LO4.
Understand the basic principles of environmental - Demonstrate an understanding of key carbon and energy management competencies related to carbon in natural resources.
LO5.
Understand the basic principles of environmental - Demonstrate an understanding of key carbon and energy management competencies related to carbon offsetting principles and practise, climate and energy policy and the role of insurance and finance in climate change responses.
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Practical/ Demonstration |
Practical Assessments
|
30% |
1) Assessment 15/08/2025 8:00 am 2) Assessment 22/08/2025 8:00 am 3) Assessment 29/08/2025 8:00 am 4) Assessment 5/09/2025 8:00 am 5) Assessment 12/09/2025 8:00 am 6) Assessment 19/09/2025 8:00 am 7) Assessment 26/09/2025 8:00 am 8) Assessment 10/10/2025 8:00 am 9) Assessment 17/10/2025 8:00 am 10) Assessment 24/10/2025 8:00 am |
Quiz |
Quiz 1
|
10% |
12/09/2025 2:00 pm |
Quiz |
Quiz 2
|
20% |
31/10/2025 2:00 pm |
Paper/ Report/ Annotation |
Case Study on Carbon Management
|
40% |
24/10/2025 2:00 pm |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Practical Assessments
- Team or group-based
- Online
- Mode
- Written
- Category
- Practical/ Demonstration
- Weight
- 30%
- Due date
1) Assessment 15/08/2025 8:00 am
2) Assessment 22/08/2025 8:00 am
3) Assessment 29/08/2025 8:00 am
4) Assessment 5/09/2025 8:00 am
5) Assessment 12/09/2025 8:00 am
6) Assessment 19/09/2025 8:00 am
7) Assessment 26/09/2025 8:00 am
8) Assessment 10/10/2025 8:00 am
9) Assessment 17/10/2025 8:00 am
10) Assessment 24/10/2025 8:00 am
- Other conditions
- Student specific.
Task description
There will be 10 submissions (3% each) based on the questions in the practicals. Students are to work in a group to answer the questions, however they must answer the questions individually.
(Recommended structure - 3% is divided into roughly 3 questions)
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Quiz 1
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 10%
- Due date
12/09/2025 2:00 pm
Task description
Quiz 1 - Based on weeks 1 - 6 (Quiz in week 7)
This will have MCQ questions based on the lectures and practicals.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Quiz 1 is to be taken online through Blackboard. The quiz window will be open for 5 days (Monday to Friday) in Week 7 and students must take the quiz within this period by the due date. The quiz has a time limit of 20 minutes once a student accesses the quiz.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Quiz 2
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 20%
- Due date
31/10/2025 2:00 pm
Task description
Quiz 2 - Based on weeks 1-12 (Quiz in week 13)
This will have MCQ questions based on the lectures of the entire course and practicals.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Quiz 2 is to be taken online through Blackboard. The quiz window will be open for 5 days (Monday to Friday) in Week 13 and students must take the quiz within this period by the due date. The quiz has a time limit of 30 minutes once a student accesses the quiz.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Case Study on Carbon Management
- Hurdle
- Online
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 40%
- Due date
24/10/2025 2:00 pm
Task description
Note: The assessment for ENVM7524 is different to ENVM1522. The assessment for ENVM7524 is set for Masters-level expectations and learning outcomes. Be sure to read the assignment instructions and criteria carefully. They differ from the assignment instructions and criteria used for ENVM1522 in numerous ways.
1. Preface
Many firms are responding to society’s call for action on climate change by going ‘carbon neutral’. Indeed, terms like ‘carbon neutral’, ‘net zero’ and ‘carbon positive’ are often used interchangeably to describe how a firm estimates its reportable greenhouse gas emissions and then takes steps to reduce those emissions. Firms can emit and reduce emissions at different scales, have different emissions reduction priorities, use different emissions reduction methods and be at different stages in their pathway towards having zero net reportable emissions. In this assignment you will examine how a specified firm has estimated and reduced its reportable emissions. The objective is for you to develop and demonstrate your understanding of the actions and issues involved in the process of carbon management.
2. Task Instructions, Word Limit and Report Structure
- Each student will be assigned (via blackboard) a case study firm by the end of Week 1.
- Each student is required to complete the assignment on their assigned case study firm.
- No two students should complete the assignment on the same case study firm.
- Students who enroll after Week 1 or for whatever reason have not been assigned a case study firm by the end of Week 1, must email the course coordinator as soon as possible so they can be assigned a case study firm.
- Your task is to examine how your case study firm has estimated and reduced its reportable greenhouse gas emissions. To do this, you must follow the Report Structure outlined below and include the content listed in the Report Structure below for each relevant section.
- Case studies are a research method commonly used in environmental management. The format of case study analysis varies based on the research purpose and context. In this assignment, follow the Report Structure provided below. Case study analysis allows detailed examination and explanation of an interesting example of an important and often complex phenomenon. In this assignment, the interesting example is your case study firm, and the phenomenon is how the firm engages in the process of estimating and reducing its net reportable greenhouse gas emissions.
- The recommended word length for the assignment is 3500 words. This excludes the title, abstract, all figures and tables and their titles, footnotes, citations, and the reference list. There is no penalty for exceeding the recommended word limit.
- Your report must follow the Report Structure. Please see Blackboard for the full assessment criteria.
In this, students are expected to select a company of their interest and do a report demonstrating their understanding of the course.
Use of Artificial Intelligence (AI) and Machine Translation (MT)
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
See ADDITIONAL COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Submission guidelines
Online submission by Turnitin only by the due date and time. No hard copy or assignment cover sheets are required. Submission via email is not accepted.
Deferral or extension
You may be able to apply for an extension.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item, then 10% of the maximum possible mark for the assessment item (the assessment ‘marked from’ value) will be deducted as a late penalty for every day (or part day) late after the due date.
For example, if you submit your assignment 1 hour late, you will be penalised 10%; if your assignment is 24.5 hours late, you will be penalised 20% (because it is late by one 24-hour period plus part of another 24-hour period).
Course grading
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 0% |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 30% |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: The minimum percentage required for this grade is: 45% |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 50% |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 65% |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 75% |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: The minimum percentage required for this grade is: 85% |
Additional course grading information
In order to pass this course, you must meet the following requirements (if you do not meet these requirements, the maximum grade you will receive will be a 3):
- Students must obtain 45% or more on the Case Study on Carbon Management.
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to the UQ website for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Applications for Extensions to Assessment Due Dates
Read the information contained in the following links carefully before submitting an application for extension to assessment due date.
For guidance on applying for an extension, information is available here: https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/applying-assessment-extension
For the policy relating to extensions, information is available here (Part D): https://policies.uq.edu.au/document/view-current.php?id=184
Please note the University's requirements for medical certificates here: https://my.uq.edu.au/information-and-services/manage-my-program/uq-policies-and-rules/requirements-medical-certificates
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
Learning period | Activity type | Topic |
---|---|---|
Lecture |
Week 1 Introduction, Course Overview, Responses to Climate Change |
|
Lecture |
Week 2 Carbon Inventory 1 |
|
Lecture |
Week 3 Carbon Inventory 2 |
|
Lecture |
Week 4 No class - public holiday |
|
Lecture |
Week 5 Sustainable Power Supply Systems 1 |
|
Lecture |
Week 6 Sustainable Power Supply Systems 2 |
|
Lecture |
Week 7 Sustainable Power Supply Systems 3 |
|
Lecture |
Week 8 Carbon in Natural Ecosystems |
|
Lecture |
Week 9 Carbon Offsets |
|
Lecture |
Mid Semester Break (no classes) |
|
Lecture |
Week 10 Climate Risk and the Finance Sector |
|
Lecture |
Week 11 Climate and Energy Policy, Abatement Options Appraisal |
|
Lecture |
Week 12 Emissions Trading Simulation |
|
Lecture |
Week 13 Climate Risk and Climate Finance |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.