Course overview
- Study period
- Semester 1, 2026 (23/02/2026 - 20/06/2026)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- The Environment School
Fisheries and aquaculture represent the largest source of dietary protein and are pivotal in current food
security. The science of sustainable management of these precious resources is therefore critical in the global grand challenge of sustainable future food security. This course provides advanced level content in the biology and mathematics of fisheries and aquaculture, including fish reproductive biology and dispersal, mathematical modeling and stock assessment, fish nutrition, health and genetics in aquaculture and fisheries. Students will produce a cohesive, evidence-based scientific discourse on the potential placement of fish and fisheries, both capture and aquaculture, in future global food security and poverty alleviation. For this they will draw extensively on the relevant biological sciences and mathematics and show adaptability and application in a changing economic and ecological framework. Excellent students should be able to demonstrate substantial unexpected extension in their critical analysis and thinking and in how they apply their in-depth knowledge and communicate it to a broader scientifically literate audience.
The contribution of fisheries and aquaculture to current and future food security is substantial and currently represents the largest single source of dietary protein. The science of sustainable management of these precious resources is therefore critical in the Global Grand Challenge of sustainable food security.
Course requirements
Assumed background
Students should have completed BIOL2006 and MARS2001 before enrolling in this course.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
MARS2001
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
BIOL2006 or BIOL2106
Incompatible
You can't enrol in this course if you've already completed the following:
BIOL3228
Course contact
Course staff
Lecturer
Tutor
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
Fish, fisheries and aquaculture provides a basis of students to understand the technical background to sustainable management and operation of fisheries and aquaculture for future food security. Through workshops and laboratories, students should be able to explain in depth the strengths and limitations of of different practices and policies by drawing reference to the underlying biology and mathematics.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Link key features of aquatic animal biology (genetics, reproduction, movement, feeding, predator/prey) to natural environment and contained system productivity
LO2.
Use mathematical skills to model and predict performance of fisheries and aquaculture production systems
LO3.
Write accurate and balanced, well supported science for a general educated and scientifically literate audience appropriate to communicating a rationale argument around sustainable development
LO4.
Use online information sources to work case studies in small groups to solve problems based on food security and sustainability
LO5.
Effectively interpret and evaluate complex field-specific written material and articles
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation | Fisheries Biology/Ecology: Fish lab report | 15% |
31/03/2026 5:00 pm |
| Paper/ Report/ Annotation | Fisheries Models: Fisheries workshop write-up | 20% |
15/04/2026 5:00 pm |
| Paper/ Report/ Annotation, Translation/ Interpretation |
Aquaculture assessment topics
|
15% (5% each) |
Water quality: 21/04/2026 5:00 pm Nutrition: 5/05/2026 5:00 pm Genetics: 19/05/2026 5:00 pm |
| Essay/ Critique, Presentation |
Final assignment
|
50% |
Take home Assignment: 8/06/2026 12:00 pm In-person interview: Mon -Fri 11:00-13:30 15/06/2026 |
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
Fisheries Biology/Ecology: Fish lab report
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 15%
- Due date
31/03/2026 5:00 pm
Task description
Short laboratory/workshop report on the fish biology practical and workshop components.
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.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.
Submission guidelines
Online submission by Turnitin only by the due date. No hard copy or assignment cover sheets required.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
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 (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).
Fisheries Models: Fisheries workshop write-up
- Mode
- Written
- Category
- Paper/ Report/ Annotation
- Weight
- 20%
- Due date
15/04/2026 5:00 pm
Task description
Write up fisheries modelling data workshop (~3 pages not including tables, figures and references).
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.
To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.
Submission guidelines
You must submit the report and the model spreadsheet via individual Turnitin links made available in Blackboard. Online submission by Turnitin only by the due date. No hard copy or assignment cover sheets required.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
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 (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).
Aquaculture assessment topics
- Online
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Translation/ Interpretation
- Weight
- 15% (5% each)
- Due date
Water quality: 21/04/2026 5:00 pm
Nutrition: 5/05/2026 5:00 pm
Genetics: 19/05/2026 5:00 pm
Task description
Water Quality: Provide a summary of the data from the on-line practical and answer the questions on the practical sheet.
Nutrition: Here you will assess fictional feed trial reports to rank them in order of completeness and to spot the missing information
Genetics: This assessment requires careful reading of scientific papers in order to answer a series of short answer questions. Some of the questions will be answerable directly from the papers. Others you will need to draw inference from the sum of information across multiple sources. This is test of comprehension rather than recall and will help to develop interpretation and explanation skills.
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. No hard copy or assignment cover sheets required.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
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 (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).
Final assignment
- Hurdle
- Identity Verified
- In-person
- Online
- Mode
- Oral, Written
- Category
- Essay/ Critique, Presentation
- Weight
- 50%
- Due date
Take home Assignment: 8/06/2026 12:00 pm
In-person interview: Mon -Fri 11:00-13:30 15/06/2026
- Other conditions
- Secure.
Task description
Take home assignment: (Open essay question) - question provided to students in Week 12, to do at home and submit via Turnitin by the indicated due date.
In-person interview: (10 min, 2-4 questions from examiners, student to ask 2 in-depth questions on subject material of the essay). Interview performance may increase or decrease your essay grade based on knowledge of the field demonstrated in the interview. Interviews will be held during the second week of the examination period.
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 information relating to this assessment item.Submission guidelines
Take home assignment to be submitted online via Turnitin by the indicated due date. No hard copy or assignment cover sheets required. Take-home assignment must be submitted before the students can be scheduled for the in-person interview.
In-person interview will be arranged via Zoom. Students will be allocated a time during Exam Week 2. If the student is unable to attend the in-person interview as scheduled, please contact the course coordinator directly to arrange an alternative.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
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 (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
Assessment Hurdle
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):
You must obtain 50% or more on the Final Assignment.
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 link above 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.
Other course materials
If we've listed something under further requirement, you'll need to provide your own.
Required
| Item | Description | Further Requirement |
|---|---|---|
| Laboratory coat | A laboratory coat suitable for work in a PC2 laboratory | own item needed |
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 |
|---|---|---|
Week 1 (23 Feb - 01 Mar) |
Workshop |
Course Intro/Fish Biol Workshop 1 (Andy & Ian) Course Introduction. Seas of Slaughter: The fished, the fishers and their failure. Seafood survey planning exercise. |
Practical |
Fish biology Practical 1 (Ian Tibbetts) Frozen seafood survey data collation, analysis and develop Class Infographic |
|
Week 2 (02 Mar - 08 Mar) |
Fieldwork |
Fish Biology workshop 2 (Ian Tibbetts) Field trip to EcoSciences Precinct, Boggo Road: Queensland Fisheries Labs (Closed shoes) |
Practical |
Fish Biology Practical 2 (Ian Tibbetts) Reproduction, development and growth, migration, recruitment |
|
Week 3 (09 Mar - 15 Mar) |
Workshop |
Fish Biology Workshop 3 (Ian Tibbetts) Fisheries ecology and sustainability |
Practical |
Fish Biology Practical 3 (Ian Tibbetts) The Fish Pit: general anatomy, diet, reproduction, length-weight relationship, otolith extraction. (Closed shoes/ Lab coat) |
|
Week 4 (16 Mar - 22 Mar) |
Workshop |
Fisheries modelling 1 (Anthony Richardson) |
Workshop |
Fisheries Modelling 2 (Anthony Richardson) The logistic model and maximum sustainable yield |
|
Week 5 (23 Mar - 29 Mar) |
Workshop |
Fisheries Modelling 3 (Anthony Richardson) The logistic model and stability |
Workshop |
Fisheries modelling 4 (Anthony Richardson) The logistic model and stochasticity. Age-structured models |
|
Week 6 (30 Mar - 05 Apr) |
Workshop |
Aquaculture W1 - Systems think tank (Andy Barnes) Intro to SOLO method for marking answers to open questions. |
No student involvement (Breaks, information) |
Good Friday Good Friday |
|
Week 7 (13 Apr - 19 Apr) |
Workshop |
Aquaculture W2 - Aquaculture nutrition (Andy Barnes) Animal requirements. Essential, semi-essential nutrients. Ingredient sources and quality. |
Practical |
Aquaculture P1 - water quality (Andy Barnes) Concepts: Water chemistry. Quality measurement, drivers of water quality change. Mitigation. |
|
Week 8 (20 Apr - 26 Apr) |
Workshop |
Aquaculture W3 - Feed trials (Andy Barnes) Concepts: Statistical models for trial design, power analysis, variables, scalability. |
Practical |
Aquaculture P2 - Diagnostic tests Can you sequence a genome in an afternoon? Online content: Management of animal health in aquaculture. Vaccination principles and practice |
|
Week 9 (27 Apr - 03 May) |
Workshop |
Aquaculture W4 - Aquatic animal health (Andy Barnes) Concepts: Social, environmental and economic effects of disease. Disease processes, immunology and disease resistance |
Practical |
Aquaculture P3 - diagnostic tests 2 Continuation of diagnostic practical |
|
Week 10 (04 May - 10 May) |
Case-based learning |
Aquaculture W5 - Case studies in fish health (Andy Barnes) Group Workshop: Integration of disease process and ecosystem knowledge to identify cause and design preventative measures. Work up the case study, prepare to present the case to the rest of the class |
Workshop |
Aquaculture W6 - Genetics and breeding Online content: Quantitative traits, marker assisted selection, genomic selection. |
|
Workshop |
Aquaculture W7 - Genetics and breeding Online content: Effective breeding number; hatchery practices; new technology |
|
Week 11 (11 May - 17 May) |
Fieldwork |
Aquaculture F2 - Field Trip Why do we model fisheries? Density-dependent and density-independent growth. The exponential model. |
Week 12 (18 May - 24 May) |
Workshop |
Final essay drop in session A drop in session to discuss ideas and progress in your final essay |
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
- AI for Assessment Guide
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.