Skip to menu Skip to content Skip to footer
Course profile

Fish, Fisheries & Aquaculture (BIOL3340)

Study period
Sem 1 2026
Location
St Lucia
Attendance mode
In Person

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
  • Online
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
  • Hurdle
  • Identity Verified
  • In-person
  • Online
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.

See the conditions definitions

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
Clear filters
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.
Concepts: catering for aquatic animal biology in production systems - group work

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: design a simple breeding program for quantitative traits

Workshop

Aquaculture W7 - Genetics and breeding

Online content: Effective breeding number; hatchery practices; new technology
Workshop: The great GMO debate

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:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.