Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Mathematics & Physics School
Mathematical biology is an approach to understanding biological processes that is growing very rapidly in importance. It deals with mathematical models of biological phenomena in such diverse areas as neuroscience, physiology, ecology, genetics and medicine. Unlike many phenomena in the physical sciences to which mathematics has been widely and successfully applied for a very long time, biological phenomena tend to be characterized by a high degree of variability and complexity. The challenge in modelling them typically lies in identifying a small enough set of variables or aspects for the mathematics to be tractable, without failing completely to capture the essence of what is happening. Unlike in many mathematics courses where much time is spent on finding solutions to well-defined mathematical problems, in this course a significant amount of time will be spent on the art of constructing models of biological systems, and also on the interpretation of solutions of these new sorts of models.
While this will inevitably involve learning some specific biology, the ability to turn complicated biological phenomena into tractable mathematical models is widely applicable, also beyond Biology. The mathematics used will include ordinary and partial differential equations, probability and statistics.
Mathematical biology is an approach to understanding biological processes that is growing very rapidly in importance. It deals with mathematical models of biological phenomena in such diverse areas as neuroscience, physiology, ecology, genetics and medicine. Unlike many phenomena in the physical sciences to which mathematics has been widely and successfully applied for a very long time, biological phenomena tend to be characterized by a high degree of variability and complexity. The challenge in modelling them typically lies in identifying a small enough set of variables or aspects for the mathematics to be tractable, without failing completely to capture the essence of what is happening. Unlike in many mathematics courses where much time is spent on finding solutions to well-defined mathematical problems, in this course a significant amount of time will be spent on the art of constructing models of biological systems, and also on the interpretation of solutions of these new sorts of models.
While this will inevitably involve learning some specific biology, the ability to turn complicated biological phenomena into tractable mathematical models is widely applicable, also beyond Biology. The mathematics used will include ordinary and partial differential equations, probability and statistics.
In the School of Mathematics and Physics we are committed to creating an inclusive and empowering learning environment for all students. We value and respect the diverse range of experiences our students bring to their education, and we believe that this diversity is crucial for fostering a rich culture of knowledge sharing and meaningful exploration. We hold both students and staff accountable for actively contributing to the establishment of a respectful and supportive learning environment.
Bullying, harassment, and discrimination in any form are strictly against our principles and against UQ Policy, and will not be tolerated. We have developed a suite of resources to assist you in recognising, reporting, and addressing such behaviour. If you have any concerns about your experience in this course, we encourage you to tell a member of the course teaching team, or alternatively contact an SMP Classroom Inclusivity Champion (see Blackboard for contact details). Our Inclusivity Champions are here to listen, to understand your concerns, and to explore potential actions that can be taken to resolve them. Your well-being and a positive learning atmosphere are of utmost importance to us.
Course requirements
Assumed background
During the course you will be expected to acquire aᅠgeneral understanding of relevantᅠbiological processes, and to learn and apply a variety of different mathematical modelling approaches to understanding these processes. You will be expectedᅠto write numerical programs to simulate the mathematical models.ᅠ
Prerequisites
You'll need to complete the following courses before enrolling in this one:
MATH2100
Incompatible
You can't enrol in this course if you've already completed the following:
MATH7134
Jointly taught details
This course is jointly-taught with:
MATH3104 and MATH7134 are co-badged courses and will share learning activities. MATH7134 will have some differences in assessment to evaluate students at
Level 9 (Masters) of the Australian Qualifications Framework.
Course contact
Course staff
Lecturer
Tutor
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
All classes will be conducted on campus. Consult your personal timetable for times and locations. Students are expected to attend these sessions in person unless they have a valid reason for being unable to attend (such as illness).
Aims and outcomes
The course aims to provide you with an understanding of the mathematical modelling process applied to biological systems.ᅠ You will learn how to build models, howᅠto use existing models, and how to interpret their solutions.ᅠ You will develop an understanding of the advantages and disadvantages of different approaches to given problems in mathematical biology, and an appreciation of the scientific method as applied in this discipline.ᅠMATH3104 and MATH7134 are co-badged courses and will share learning activities. MATH7134 will have some differences in assessment to evaluate students at Level 9 (Masters) of the Australian Qualifications Framework.ᅠ
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Transfer a biological hypothesis into a mathematical representation
LO2.
Understand how models can be used to gain understanding of complex systems and to make predictions
LO3.
Understand the advantages and disadvantages of different types of models
LO4.
Create simple models of biological processes
LO5.
Interpret the solutions of models
LO6.
Write simple programs using MATLAB to solve mathematical problems that arise in models
Assessment
Assessment summary
Category | Assessment task | Weight | Due date |
---|---|---|---|
Computer Code, Tutorial/ Problem Set |
Assignments
|
48% Each assigment bears 8% weight in the aggregated mark. |
14/03/2025 2:00 pm 28/03/2025 2:00 pm 11/04/2025 2:00 pm 2/05/2025 2:00 pm 16/05/2025 2:00 pm 30/05/2025 2:00 pm |
Examination |
Final exam
|
52% |
End of Semester Exam Period 7/06/2025 - 21/06/2025 |
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
Assignments
- Online
- Mode
- Written
- Category
- Computer Code, Tutorial/ Problem Set
- Weight
- 48% Each assigment bears 8% weight in the aggregated mark.
- Due date
14/03/2025 2:00 pm
28/03/2025 2:00 pm
11/04/2025 2:00 pm
2/05/2025 2:00 pm
16/05/2025 2:00 pm
30/05/2025 2:00 pm
- Learning outcomes
- L01, L02, L04, L05, L06
Task description
You will be asked to use and/or write programs related to the lecture material.
Submission guidelines
Please submit your assignment electronically on Blackboard
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Solutions for assessment item/s will be released 7 days after the assessment is due and as such, an extension after 7 days will not be possible.
See ADDITIONAL ASSESSMENT INFORMATION for extension and deferred examination information relating to this assessment item.
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 a penalty of 10% of the maximum possible mark allocated for the assessment item will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24 hour block is recorded from the time the submission is due.
Final exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 52%
- Due date
End of Semester Exam Period
7/06/2025 - 21/06/2025
- Learning outcomes
- L01, L02, L03, L04, L05
Task description
You will be asked to use and/or write computer programs related to the lecture material.
Hurdle requirements
Hurdle information can be found in the course grading criteriaExam details
Planning time | 10 minutes |
---|---|
Duration | 120 minutes |
Calculator options | Casio FX82 series calculator only |
Open/closed book | Closed Book examination - no written materials permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
Submission guidelines
The examination will be invigilated and on campus. Further details will be provided to students before the examination period.
Deferral or extension
You may be able to defer this exam.
See ADDITIONAL ASSESSMENT INFORMATION for extension and deferred examination information relating to this assessment item.
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: Overall weighted marks less than 20%. |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: Overall weighted marks of at least 20%. |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Overall weighted marks of at least 45%, and at least 35% on the final exam. |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: Overall weighted marks at least 50%, and at least 40% on the final exam. |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: Overall weighted marks at least 65%, and at least 55% on the final exam. |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Overall weighted marks at least 75%, and at least 65% on the final exam. |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Overall weighted marks at least 85%, and at least 75% on the final exam. |
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 my.UQ 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 in this course will be a 2-hour examination similar in style to the end-of-semester examination. To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Additional assessment information
Artificial Intelligence
Assessment tasks in this course evaluate students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Applications for Extensions to Assessment Due Dates
Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.
Please note:
- Requests for an extension to an assessment due date must be submitted through your my.UQ portal and you must provide documentation of your circumstances, as soon as it becomes evident that an extension is needed. Your application must be submitted on or before the assessment item's due date and time.
- Applications for extension can take time to be processed so you should continue to work on your assessment item while awaiting a decision. We recommend that you submit any completed work by the due date, and this will be marked if your application is not approved. Should your application be approved, then you will be able to resubmit by the agreed revised due date.
- If an extension is approved, you will be notified via your my.UQ portal and the new date and time for submission provided. It is important that you check the revised date as it may differ from the date that you requested.
- If the basis of the application is a medical condition, applications should be accompanied by a medical certificate dated prior to the assignment due date. If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a written statement (Word document) outlining why you cannot provide the documentation. You must then upload the documentation to the portal within 24 hours.
- If an extension is being sought on the basis of exceptional circumstances, it must be accompanied by supporting documentation (eg. Statutory declaration).
- For extensions based on a SAP you may be granted a maximum of 7 days (if no earlier maximum date applies). See the Extension or Deferral availability section of each assessment for details. Your SAP is all that is required as documentation to support your application. However, additional extension requests for the assessment item will require the submission of additional supporting documentation e.g., a medical certificate. All extension requests must be received by the assessment due date and time.
- Students may be asked to submit evidence of work completed to date. Lack of adequate progress on your assessment item may result in an extension being denied.
- If you have been ill or unable to attend class for more than 14 days, you are advised to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty - seek advice from the Faculty that administers your program.
- There are no provisions for exemption from an assessment item within UQ rules. If you are unable to submit an assessment piece then, under special circumstances, you may be granted an exemption, but may be required to submit alternative assessment to ensure all learning outcomes are met.
Applications to defer an exam
In certain circumstances you can apply to take a deferred examination for in-semester and end-of-semester exams. You'll need to demonstrate through supporting documentation how unavoidable circumstances prevented you from sitting your exam. If you can’t, you can apply for a one-off discretionary deferred exam.
Deferred Exam requests are submitted online via mySi-net. Requests received in any other way will not be approved. Additional details associated with deferred examinations, including acceptable and unacceptable reasons may be found at my.UQ.
Please note:
- Applications can be submitted no later than 5 calendar days after the date of the original exam.
- There are no provisions to defer a deferred exam. You need to be available to sit your deferred examination.
- Your deferred examination request(s) must have a status of "submitted" in mySI-net to be assessed.
- All applications for deferred in-semester examinations are assessed by the relevant school. Applications for deferred end-of-semester examinations are assessed by the Academic Services Division.
- You’ll receive an email to your student email account when the status of your application is updated.
- If you have a medical condition, mental health condition or disability and require alternative arrangements for your deferred exam you’ll need to complete the online alternative exam arrangements through my.UQ. This is in addition to your deferred examinations request. You need to submit this request on the same day as your request for a deferred exam or supplementary assessment. Contact Student Services if you need assistance completing your alternative exam arrangements request.
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
Find the required and recommended resources for this course 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 |
---|---|---|
Multiple weeks |
Lecture |
Lectures There are 2 hours of lectures per week. You need to attend ALL lectures. Lectures define the course material. They set out the basic theory and demonstrate techniques for modelling and problem solving. They cover all the core material required for the course and are also used to provide administrative information for the course. Students are expected to take notes during each lecture as the lecturer works through the material and examples, and answer or ask questions when opportunities arise Learning outcomes: L01, L02, L03, L04, L05, L06 |
Practical |
Computer Labs Tutorial problems, writing programs in Julia (or Matlab) to support the material presented in lectures, and presenting simulation results in a short report. Learning outcomes: L01, L03, L04, L05, L06 |
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 - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.