| Unit convenor and teaching staff |
Unit convenor and teaching staff
Richard Garner
Catherine Penington
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|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
MATH3010 or MATH3020 or MATH3900 or MATH3902 or MATH3905 or MATH3906 or MATH3907 or MATH3909
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
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| Unit description |
Unit description
What are the symmetries of a polynomial? How do you train a neural network to solve a PDE? What does it mean for a sequence of functions to converge? These are some of the big questions that mathematics helps us to answer. In this unit, you'll have the chance to pose your own big question and develop the analytical skills needed to explore it. You'll choose from a range of focus areas, each representing a different facet of mathematics. Within your chosen area, you'll identify a problem which interests you. We'll then guide you in learning a range of tools and techniques relevant to your problem and give you space to investigate it further on your own. You'll wrap things up in a report, explaining what you learnt to an audience of your choice. Whether you’re planning a career in industry or teaching, or want to continue on to further research, this unit will give you the skills and confidence to do mathematics that matters to you.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Requirements to Pass This Unit
To pass this unit, you must
Attendance and participation
Regular engagement in all learning activities of the unit is crucial for your success. These activities provide opportunities to deepen your understanding of the material, collaborate with peers, and receive valuable feedback from instructors, to assist in completing the unit assessments. Your active participation not only enhances your own learning experience but also contributes to a vibrant and dynamic learning environment for everyone.
Late Assessment Submission Penalty
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark of the task) will be applied for each day a written report or presentation assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be provided to students who experience a technical concern. This grace period will be applied automatically, and no notification to unit staff is necessary. For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, please apply for Special Consideration.
Assessments where Late Submissions will be accepted
Special Consideration
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment.
Project report: If you experience circumstances or events that affect your ability to complete the project report in this unit on time, please inform the convenor and submit a Special Consideration request through connect.mq.edu.au.
Test/Oral examination: If you experience circumstances or events that affect your ability to attend the in-class test or oral examination, please inform the convenor and submit a Special Consideration request through connect.mq.edu.au.
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Project report | 50% | No | 07/06/2026 | Individual and Group | No | Open |
| Oral examination | 20% | No | Exam Period | Individual | No | Observed |
| Test | 30% | No | Week 7 | Individual | No | Observed |
Assessment Type 1: Experiential task
Indicative Time on Task 2: 30 hours
Due: 07/06/2026
Weighting: 50%
Groupwork/Individual: Individual and Group
Short extension 3: No
AI Approach: Open
You will have the opportunity to apply the knowledge gained in the unit to a larger scale mathematical problem than the short questions typical in assignments.
Assessment Type 1: Examination
Indicative Time on Task 2: 12 hours
Due: Exam Period
Weighting: 20%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
You will be tested in the oral examination on your ability to utilise concepts and techniques learnt in the unit.
Assessment Type 1: Examination
Indicative Time on Task 2: 18 hours
Due: Week 7
Weighting: 30%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Observed
You will be tested on your ability to analyse and solve mathematical problems using concepts and techniques learnt in the unit.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
Classes
In weeks 1-6:
In week 7, the two-hour class will be your mid-semester test.
In weeks 8-13:
There are various different classes you can enrol in on eStudent; this is an artefact of the timetabling. it's not important which you choose so long as you are enrolled in one of them.
Focus areas
There are two possible focus areas that you can choose in this unit:
The focus area you choose will determine the content stream that you are part of in the first six weeks of semester, and the potential topics you may choose for your project. We will ask you to choose between the two streams in week 1.
Suggested textbooks
Please see iLearn for suggested textbooks.
Communication
We will communicate with you via your university email or through announcements on iLearn. Queries to convenors can either be placed on the iLearn discussion board or sent to your lecturers from your university email address.
| WEEK | CLASS TOPIC | ASSESSMENT ACTIVITY | PROJECT ACTIVITY |
|---|---|---|---|
| 1 | Introduction then stream-specific content | ||
| 2 | Stream-specific | ||
| 3 | Stream-specific | ||
| 4 | Stream-specific | Choosing a project | |
| 5 | Stream-specific | ||
| 6 | Stream-specific | Submit project titles for sign-off | |
| 7 | Mid-semester test | Mid-semester test (in class) (30%) | |
| 8 | Project work | Submit project plans for brief feedback | Project planning |
| 9 | Project work | Create repository (GitHub/Overleaf) | Synthesis of literature |
| 10 | Project work | Original contribution | |
| 11 | Project work | Writing and exposition / structure and layout | |
| 12 | Project work | Selling the project | |
| 13 | Project work | Project submission (50%) | Last chance for instructor feedback |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2026.03 of the Handbook