Students

MATH2110 – Mathematical Modelling and Differential Equations

2025 – Session 2, In person-scheduled-weekday, North Ryde

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Christian Thomas
christian.thomas@mq.edu.au
Contact via Email
726 12WW
Unit Convenor
Catherine Penington
catherine.penington@mq.edu.au
Contact via Email
717 12WW
Credit points Credit points
10
Prerequisites Prerequisites
MATH2010 or MATH2055
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

This unit builds upon 1000-level mathematical modelling methods and develops new techniques for both formulating and analysing mathematical models of physical systems. Theory and application will be presented in an integrative way, emphasising the utility of mathematical methods in obtaining information and making predictions about real-world processes. The unit will focus particularly on how to interpret and derive differential equations describing (possibly coupled) physical systems that either vary in time or space. Powerful methods, and their theoretical foundations, will be introduced to analyse and solve these differential equations. Complementary numerical techniques will be used in some of the methods, preparing students for analyses of more intricate problems.

Learning in this unit enhances student understanding of global challenges identified by the United Nations Sustainable Development Goals (UNSDGs) Good Health and Well Being; Quality Education; Decent Work and Economic Growth; Industry, Innovation and Infrastructure

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Interpret a mathematical model in order to determine the qualitative behaviour of the physical system that it represents.
  • ULO2: Formulate a simplified mathematical model of a complex physical system.
  • ULO3: Apply mathematical techniques to quantitatively analyse the behaviour of mathematical models that vary with time and space.
  • ULO4: Translate solutions and results of mathematical models into implications and predictions for the original physical system being modelled.
  • ULO5: Utilise software to numerically obtain, present, and communicate results pertaining to the behaviour of a physical system.

General Assessment Information

Requirements to Pass this Unit

To pass this unit you must:

  • Achieve a total mark equal to or greater than 50%

Late Assessment Submission Penalty

Please see https://students.mq.edu.au/study/assessment-exams/assessments for more information.

Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written 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. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical concern.

For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Assessments where Late Submissions will be accepted

  • Assignment – YES, Standard Late Penalty applies

  • Project – YES, Standard Late Penalty applies

  • Examination - NO, unless Special Consideration is Granted

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. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through https://connect.mq.edu.au.

Assessment Tasks

Name Weighting Hurdle Due
Assignment 20% No 19/09/2025
Project 30% No 02/11/2025
Final examination 50% No Examination Period

Assignment

Assessment Type 1: Problem set
Indicative Time on Task 2: 12 hours
Due: 19/09/2025
Weighting: 20%

 

The assignment will test the ability of students to solve mathematical problems using concepts and techniques learnt in the unit.

 
On successful completion you will be able to:
  • Interpret a mathematical model in order to determine the qualitative behaviour of the physical system that it represents.
  • Formulate a simplified mathematical model of a complex physical system.
  • Apply mathematical techniques to quantitatively analyse the behaviour of mathematical models that vary with time and space.
  • Translate solutions and results of mathematical models into implications and predictions for the original physical system being modelled.
  • Utilise software to numerically obtain, present, and communicate results pertaining to the behaviour of a physical system.

Project

Assessment Type 1: Project
Indicative Time on Task 2: 18 hours
Due: 02/11/2025
Weighting: 30%

 

This project gives students the opportunity to apply the knowledge gained in the unit to a larger scale mathematical problem than the short questions typical in assignments.

 
On successful completion you will be able to:
  • Interpret a mathematical model in order to determine the qualitative behaviour of the physical system that it represents.
  • Formulate a simplified mathematical model of a complex physical system.
  • Apply mathematical techniques to quantitatively analyse the behaviour of mathematical models that vary with time and space.
  • Translate solutions and results of mathematical models into implications and predictions for the original physical system being modelled.
  • Utilise software to numerically obtain, present, and communicate results pertaining to the behaviour of a physical system.

Final examination

Assessment Type 1: Examination
Indicative Time on Task 2: 20 hours
Due: Examination Period
Weighting: 50%

 

The exam will test the ability of students to utilise concepts and techniques learnt in the unit.

 
On successful completion you will be able to:
  • Interpret a mathematical model in order to determine the qualitative behaviour of the physical system that it represents.
  • Formulate a simplified mathematical model of a complex physical system.
  • Apply mathematical techniques to quantitatively analyse the behaviour of mathematical models that vary with time and space.
  • Translate solutions and results of mathematical models into implications and predictions for the original physical system being modelled.
  • Utilise software to numerically obtain, present, and communicate results pertaining to the behaviour of a physical system.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

Classes

Lectures (beginning in Week 1): There is one two-hour lecture each week. (Lectures in weeks 1-6 will be supplemented by short videos.)

SGTA classes (beginning in Week 2): Students should attend one two-hour class per week.

The timetable for classes can be found on the University website at: http://publish.mq.edu.au/

Enrolment can be managed using eStudent at: https://students.mq.edu.au/support/technology/systems/estudent

Suggested Textbooks

There is no set textbook for MATH2110.

Technology Used and Required

This subject requires the use of several items of software. Each of these is available to you at no cost, either because the software is open source or otherwise freely available, or because Macquarie University has arranged access for students. You will need the following:

Methods of 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.

 

Unit Schedule

WEEK

 UNIT SCHEDULE (guide only) ASSESSMENT DUE
1 Introduction to modelling; Compartment modelling  
2 Compartment modelling continued; Dimensional analysis Exercise 1; Select projects
3 First-order ODEs; Logistic equation; phase lines & stability Exercise 2
4 Harvesting & bifurcations; Numerical methods Exercise 3
5 Systems of first-order ODEs; Solutions to linear systems Exercise 4
6 Stability of linear systems; Classifications & phase planes Exercise 5; Submit project model for formative feedback
7 Nonlinear systems of ODEs; Linear stability; Constructing phase planes Exercise 6
8 Population models; Lotka-Volterra Predator-Prey Exercise 7; Assignment due
9 Infectious disease models; SIR model Exercise 8
10 Second-order ODEs; Mass-spring systems Exercise 9
11 Boundary value problems; Nonlinear effects Exercise 10
12 Nonlinear effects continued; Power series Exercise 11; Project report due
13 Revision Exercise 12

 

Policies and Procedures

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.

Student Code of Conduct

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

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

Academic Integrity

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.

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Academic Success

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. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

IT Help

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.

Changes from Previous Offering

We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page. Student feedback from the previous offering of this unit was very positive overall, with students pleased with the clarity around assessment requirements and the level of support from teaching staff. As such, no change to the delivery of the unit is planned, however we will continue to strive to improve the level of support and the level of student engagement.

Unit information based on version 2025.05 of the Handbook