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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

MATH3063: Nonlinear ODEs with Applications

This unit of study is an introduction to the theory of systems of ordinary differential equations. Such systems model many types of phenomena in engineering, biology and the physical sciences. The emphasis will not be on finding explicit solutions, but instead on the qualitative features of these systems, such as stability, instability and oscillatory behaviour. The aim is to develop a good geometrical intuition into the behaviour of solutions to such systems. Some background in linear algebra, and familiarity with concepts such as limits and continuity, will be assumed. The applications in this unit will be drawn from predator-prey systems, transmission of diseases, chemical reactions and other equations and systems from mathematical biology.

Details

Academic unit Mathematics and Statistics Academic Operations
Unit code MATH3063
Unit name Nonlinear ODEs with Applications
Session, year
? 
Semester 1, 2021
Attendance mode Normal day
Location Remote
Credit points 6

Enrolment rules

Prohibitions
? 
MATH3963 or MATH4063
Prerequisites
? 
12 credit points of MATH2XXX units of study
Corequisites
? 
None
Assumed knowledge
? 

MATH2061 or MATH2961 or [MATH2X21 and MATH2X22]

Available to study abroad and exchange students

Yes

Teaching staff and contact details

Coordinator Holger Rainer Dullin, holger.dullin@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home short release) Type D final exam Final Exam
Final Exam Take-home short release
70% Formal exam period 2 hours
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
Assignment Assignment 1
Written assignment
5% Week 04
Due date: 28 Mar 2021
Approx two weeks to complete
Outcomes assessed: LO1 LO2 LO5
Small test Class test 1
Written quiz completed on paper
10% Week 07
Due date: 20 Apr 2021
45 minutes
Outcomes assessed: LO1 LO3 LO2
Assignment Assignment 2
Written assignment
10% Week 10
Due date: 16 May 2021
Approx two weeks to complete
Outcomes assessed: LO4 LO5 LO6
Small test Class test 2
Written test completed on paper
5% Week 12
Due date: 25 May 2021
30 minutes
Outcomes assessed: LO1 LO5 LO3 LO2
Type D final exam = Type D final exam ?

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Representing complete or close to complete mastery of the material.

Distinction

75 - 84

Representing excellence, but substantially less than complete mastery.

Credit

65 - 74

Representing a creditable performance that goes beyond routine knowledge and understanding, but less than excellence.

Pass

50 - 64

Representing at least routine knowledge and understanding over a spectrum of topics and important ideas and concepts in the course.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to ODEs and modelling. Flows on the line; the phase line, equilibria, stability, linear stability, existence and uniqueness. Examples. Lecture and tutorial (4 hr) LO1 LO2
Week 02 Bifurcation of flows on the line; saddle-node, transcritical, and pitchfork bifurcation. Bifurcation diagrams, hysteresis. Dimensional analysis, scaling. Examples. Lecture and tutorial (4 hr) LO2 LO5 LO6
Week 03 Bifurcations continued. Flows on the circle. Oscillators. Examples. Introduction to phase plane analysis. Lecture and tutorial (4 hr) LO2 LO4 LO6
Week 04 Linear systems, eigenvalues and eigenvectors. Classification of linear systems (nodes, focuses, saddles, centres, etc). Phase planes of linear systems. The Jacobian matrix; classifying behaviour using its trace and determinant. Lecture and tutorial (4 hr) LO1
Week 05 Phase plane analysis of non-linear systems. Linearisation, linear stability analysis. Existence and uniqueness of solutions. Nullclines, index theorems. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO6
Week 06 Examples: Lotka-Volterra equations, harvesting, predator-prey systems. Other predator-prey systems. Chemical reactions. Lecture and tutorial (4 hr) LO1 LO2 LO4 LO5 LO6
Week 07 Examples: Models for the spread of disease. Basic SIR model, SIS, SIRS and others. Lecture and tutorial (4 hr) LO2 LO4 LO5 LO6
Week 08 Conservative and reversible systems, first integrals, Hamiltonian systems and gradient systems. Examples. Lecture and tutorial (4 hr) LO1 LO3 LO6
Week 09 Lyapunov stability. Finding and using Lyapunov functions. Sketch of Lyapunov theorems. Examples. Lecture and tutorial (4 hr) LO2 LO3 LO6
Week 10 Limit cycles: definition, stability analysis, phase portraits, Poincare-Bendixson. Relaxation oscillations. Examples. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5
Week 11 Bifurcations in systems of two first order ODEs. Hopf bifurcation. Creation of limit cycles. Examples, e.g. Brusselator. Lecture and tutorial (4 hr) LO1 LO2 LO5 LO6
Week 12 Chaos. Lorenz model, Poincare map. Lecture and tutorial (4 hr) LO2 LO4 LO6
Week 13 Revision Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. explain the principle of linear approximations to nonlinear systems and use this to analyse system behaviour close to steady states
  • LO2. synthesise graphical information from nullclines and flow to construct qualitative phase plane solutions to problems in nonlinear systems
  • LO3. demonstrate knowledge of the theory of existence and uniqueness, and the determination of stability of solutions of ordinary differential equations, including special cases such as Hamiltonian and gradient systems.
  • LO4. interpret model results and evaluate and explain the limitations of models in representing real systems
  • LO5. demonstrate a broad understanding of the role of basic bifurcations in nonlinear systems and evaluate the effect of parameter variation on observed model behaviour
  • LO6. apply mathematical theory in novel and diverse applications.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
No changes have been made since this unit was last offered.

Site visit guidelines

There are no site visit guidelines for this unit.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

General Laboratory Safety Rules

  • No eating or drinking is allowed in any laboratory under any circumstances
  • A laboratory coat and closed-toe shoes are mandatory
  • Follow safety instructions in your manual and posted in laboratories
  • In case of fire, follow instructions posted outside the laboratory door
  • First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory
  • As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.