UnitLevel 3Undergraduate

MTH3011 Partial differential equations

Faculty of Science

MTH3011 Partial differential equations is a level 3, 6-credit-point, undergraduate unit from the Faculty of Science, offered in 2026 in Semester 1 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2026
Semester 1
Clayton
Assessment
Exam 50%
and 1 other task

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

Before MTH3011

No prerequisites or corequisites besides the enrolment rules below.

After MTH3011

No unit lists MTH3011 as a prerequisite in the 2026 handbook.

Enrolment rules

PREREQUISTE: You must have passed one unit from MTH2010 or MTH2015 or ENG2005 and one unit from MTH2032 or MTH2040, or be enrolled in the Master of Mathematics or the Master of Financial Mathematics.

Overview

This unit covers exact and numerical solutions for partial differential equations of various types.

Explicit solution methods include methods of characteristics, separation of variables, Fourier series and transform, fundamental solutions, etc. Some of these methods will be explored for linear, and possibly some non-linear, equations of elliptic, parabolic or hyperbolic types.

Numerical analysis techniques (of finite difference, finite volume or finite element types) will be covered for some of these models, with an emphasis on establishing the robustness and accuracy (consistency) of the methods, for both stationary and time-dependent models.

Offerings in 2026

Teaching periodCampusMode
First semesterClaytonOn campus

Assessment

  • Continuous assessmentDemonstration
    50%
  • Final assessment - Exam (3 hours and 10 minutes)Examination
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Solve a range of nonlinear partial differential equations using a variety of technique;

  2. 2

    Appreciate the properties of multi-dimensional partial differential equations, including suitable initial and/or boundary conditions;

  3. 3

    Demonstrate an understanding of the mathematical properties of inhomogeneous partial differential equations and solve them exactly under some simple conditions using in particular Duhamel’s principle;

  4. 4

    Demonstrate an understanding of the principles of numerical analysis for ordinary and partial differential equations, including the stability and consistency analysis of the schemes;

  5. 5

    Choose specific output formats for and interpret the results of numerical schemes for various models.

Workload and teaching

  • Applied sessions22 hours
  • Seminars36 hours
  • Three 1-hour seminars;
  • One 2-hour applied class (in weeks 2-12) and
  • 7 hours of independent study per week.

Learning resources

Required resources

A First Course in the Numerical Analysis of Differential Equations by A. Iserlies, Cambridge, 1996.

Applied Partial Differential Equations by R. Haberman, Pearson, 2004.

Partial Differential Equations with Numerical Methods by S. Larsson & V. Thomas, Springer, 2005.

Tips on writing in mathematics http://www.stolaf.edu/people/zorn/prooftips.pdf <http://www.stolaf.edu/people/zorn/prooftips.pdf>

Writing mathematics well http://www.math.hmc.edu/~su/math-writing.pdf <http://www.math.hmc.edu/~su/math-writing.pdf>

Where it fits

MTH3011 is part of 7 areas of study in the 2026 handbook.

Contacts

Chief Examiners
Dr Kengo Deguchi
Unit Coordinators
Dr Kengo Deguchi

Common questions

What are the prerequisites for MTH3011?

MTH3011 has no prerequisites, but enrolment rules apply.

When is MTH3011 offered?

In 2026, MTH3011 runs in Semester 1 at Clayton.

Does MTH3011 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 1 other task.

Which majors and minors include MTH3011?

MTH3011 is part of Applied mathematics; Financial and insurance mathematics; Mathematical statistics; Mathematics; and Pure mathematics.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Science
Organisational unit
School of Mathematics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available