UnitLevel 4Postgraduate

MTH4323 Advanced numerical analysis of partial differential equations

Faculty of Science

MTH4323 Advanced numerical analysis of partial differential equations is a level 4, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2023 in Semester 1 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2023
Semester 1
Clayton
Assessment
Exam 60%
and 1 other task

This is the 2023 handbook entry. See the 2026 entry.

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Requisites

Before MTH4323

No prerequisites or corequisites besides the enrolment rules below.

After MTH4323

No unit lists MTH4323 as a prerequisite in the 2023 handbook.

Enrolment rules

COREQUISITE: Enrolment in the Master of Mathematics

PROHIBITION: MTH5323

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit introduces the numerical approximation of partial differential equations (PDEs), with a focus on both the mathematical foundations and the practical usages of these notions. Topics covered include weak formulations of partial differential equations in primal and mixed form; abstract saddle-point problems; conforming and non-conforming finite element methods; finite volume methods; mixed finite element methods; stability and convergence analysis; implementation of computational schemes.

Offerings in 2023

Teaching periodCampusMode
First semesterClaytonOn campus

Assessment

  • Continuous assessmentOther
    40%
  • Examination (3 hours and 10 minutes)ExamThreshold hurdle
    60%

Learning outcomes

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

  1. 1

    Describe and rigorously analyse sophisticated numerical methods for PDEs;

  2. 2

    Implement numerical methods for standard models including diffusion and linear elasticity;

  3. 3

    Demonstrate understanding of the mathematical properties of advanced numerical methods, and use this understanding to select appropriate methods for each specific problem;

  4. 4

    Communicate and critically discuss the outcome of numerical methods for PDEs.

Workload and teaching

  • Lectures36 hours
  • Applied sessions11 hours
  • Teaching approachActive learning
  • Two 1.5 -hour lectures;
  • One 1-hour applied class (in weeks 2-12) and
  • 8 hours of independent study per week.

Active learning will occur in lectures and applied classes.

Contacts

Chief Examiners
Professor Jerome Droniou
Unit Coordinators
Professor Jerome Droniou

Common questions

What are the prerequisites for MTH4323?

MTH4323 has no prerequisites, but enrolment rules apply.

When is MTH4323 offered?

In 2023, MTH4323 runs in Semester 1 at Clayton.

Does MTH4323 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 1 other task.

More details

Credit points
6
Level
4
Study level
Postgraduate
Faculty
Faculty of Science
Organisational unit
School of Mathematics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available
Handbook years
2020202120222023202420252026