UnitLevel 5Postgraduate

MTH5323 Numerical analysis and control of differential equations

Faculty of Science

MTH5323 Numerical analysis and control of differential equations is a level 5, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2020 in Semester 2 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2020
Semester 2
Clayton
Assessment
Exam 60%
and 1 other task

This is the 2020 handbook entry. See the 2027 entry.

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Requisites

Before MTH5323

No prerequisites or corequisites besides the enrolment rules below.

After MTH5323

No unit lists MTH5323 as a prerequisite in the 2020 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 gives an introduction to the numerical approximation and control of differential equations, with a focus on both the mathematical foundations and the practical usages of these notions. Topics covered include: computational dynamics; optimisation and set-valued analysis; implicit and explicit time steppings; weak formulations of partial differential equations; finite element methods; finite volume methods; implementation and convergence analysis.

Offerings in 2020

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • In-semester assessment
    40%
  • Examination (3 hours and 10 minutes)Threshold hurdle
    60%

Learning outcomes

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

  1. 1

    Describe and rigorously analyse sophisticated numerical methods for DEs

  2. 2

    Implement numerical methods for standard models

  3. 3

    Understand the mathematical properties of advanced numerical methods, and use this understanding to select appropriate method for appropriate

  4. 4

    Describe the nature and usage of optimal control problems

  5. 5

    Cast a real-world problem into an optimal control problem

  6. 6

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

Workload and teaching

  • Applied sessions11 hours
  • Lectures36 hours
  • Teaching approachActive learning
  • 3 hours of lectures and 1 hour tutorial per week
  • 10 hours of independent study per week

Active learning will occur in lectures and applied classes.

Contacts

Unit Coordinators
Associate Professor Jerome Droniou
Dr Janosch Rieger

Common questions

What are the prerequisites for MTH5323?

MTH5323 has no prerequisites, but enrolment rules apply.

When is MTH5323 offered?

In 2020, MTH5323 runs in Semester 2 at Clayton.

Does MTH5323 have an exam?

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

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Science
Organisational unit
School of Mathematics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available