UnitLevel 5Postgraduate

MTH5321 Methods of computational mathematics

Faculty of Science

MTH5321 Methods of computational mathematics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2020 in Semester 1 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2020
Semester 1
Clayton

The 2027 handbook has no page for MTH5321. This is its 2020 entry, the latest one.

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Requisites

Before MTH5321

No prerequisites or corequisites besides the enrolment rules below.

After MTH5321

No unit lists MTH5321 as a prerequisite in the 2020 handbook.

Enrolment rules

PROHIBITION: MTH4321

COREQUISITE: Enrolment in the Master of Mathematics

Equivalent units

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

Overview

Computational methods are of paramount importance for solving real-world problems in applied mathematics.This unit teaches widely used numerical methods for problems from science, engineering, biology and finance that are modeled by partial differential equations (PDEs). The unit covers numerical methods for PDEs of elliptic, parabolic and hyperbolic type, as well as advanced solution methods for the linear and nonlinear systems of equations that may arise from the discretisation of the PDEs. Topics covered may include finite difference methods, finite element methods, and finite volume methods; iterative and multigrid solvers for linear and nonlinear systems; nonlinear hyperbolic conservation laws; and other topics in numerical PDEs.The concepts of numerical accuracy, stability and efficiency play a central role in the unit. You will receive an introduction to the theory of the numerical methods (with derivations of the methods and some proofs), and will learn to implement the computational methods efficiently. Applications will be covered from various domains such as heat transfer, option pricing, biology, and fluid mechanics.

Offerings in 2020

Teaching periodCampusMode
First semesterClaytonOn campus
First semester (Fully flex)ClaytonFlexible

Learning outcomes

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

  1. 1

    Explain the mathematical theory behind a selection of important numerical methods for PDEs, including the derivation of the methods and the analysis of their properties.

  2. 2

    Explain and apply notions of accuracy, stability and computational cost when solving PDE problems numerically.

  3. 3

    Demonstrate proficiency in numerical methods for PDEs and linear system solving, and apply them to problems in science, engineering, biology and finance.

  4. 4

    Implement advanced numerical PDE methods, and demonstrate the correctness and efficiency of the implementations in systematic computational tests.

  5. 5

    Apply critical thinking and demonstrate written and oral communication skills in the field of computational mathematics.

Workload and teaching

  • 3 hours of lectures
  • 1 hour applied class and
  • 10 hours of independent study per week

Contacts

Unit Coordinators
Dr Tiangang Cui
Chief Examiners
Dr Tiangang Cui

Common questions

What are the prerequisites for MTH5321?

MTH5321 has no prerequisites, but enrolment rules apply.

When is MTH5321 offered?

In 2020, MTH5321 runs in Semester 1 at Clayton.

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
Handbook years
2020