MTH4321 Methods of computational mathematics
Faculty of Science
MTH4321 Methods of computational mathematics is a level 4, 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
This is the 2020 handbook entry. See the 2023 entry.
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Requisites
Before MTH4321
No prerequisites or corequisites besides the enrolment rules below.
After MTH4321
No unit lists MTH4321 as a prerequisite in the 2020 handbook.
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 period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| First semester (Fully flex) | Clayton | Flexible |
Learning outcomes
When you finish this unit, you should be able to:
- 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
Explain and apply notions of accuracy, stability and computational cost when solving PDE problems numerically.
- 3
Demonstrate proficiency in numerical methods for PDEs and linear system solving, and apply them to problems in science, engineering, biology and finance.
- 4
Implement advanced numerical PDE methods, and demonstrate the correctness and efficiency of the implementations in systematic computational tests.
- 5
Apply critical thinking and demonstrate written and oral communication skills in the field of computational mathematics.
Workload and teaching
3 hours of lectures and 1 hour applied class per week
Contacts
- Chief Examiners
- Dr Tiangang Cui
- Unit Coordinators
- Dr Tiangang Cui
Common questions
What are the prerequisites for MTH4321?
MTH4321 has no prerequisites, but enrolment rules apply.
When is MTH4321 offered?
In 2020, MTH4321 runs in Semester 1 at Clayton.