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 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
The 2027 handbook has no page for MTH4321. This is its 2023 entry, the latest one.
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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 2023 handbook.
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 2023
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Three assignmentsAssignment40%
- Examination (3 hours and 10 minutes)Exam60%
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
- Applied sessions11 hours
- Lectures36 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.
This is an established way to teach high-level abstract mathematics effectively. In this model, students are expected to revise the theory explained in the lectures at home. This active learning process will assist students in fully understanding the new concepts. There will be three assignments on theoretical questions and programming questions. In the final unit mark, the final exam counts for 60%, the insemester assignments count for 40%
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 2023, MTH4321 runs in Semester 1 at Clayton.
Does MTH4321 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.