MTH3011 Partial differential equations
Faculty of Science
MTH3011 Partial differential equations is a level 3, 6-credit-point, undergraduate 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 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review MTH3011.
Requisites
Before MTH3011
No prerequisites or corequisites besides the enrolment rules below.
After MTH3011
No unit lists MTH3011 as a prerequisite in the 2020 handbook.
Overview
Introduction to PDEs; first-order PDEs and characteristics, the advection equation, nonlinear equations. Classes of second-order PDEs; boundary and/or initial conditions for well-posed problems. The wave equation: exact solutions on infinite and finite spatial domains, other hyperbolic PDEs, reflection of waves. The heat equation: exact solutions on infinite domain, separation of variables for fixed and/or insulating boundary conditions. Finite-difference methods for ODEs, truncation error. Forward, backward and Crank-Nicolson numerical methods for the heat equation, truncation errors and stability analysis. Numerical methods for the advection equation; upwind differencing. Exact solutions of Laplace's equation in various domains. Numerical methods for Laplace's and Poisson's equation.
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
Understand the role of partial differential equations in the mathematical modelling of physical processes;
- 2
Solve a range of first-order partial differential equations including using the 'method of characteristics';
- 3
Appreciate the properties of the three basic types of linear second-order partial differential equations, including suitable initial and/or boundary conditions;
- 4
Understand the mathematical properties of the diffusion equation, wave equation and Laplace's equation and solve them exactly under some simple conditions;
- 5
Analyse and interpret simple applications modelled by the advection equation, diffusion equation and Laplace's equation;
- 6
Understand the principles of finite-difference approximation of ordinary and partial differential equations and appreciate the advantages and disadvantages of a range of useful numerical techniques, including their stability;
- 7
Evaluate numerical solutions of some partial differential equations using computers, and display those results graphically.
Workload and teaching
Three 1-hour lectures and one 2-hour applied class per week
Where it fits
MTH3011 is part of 6 areas of study in the 2020 handbook.
- APPLMTH05Applied mathematics elective unitsApplied mathematicsNo reviews yet
- APPLMTH07Applied mathematics elective unitsApplied mathematicsNo reviews yet
- FININMAT03Financial and insurance mathematics elective unitsFinancial and insurance mathematicsNo reviews yet
- MATHS05Additional mathematics unitMathematicsNo reviews yet
- MATHS06Additional mathematics unitsMathematicsNo reviews yet
- MATPURE07Pure mathematics elective unitsPure mathematicsNo reviews yet
Contacts
- Unit Coordinators
- Dr Kengo Deguchi
- Dr Ozge Ozcakir
- Chief Examiners
- Dr Ozge Ozcakir
Common questions
What are the prerequisites for MTH3011?
MTH3011 has no prerequisites, but enrolment rules apply.
When is MTH3011 offered?
In 2020, MTH3011 runs in Semester 1 at Clayton.
Which majors and minors include MTH3011?
MTH3011 is part of Applied mathematics; Financial and insurance mathematics; Mathematics; and Pure mathematics.