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Mathematical modelling
MTH2040
Synopsis
The mathematical modelling of physical systems is based upon differential equations and linear algebra. This unit will introduce fundamental techniques for studying linear systems and differential equations, focusing on applications to physical systems. The topics in linear algebra to be considered include eigenvalues and eigenvectors, diagonalisation of square matrices, matrix functions, LU-decomposition, applications. The topics in optimisation include Lagrange multipliers, the method of least-squares, linear programming, applications. Finally, the topics in differential equations include matrix solutions of constant coefficient systems of ordinary differential equations, conservative systems and phase-planes of simple non-linear ordinary differential equations. Solutions of first order partial differential equations will be analysed and applied to real world problems. You will be introduced to the Mathematica computer package, and learn how to use it for analytical and numerical calculations and graphics. Mathematica will be integrated into most activities.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 2
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Science
- Faculty
- School of Mathematics
- Handbook year
- 2026
Prerequisites (1)
- Engineering mathematicsENG1005
What it unlocks (15)
- Introduction to astrophysicsASP2062
- Stars and galaxiesASP3012
- Relativity and cosmologyASP3051
- Computational astrophysics and the extreme universeASP3162
- Introduction to computational mathematicsMTH2051
- Mathematics of uncertaintyMTH2222
- Mathematical statisticsMTH2232
- Advanced ordinary differential equationsMTH3060
- Time series and random processes in linear systemsMTH3230
- Random processes in the sciences and engineeringMTH3241
- Computational linear algebraMTH3320
- Fluid dynamicsMTH3360
- Electromagnetism and opticsPHS2062
- Quantum mechanicsPHS3101
- Classical dynamics and field theoryPHS3201
Offerings (1)
- Second semesterClayton · ON-CAMPUS
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