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Introduction to computational mathematics
MTH2051
Synopsis
When mathematics is used in real-world applications, it almost always involves the use of computers. This unit provides an introduction to numerical methods for solving maths-related problems on computers. Topics covered include error analysis; methods for solving linear systems, methods for finding roots of nonlinear equations; polynomial interpolation; numerical differentiation and integration; and numerical methods for ordinary differential equations. You will receive a solid introduction to the theory of the numerical methods (with derivations of the methods, error estimates and convergence proofs), and will learn to implement the computational methods in Matlab. The methods and techniques learned have broad applicability in areas that include the natural sciences, engineering, the biomedical sciences, finance, business, machine learning, and data science.
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 (14)
- ENG1060ENG1060
- Advanced engineering mathematicsENG2005
- Mathematics for economics and businessETC2440
- Introduction to programmingFIT1045
- Introduction to programming (Advanced)FIT1053
- Discrete mathematics for computer scienceMAT1830
- Continuous mathematics for computer scienceMAT1841
- Multivariable calculusMTH2010
- Multivariable calculus (advanced)MTH2015
- Multivariate mathematics for data scienceMTH2019
- Linear algebra with applicationsMTH2021
- Linear algebra (Advanced)MTH2025
- Mathematical modellingMTH2040
- Introduction to scientific codingSCI1022
What it unlocks (3)
Offerings (2)
- Second semesterMalaysia · ON-CAMPUS / Clayton · ON-CAMPUS
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