MonMap
A course mapper by Monash Association of Coding (MAC)
Linear algebra with applications
MTH2021
Synopsis
Vector spaces, linear transformations. Determinants, eigenvalue problems, matrix decompositions. Inner products, least squares approximation. Applications to areas such as coding, economics, graph theory, Markov chains, differential equations
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 (3)
- Engineering mathematicsENG1005
- Techniques for modellingMTH1030
- Techniques for modelling (Advanced)MTH1035
What it unlocks (11)
- Theory of computationFIT2014
- Systems and controlMEC3457
- Introduction to computational mathematicsMTH2051
- Number theory and cryptographyMTH2137
- Mathematics of uncertaintyMTH2222
- Mathematical statisticsMTH2232
- Differential geometryMTH3110
- Differential geometry (Advanced)MTH3115
- Topology: The mathematics of shapeMTH3130
- Metric spaces, Banach spaces, Hilbert spacesMTH3160
- Computational linear algebraMTH3320
Offerings (1)
- First semesterClayton · ON-CAMPUS
Listed in 10 areas of study
- Applied mathematicsDouble degree with engineering option
- Applied mathematicsDouble degree with engineering option
- Financial and insurance mathematicsFinancial and insurance mathematics elective unit
- Mathematical economics and econometricsSpecified discipline studies
- MathematicsMathematics elective unit
- MathematicsAlgebra unit
- MathematicsAlgebra unit
- Pure mathematicsAlgebra unit
- Pure mathematicsAlgebra unit
- Mathematical statisticsAdditional elective units