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Random processes in the sciences and engineering
MTH3241
Synopsis
This unit introduces the methods of stochastic processes and statistics used in the analysis of biological data, physics, economics and engineering. At the completion of the unit you will understand the application of classical techniques, such as Poisson processes, Markov chains, hidden Markov chains, random walks, martingale theory, birth and death processes, and branching processes in the analysis of DNA sequences, population genetics, dynamics of populations, telecommunications and economic analysis.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Science
- Faculty
- School of Mathematics
- Handbook year
- 2026
Prerequisites (6)
What it unlocks (2)
Offerings (1)
- First semesterClayton · ON-CAMPUS
Listed in 7 areas of study
- Applied mathematicsAdditional elective unit
- Financial and insurance mathematicsLevel 2 and 3 core units
- MathematicsMathematics elective units
- MathematicsMathematics elective units
- Pure mathematicsPure mathematics elective units
- Mathematical statisticsLevel 3 units
- Mathematical statisticsLevel 2 and 3 units