MonMap
A course mapper by Monash Association of Coding (MAC)
Mathematics of uncertainty
MTH2222
Synopsis
Introduction to probability - a mathematical treatment. Topics include: probability axioms, conditional probabilities and the law of total probability, discrete and continuous random variables, univariate and multivariate distributions, independence and conditioning, conditional distributions and conditional expectations, moment generating functions, simulation, the law of large numbers and the central limit theorem.
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 (11)
- Engineering mathematicsENG1005
- Advanced engineering mathematicsENG2005
- Continuous mathematics for computer scienceMAT1841
- Techniques for modellingMTH1030
- Techniques for modelling (Advanced)MTH1035
- Multivariable calculusMTH2010
- Multivariable calculus (advanced)MTH2015
- Multivariate mathematics for data scienceMTH2019
- Linear algebra with applicationsMTH2021
- Linear algebra (Advanced)MTH2025
- Mathematical modellingMTH2040
What it unlocks (5)
Offerings (1)
- First semesterClayton · ON-CAMPUS
Listed in 10 areas of study
- Applied mathematicsAdditional elective unit
- Financial and insurance mathematicsOption 2
- MathematicsMathematics elective unit
- MathematicsMathematics elective units
- MathematicsMathematics elective units
- Pure mathematicsPure mathematics elective units
- Pure mathematicsPure mathematics elective units
- Mathematical statisticsLevel 2 units
- Mathematical statisticsDouble degree with engineering option
- Mathematical statisticsLevel 2 and 3 units