Overview
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.
Offerings
S1-01-CLAYTON-ON-CAMPUS
Requisites
Corequisite
Prerequisite
Contacts
Chief Examiner(s)
Associate Professor Andrea Collevecchio
Unit Coordinator(s)
Dr Meng Shi
Assessment
1 - Continuous assessment
2 - Final assessment - Exam (3 hours and 10 minutes)
Scheduled and non-scheduled teaching activities
Applied sessions
Seminars
Workload requirements
Workload
Learning resources
Required resources
Other unit costs
Costs are indicative and subject to change.
Miscellaneous items required (unit course reader, printing, stationery) - $120
Availability in areas of study
Applied mathematics
Financial and insurance mathematics
Mathematical statistics
Mathematics
Pure mathematics
Financial and insurance mathematics
Mathematical statistics
Mathematics
Pure mathematics