This course has been adjusted for remote participation in Sem 1 2021 due to COVID-19 restrictions. On-campus activities will also be available.
The course introduces probability theory, including probability spaces, random variables, conditional probability and independence, limit theorems, and Markov chains, with an introduction to Brownian motion. The course will provide students with a solid theoretical foundation for probability theory, as well as describing some practical applications of probability in information theory and option pricing.
The course will provide a sound foundation to progress to MATH3015 (Stochastic Analysis with Financial Applications), as well as other honours and post-graduate courses emphasizing the theory of mathematical finance and stochastic analysis.
Note: This is an HPC.
Upon successful completion, students will have the knowledge and skills to:
- Understand and use fundamental concepts of probability theory
- Demonstrate accurate and efficient use of probability theory techniques, including limiting processes
- Solve problems using probabilistic methods and ideas
- Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from probability theory
- Assignments (30) [LO 1,2,3,4]
- Participation in lectures and workshops (quizzes, presentations, group work) (5) [LO 1,2,3]
- Mid-semester Exam (25) [LO 1,2,3,4]
- Final Exam (40) [LO 1,2,3,4]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
WorkloadThree lectures per week and regular workshops.
Requisite and Incompatibility
Prescribed TextsStochastics: Introduction to Probability and Statistics by Hans-Otto Georgii, de Gruyter, 2nd edition.
Course notes will also be provided to students.
Calculus, linear algebra and basic real analysis. It is strongly recommended that students have successfully completed MATH2320 or MATH3116 prior to taking this course, or at the very least MATH1116. Some knowledge of measure theory would be helpful, but it is not essential to take this course.
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
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