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 MATH6115 Stochastic Analysis with Financial Applications, as well as other post-graduate courses emphasizing the theory of mathematical finance and stochastic analysis.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Understand and use fundamental concepts of probability theory, both in the abstract setting of probability spaces, sigma algebras, and probability measures, and as applied to concrete problems
- 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
- Ability to use their deep knowledge and understanding of probability theory to formulate responses to complex concrete and abstract problems
- Ability to communicate their understanding and skills in probability theory with colleagues and non-experts and apply their knowledge in an occupational situation.
Indicative Assessment
- Assignments (30) [LO 1,2,3,4,5,6]
- Participation in lectures and workshops (quizzes, presentations, group work) (5) [LO 1,2,3]
- Mid-semester exam (25) [LO 1,2,3,4,5,6]
- Final Exam (40) [LO 1,2,3,4,5,6]
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.
Workload
Three lectures per week and regular workshops.Inherent Requirements
Not applicable
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Prescribed Texts
Stochastics: Introduction to Probability and Statistics by Hans-Otto Georgii, de Gruyter, 2nd edition.Course notes will also be provided to students.
Assumed Knowledge
Calculus, linear algebra and basic real analysis. Some knowledge of measure theory would be helpful, but it is not essential to take this course.
Fees
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:
- 1
- 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.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2023 | $4320 |
- International fee paying students
| Year | Fee |
|---|---|
| 2023 | $6180 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2955 | 20 Feb 2023 | 27 Feb 2023 | 31 Mar 2023 | 26 May 2023 | In Person | View |
