This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.
The course offers an introduction into modern probability theory, including probability spaces, random variables, conditional probability and independence, limit theorems, Markov chains and martingales with an outlook towards advanced stochastic processes. The course will emphasise practical understanding and applications as well as a solid theoretical foundation for the subject.
The course will provide a sound foundation to progress to STAT7006 (Advanced Stochastic Processes), as well as other honours and post-graduate courses emphasizing mathematical finance, stochastic analysis and statistical as well as actuarial sciences.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Explain in detail the fundamental concepts of probability theory and its position in modern statistical and mathematical sciences and applied contexts;
- Demonstrate accurate and efficient use of complex probability theory techniques;
- Demonstrate in depth capacity for mathematical reasoning through analyzing, proving and explaining concepts from probability theory; and
- Apply complex problem-solving techniques using probabilistic methods in various situations.
Other Information
Indicative Assessment
- Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [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.
Workload
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.
Inherent Requirements
Not applicable
Requisite and Incompatibility
Prescribed Texts
Information about the prescribed textbook will be available via the Class Summary.
Assumed Knowledge
Students will require a good background in introductory mathematical statistics and probability concepts, including random variables, probability distributions, etc.Specialisations
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 |
|---|---|
| 2021 | $4110 |
- International fee paying students
| Year | Fee |
|---|---|
| 2021 | $5880 |
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 |
|---|---|---|---|---|---|---|
| 2983 | 22 Feb 2021 | 01 Mar 2021 | 31 Mar 2021 | 28 May 2021 | In Person | View |
