- Code STAT3004
- Unit Value 6 units
- Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College ANU College of Business and Economics
- Course subject Statistics
- Areas of interest Actuarial Studies, Finance, Statistics
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 STAT3006 (Advanced Stochastic Processes), as well as other honours and post-graduate courses emphasizing mathematical finance, stochastic analysis and statistical as well as actuarial sciences.
Upon successful completion, students will have the knowledge and skills to:
- Explain the fundamental concepts of probability theory and its position in modern statistical and mathematical sciences and applied contexts;
- Demonstrate accurate and efficient use of probability theory techniques;
- Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from probability theory;
- Apply problem-solving using probabilistic methods in various situations.
- Typical assessment may include, but is not restricted to: assignment and a final exam. (null) [LO null]
Students are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.
Requisite and Incompatibility
Assumed KnowledgeStudents will require a good background in introductory mathematical statistics and probability concepts, including random variables, probability distributions, etc.
Tuition fees are for the academic year indicated at the top of the page.
- Student Contribution Band:
- Unit value:
- 6 units
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.