- 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, Statistics
- Academic career UGRD
- Dr Boris Buchmann
- Mode of delivery In Person
Second Semester 2015
See Future Offerings
This course is an introduction to the field of stochastic processes, which are ordered collections of (generally dependent) random variables, usually indexed by either time or space. They are used to model dynamic relationships involving random events in a wide variety of disciplines including engineering, the natural and social sciences as well as financial, managerial and actuarial settings.
The course consists of four parts. The first consisting of a short review of basic probability concepts and a discussion of conditional probability and conditional expectation. The second and third, which will comprise the majority of the lectures, present an introduction to the basic concepts and an investigation of the long-run behaviour, respectively, of simple stochastic processes in discrete time; namely, Markov chains. Finally, the fourth section will be comprised of various topics regarding some important forms of continuous-time stochastic processes including Poisson processes and other Markov pure jump processes, as well as Brownian motion and other related Gaussian processes as time permits.
Upon successful completion, students will have the knowledge and skills to:
To achieve an understanding of and facility in:
- Basic concepts and an investigation of the long-run behaviour, respectively, of simple stochastic processes in discrete time; namely, Markov chains.
- Various topics regarding some important forms of continuous-time stochastic processes including
- Poisson processes
- other Markov pure jump processes
- Brownian motion
- other related Gaussian processes.
See the course outline on the College courses page. Outlines are uploaded as they become available.
- Mid-semester assignment 20%
- Final exam (3 hours) 80%
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Three contact hours per week plus private study time.
Requisite and Incompatibility
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2199||20 Jul 2015||07 Aug 2015||31 Aug 2015||30 Oct 2015||In Person||N/A|