• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Classification Advanced
  • Course subject Statistics
  • Areas of interest Actuarial Studies, Finance, Statistics
  • Academic career PGRD
  • Course convener
    • AsPr Boris Buchmann
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2020
    See Future Offerings

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:

  1. Explain in detail the fundamental concepts of probability theory and its position in modern statistical and mathematical sciences and applied contexts;
  2. Demonstrate accurate and efficient use of complex probability theory techniques;
  3. Demonstrate in depth capacity for mathematical reasoning through analyzing, proving and explaining concepts from probability theory; and
  4. Apply complex problem-solving techniques using probabilistic methods in various situations.

Other Information

Indicative Assessment

  1. 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

To enrol in this course you must have completed STAT7004. Incompatible with STAT3004.

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.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
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.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
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
3245 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 2020 In Person N/A

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