• Offered by Mathematical Sciences Institute
• ANU College ANU Joint Colleges of Science
• Course subject Mathematics
• Areas of interest Economics, Finance, Mathematics, Theoretical Physics
• Course convener
• Prof Andrew Hassell
• Mode of delivery In Person
• Co-taught Course
• Offered in First Semester 2017
Probability Modelling with Applications (MATH3029)

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 describing some practical applications of probability in information theory and option pricing.

The course will provide a sound foundation to progress to MATH3015 (Mathematics of Finance), as well as other honours and post-graduate courses emphasizing the theory of mathematical finance and stochastic analysis.

Note: This is an HPC.

## Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Understand and use fundamental concepts of probability theory
2. Demonstrate accurate and efficient use of probability theory techniques, including limiting processes
3. Solve problems using probabilistic methods and ideas
4. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from probability theory

## Indicative Assessment

Assignments 60% (LO 1-4)

Participation in lectures and tutorials (quizzes, presentations, group work) 5% (LO 1-3)

Final Exam 35% (LO 1-4)

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.

Three lectures per week and regular tutorials.

## Requisite and Incompatibility

To enrol in this course you must have successfully completed STAT2001 or MATH2320 or MATH3116 or STAT2005. Incompatible with MATH6109.

## 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 some basic real analysis. Some knowledge of measure theory would be very helpful, but is not essential to take the course.

## 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

## Course fees

Domestic fee paying students
Year Fee
2017 \$3444
International fee paying students
Year Fee
2017 \$4590
Note: Please note that fee information is for current year only.

## 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.

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
2670 20 Feb 2017 27 Feb 2017 31 Mar 2017 26 May 2017 In Person N/A