Actuarial Modelling II

Subject ACTL30002 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 3 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: Three hours of lectures and/or tutorials per week
Total Time Commitment: Not available
Prerequisites:

300-204 Financial Mathematics II and 620-202 Statistics.
Corequisites: None
Recommended Background Knowledge: Please refer to Prerequisites and Corequisites.
Non Allowed Subjects: Students may not gain credit for both 300-313 Actuarial Modelling II and 300-330 Survival Models: Theory and Applications.
Core Participation Requirements:

For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

Coordinator

Dr David Pitt

Contact

dgpitt@unimelb.edu.au

Subject Overview:

Topics include exact and census methods for estimating transition intensities based on age; goodness of fit and smoothness of graduated estimates versus crude estimates; actuarial modelling; general principles of stochastic processes; Markov chains in actuarial work.
Objectives:
  • Describe the principles of actuarial modelling
  • Describe the general principles of stochastic processes, and their classification into different types
  • Define and apply a Markov chain
  • Describe how to estimate transition intensities depending on age, exactly or using the census approximation
  • Describe how to test crude estimates for consistency with a standard table or a set of
    graduated estimates, and describe the process of graduation
  • Apply pre-requisite mathematical and statistical concepts to the solution of problems on the above topics
Assessment:

A 2-hour end of semester examination (80%) and up to three assignments totalling not more than 20 pages (20%).
Prescribed Texts: You will be advised of prescribed texts by your lecturer.
Recommended Texts:

Information Not Available
Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

  • High level of development: written communication; problem solving; statistical reasoning; application of theory to practice; synthesis of data and other information.
Notes:

Students may not gain credit for both 300-313 Actuarial Modelling II and 300-330 Survival Models: Theory and Applications.
Related Course(s): Master of Accounting
Master of Accounting

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