Actuarial Statistics

Subject 300-315 (2009)

Note: This is an archived Handbook entry from 2009. Search for this in the current handbook

Credit Points:

12.50

Level:

3 (Undergraduate)

Dates & Locations:

This subject has the following teaching availabilities in 2009:

Semester 2, - 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: -

Prerequisites:

Corequisites:

Recommended Background Knowledge:

Non Allowed Subjects:

Core Participation Requirements:

 CoordinatorDr David Pitt Contact- 

Subject Overview:	Topics include experience rating; claim run-off triangles; generalised linear models; time series and their applications; simulation; decision theory.
Objectives:	-
Assessment:	A 2-hour end-of-semester examination (80%) and up to three assignments totalling not more than 20 pages (20%).
Prescribed Texts:	-
Recommended Texts:	Information Not Available
Breadth Options:	This subject potentially can be taken as a breadth subject component for the following courses: Bachelor of Arts Bachelor of Environments Bachelor of Music 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; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software.
Notes:	Students may not gain credit for both 300-315 Actuarial Statistics and either 300-331 Modelling in Insurance and Finance I or 620-372 Applied Statistical Inference.