Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 2, Parkville - Taught on campus.
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
|Recommended Background Knowledge:||Please refer to Prerequisites and Corequisites.|
|Non Allowed Subjects:||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.|
|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/
CoordinatorMiss Ping Chen
Topics include experience rating; claim run-off triangles; generalised linear models; time series and their applications; simulation; decision theory.
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|
|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.|
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