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Curricular information is subject to change
To be able to select appropriate probability distributions for use in modelling losses in insurance and banking.Know how to predict and determine reserves for claims and losses taking into account trends and inflation. To be able to select a reasonable model for short term aggregate losses in a portfolio of policies or loans.
Indicative Module Content:Decision and Game theory. Loss distributions. Risk models. Claims projection triangles.
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Small Group | 6 |
Tutorial | 10 |
Computer Aided Lab | 2 |
Autonomous Student Learning | 84 |
Total | 120 |
A good basic knowledge of probability and statistics theory is a requirement to take this course.
Learning Recommendations:Students should have a knowledge of statistical inference at a level equivalent to that which would be achieved upon completion of STAT20100, STAT20110, STAT30240.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: Final 2 hour exam | 2 hour End of Trimester Exam | No | Other | No | 80 |
Continuous Assessment: Regular Homework Problems | Varies over the Trimester | n/a | Other | No | 20 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
4 assignments each worth 5% of final grade, marked with feedback and returned to students, plus group feedback in tutorial sessions.