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STAT41050

Academic Year 2024/2025

Statistical Modelling for Act (STAT41050)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Dr Adrian O'Hagan
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Loss distributions. Reserving. Claims modelling. Copulas. Extreme Value Theory. Principal Components Analysis. Time series models.

About this Module

Learning Outcomes:

Loss distributions. Reserving. Claims modelling. Copulas. Extreme Value Theory. Principal Components Analysis. Time series models.

Indicative Module Content:

Loss distributions. Reserving. Claims modelling. Copulas. Extreme Value Theory. Principal Components Analysis. Time series models.

Student Effort Hours:
Student Effort Type Hours
Lectures

18

Tutorial

10

Computer Aided Lab

2

Autonomous Student Learning

84

Total

114


Approaches to Teaching and Learning:
Active task based learning in tutorials. Material covered in lectures in traditional slides and with code demos. Coding also done live in tutorials. Some blended support via lecture and tutorial material on video. Assignments with marked feedback as individual student exercises.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Final exam End of trimester
Duration:
2 hr(s)
Other No

53

No
Assignment(Including Essay): 4 equally weighted assignments using R and theory Week 4, Week 6, Week 8, Week 10 Other No

20

No
Exam (In-person): Time series exam Week 12 Other No

27

No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Marked assignments returned individually. Group feedback in tutorials

Name Role
Mr Damian Conway Lecturer / Co-Lecturer
Dr Adrian O'Hagan Lecturer / Co-Lecturer
Mr James Hannon Tutor