Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RISK ANALYSIS AND ACTUARIAL MODELING UAKT306 6. Semester 2 + 2 3.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery Oral presentation
Course Coordinator
Instructors
Assistants
Goals To learn required therotical information for actuarial modelling,to determine an appropriate model for insurance portfolio data with analyzing,to measure the reliability of these models.
Course Content Characteristics of Actuarial Models, Claim Frequency Models, Generating New Distributions, Modifications of the Loss Random variables, Emprical Loss Distributions, Aggegate Loss Models, Risk Theory, Individual Risk Models, Approximating to Individual Risk Models, Collective Risk Models, Coverage Modifications, Comparison of Models and Model Choice
Learning Outcomes 1) Defines actuary models
2) Relates risk analysis methods with the insurance sector
3) Applies risk analysis methods
4) Relates risks
5) Defines and classifies risks.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Characteristics of Actuarial Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
2. Week Claim Frequency Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
3. Week Claim Frequency Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
4. Week Generating New Distributions Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
5. Week Modifications of the Loss Random variables Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
6. Week Emprical Loss Distributions Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
7. Week Aggegate Loss Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
8. Week Midterm exam

9. Week Risk Theory Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
10. Week Individual Risk Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
11. Week Approximating to Individual Risk Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
12. Week Collective Risk Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
13. Week Collective Risk Models Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
14. Week Coverage Modifications Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
15. Week Comparison of Models and Model Choice Lecture; Question Answer; Problem Solving

 Presentation (Including Preparation Time)
16. Week Final exam


Sources Used in This Course
Recommended Sources
BOWERS N.L., GERBER H.U., HICKMAN J.C., JONES D.A. & NESBITT C. J., 1997, Actuarial Mathematics
CUNNIGHAM, R. J., HERZG, T. N. & LONDON, R. L., 2008, Models for Quantiying Risk, Actex Publications Inc.
DICKSON, C.M., 2004, Insurance Risk and Ruin, Cambridge University Press, Cambridge.
KLUGMAN, S.A., PANJER, H.H. & WILLMOT, G.E., 2004, Loss Models From Data to Decisions, John Wiley,

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1500000
PY2500000
PY3500000
PY4500000
PY5500000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 2 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 24
Final Exam 1 2
Time to prepare for Final Exam 1 24
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload