The course provides students with an advanced academic education in Mathematical Actuarial Science.
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Lectures, application exercises by topic in classroom .
Principle Sources
- Prof.Dr. Fikri Akdeniz, Yard.Doç.Dr. Funda Erdugan, Aktüerya Matematiği ve Yaşam Analizi, Akademisyen Kitabevi, 2014.
Other Sources
Course Schedules
Week
Contents
Learning Methods
1. Week
Survival models
Lecture
2. Week
Some actuarial concepts in survival analysis
Some actuarial concepts in survival analysis
Some actuarial concepts in survival analysis
Some actuarial concepts in survival analysis
Lecture
3. Week
Force of Mortality
Lecture
4. Week
Common Analytical Survival Models
Lecture
5. Week
Life tables
Lecture
6. Week
Actuarial Models
Lecture
7. Week
Introduction to life insurance
Lecture
8. Week
midterm
9. Week
Payments paid at the end of the year of death.
Lecture
10. Week
Further properties of the APV
Lecture
11. Week
Payments at the end of the m-thly time interval
Lecture
12. Week
payments paid at the end of the year
Lecture
13. Week
Life annuities
Lecture
14. Week
Life annuities
Lecture
15. Week
Final exam
16. Week
Final exam
17. Week
Final exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Final Exam
1
60
Program Outcomes
PO-1
Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2
Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3
Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4
Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5
Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6
Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7
Using time effectively in inventing solutions by implementing analytical thinking.
PO-8
Understanding professional ethics and responsibilities.
PO-9
Having the ability to behave independently, to take initiative, and to be creative.
PO-10
Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11
Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1
Has an advanced academic education in Mathematical Actuarial Science.
LO-2
Solve the basic problems in Financial and Actuarial fields.
LO-3
Solve practical problems associated with the Insurance industry being aware of relevant computer software to assist in the solution of practical problems.
LO-4
Set up probability models for insurance mathematics
LO-5
Apply the notions of probability for actuarial science.
