ISB331 Actuerial Models

5 ECTS - 3-0 Duration (T+A)- 5. Semester- 3 National Credit

Information

Code ISB331
Name Actuerial Models
Term 2024-2025 Academic Year
Semester 5. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU
Course Instructor Prof. Dr. ALİ İHSAN GENÇ (A Group) (Ins. in Charge)


Course Goal / Objective

The aim is to teach the basics of the actuarial science.

Course Content

The scope is the basics of actuarial science.

Course Precondition

None

Resources

Actuarial Mathematics-N.L. Bowers, H.U. Gerber, J.C. Hickman, D.A. Jones, C.J. Nesbitt

Notes

Actuarial Mathematics-N.L. Bowers, H.U. Gerber, J.C. Hickman, D.A. Jones, C.J. Nesbitt


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the utility theory.
LO02 Explains the relation between utility and insurance.
LO03 Constructs an individual risk model for a short term.
LO04 Finds the distribution of the sum of some independent random variables.
LO05 Uses the central limit theorem.
LO06 Does calculations with survival functions.
LO07 Explains a life table.
LO08 Explains the importance of the actuarial science in real life.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Statistics
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 3
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 4
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Introduction to actuarial science literature review Öğretim Yöntemleri:
Anlatım
2 Utility function literature review Öğretim Yöntemleri:
Anlatım
3 Maximizing expected utility literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Optimal insurance literature review Öğretim Yöntemleri:
Anlatım
5 Individual risk model literature review Öğretim Yöntemleri:
Anlatım
6 Distribution of sums of random variables literature review Öğretim Yöntemleri:
Anlatım
7 Approximate distribution of sums of random variables literature review Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
8 Mid-Term Exam literature review Ölçme Yöntemleri:
Yazılı Sınav
9 Stop-loss insurance and normal distribution literature review Öğretim Yöntemleri:
Anlatım
10 Survival distributions literature review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Force of mortality literature review Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
12 Life table and technical notations literature review Öğretim Yöntemleri:
Anlatım
13 A life table example literature review Öğretim Yöntemleri:
Anlatım, Bireysel Çalışma
14 A deterministic approach for life table calculations literature review Öğretim Yöntemleri:
Anlatım
15 Life table calculations via interpolation literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Term Exams literature review Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams literature review Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 11.06.2024 01:53