ISB406 Risk Management in Actuary

5 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB406
Name Risk Management in Actuary
Term 2015-2016 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Üniversite Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
(Bahar) (Z Group) ()


Course Goal / Objective

to learn the utility theory, individual and collective risk models, ruin theory and premium principle

Course Content

actuaria, risk, utility theory and ruin theory

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Have knowledge of actuaria and rsik
LO02 Have knowledge about utility theory
LO03 Have knowledge about indiviual and collective risk models
LO04 have knwoledge of ruin theory
LO05 Know premiums


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
PLO02 - Emphasize the importance of Statistics in life
PLO03 - Define basic principles and concepts in the field of Law and Economics
PLO04 - Produce numeric and statistical solutions in order to overcome the problems
PLO05 - Use proper methods and techniques to gather and/or to arrange the data
PLO06 - Utilize computer systems and softwares
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
PLO08 - Apply the statistical analyze methods
PLO09 - Make statistical inference(estimation, hypothesis tests etc.)
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 - Construct a model and analyze it by using statistical packages
PLO13 - Distinguish the difference between the statistical methods
PLO14 - Be aware of the interaction between the disciplines related to statistics
PLO15 - Make oral and visual presentation for the results of statistical methods
PLO16 - Have capability on effective and productive work in a group and individually
PLO17 - 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
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Definitions of Actuarial risk
2 Utility theory
3 Utility theory and insurance
4 İndividual risk models
5 Application: optimal reinsurance
6 Collective Risk Models, claims
7 Compound distributions, Panjer´s recursion, stop-loss insurance
8 Mid-term exam
9 ruin theory
10 Risk process
11 Exponantial claims, Beekman´s convolution formula
12 Premium Principle and properties of premium principles
13 Premium Principle and properties of premium principles
14 Bonus-malus systems
15 Credibility theory
16 Final Exam
17 Final Exam


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 13 3 39
Out of Class Study (Preliminary Work, Practice) 13 3 39
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 20 20
Total Workload (Hour) 108
Total Workload / 25 (h) 4,32
ECTS 5 ECTS

Update Time: 23.03.2016 08:53