ISB372 Actuarial Mathematics

3 ECTS - 2-0 Duration (T+A)- 6. Semester- 2 National Credit

Information

Code ISB372
Name Actuarial Mathematics
Term 2022-2023 Academic Year
Semester 6. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 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
1


Course Goal / Objective

To give a basis for financial mathematics , mortalities, insurance

Course Content

The basis of interests and Finance, mortality, annities will be held on

Course Precondition

None

Resources

Aktüerya Modelleri-Fikri Akdeniz Funda Erdugan Actuarial Maths-Bowers

Notes

Aktüerya Modelleri-Fikri Akdeniz Funda Erdugan Actuarial Maths-Bowers


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Students who attend this course will have the capability of interests
LO02 Students who attend this course will have the capability of , rants, interest rates,
LO03 Students who attend this course will have the capability of present value, acumulated value, net premium, insurance
LO04 Students who attend this course will have the capability of rate of immediate death and mortality laws
LO05 Students who attend this course will have the capability of Determination of Life Annuity
LO06 Students who attend this course will have the capability of Life annuity


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 Probability, Statistics and Mathematics
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 3
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 systems and softwares
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 1
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.)
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 4
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 3
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
PLO17 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
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection 2


Week Plan

Week Topic Preparation Methods
1 İnterests, basic, compound interests literature review Öğretim Yöntemleri:
Anlatım
2 Discount literature review Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 equivalent rate, discount rate literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Rant, interest literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Rant, assesment 1 literature review Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
6 Rant, assesment 2 literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Rant, assesment 3 literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Grup Çalışması
8 Mid-Term Exam literature review Ölçme Yöntemleri:
Yazılı Sınav
9 Annuities, life tables literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 rate of immediate death and mortality laws literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Determination of Life Annuity literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Life annuity literature review Öğretim Yöntemleri:
Soru-Cevap
13 Life annuity 2 literature review Öğretim Yöntemleri:
Soru-Cevap
14 Life annuity 3 literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Life annuity 4 literature review Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
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 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 07.12.2022 01:38