ISB563 Risk Theory

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

Information

Code ISB563
Name Risk Theory
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU


Course Goal

To introduce risk and risk analysis. The aim of this course is to teach the students how to use risk analysis in decision making.

Course Content

Definition of risk for systems and processes, Stochastic basis of risk and special functions, Model building and analysis, Discrete and continuous situations, Demand process and model, Number of demand process and model, Distribution of cumulative demand amount, Uniform homogeneity, Risk management in insurance, Stock process and bankruptcy problems.

Course Precondition

none

Resources

Schmidli- Risk Theory

Notes

Schmidli- Risk Theory


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Have in-depth theoretical and practical knowledge about Probability and Statistics
LO02 Make scientific research on Mathematics, Probability and Statistics.
LO03 They have the knowledge to make doctoral plans in the field of statistics.
LO04 Has comprehensive knowledge about analysis and modeling methods used in statistics.
LO05 Comprehensive knowledge of methods used in statistics.
LO06 Indicates statistical problems, develops methods to solve.
LO07 Apply innovative methods to analyze statistical problems.
LO08 Designs and applies the problems faced in the field of analytical modeling and experimental researches.
LO09 Access to information and do research about the source.
LO10 Develops solution approaches in complex situations and takes responsibility.
LO11 It has the confidence to take responsibility.
LO12 He/She demonstrates that he is aware of his / her new and developing practices.
LO13 Transmits the processes and results of their studies clearly in written and oral form in national and international environments.
LO14 It considers the social, scientific and ethical values in the collection, processing, use, interpretation and announcement stages of data and in all professional activities.
LO15 It constantly renews itself in statistics and related fields.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have in-depth theoretical and practical knowledge about Probability and Statistics 4
PLO02 Bilgi - Kuramsal, Olgusal They have the knowledge to make doctoral plans in the field of statistics. 4
PLO03 Bilgi - Kuramsal, Olgusal Has comprehensive knowledge about analysis and modeling methods used in statistics.
PLO04 Bilgi - Kuramsal, Olgusal Has comprehensive knowledge of methods used in statistics. 3
PLO05 Bilgi - Kuramsal, Olgusal Make scientific research on Mathematics, Probability and Statistics.
PLO06 Bilgi - Kuramsal, Olgusal Indicates statistical problems, develops methods to solve. 3
PLO07 Bilgi - Kuramsal, Olgusal Apply innovative methods to analyze statistical problems. 3
PLO08 Bilgi - Kuramsal, Olgusal Designs and applies the problems faced in the field of analytical modeling and experimental researches.
PLO09 Bilgi - Kuramsal, Olgusal Access to information and do research about the source.
PLO10 Bilgi - Kuramsal, Olgusal Develops solution approaches in complex situations and takes responsibility. 2
PLO11 Bilgi - Kuramsal, Olgusal Has the confidence to take responsibility. 3
PLO12 Beceriler - Bilişsel, Uygulamalı They demonstrate being aware of the new and developing practices.
PLO13 Beceriler - Bilişsel, Uygulamalı He/She constantly renews himself/herself in statistics and related fields. 3
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Communicate in Turkish and English verbally and in writing. 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Transmits the processes and results of their studies clearly in written and oral form in national and international environments.
PLO16 Yetkinlikler - Öğrenme Yetkinliği It considers the social, scientific and ethical values ​​in the collection, processing, use, interpretation and announcement stages of data and in all professional activities.
PLO17 Yetkinlikler - Öğrenme Yetkinliği Uses the hardware and software required for statistical applications. 3


Week Plan

Week Topic Preparation Methods
1 Risk notations reading Öğretim Yöntemleri:
Anlatım
2 Risk measurement study the topics covered in the previous week Öğretim Yöntemleri:
Soru-Cevap
3 Classification of risk models study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
4 Risk distribution study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
5 Risk intensity and hazard rates study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
6 Individual Risk Models study the topics covered in the previous week Öğretim Yöntemleri:
Soru-Cevap
7 Configure risk study the topics covered in the previous week Öğretim Yöntemleri:
Soru-Cevap
8 Mid-Term Exam exam Ölçme Yöntemleri:
Yazılı Sınav
9 Structural reliability study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
10 Birnbaum and Barlow-Proschan index study the topics covered in the previous week Öğretim Yöntemleri:
Soru-Cevap
11 Collective Risk Models study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
12 Probability of earnings, risk theory in insurance study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
13 Sparre Andersen Model study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
14 Sparre Andersen Model 2 study the topics covered in the previous week Öğretim Yöntemleri:
Anlatım
15 Project presentation study the topics covered in the previous week Öğretim Yöntemleri:
Soru-Cevap
16 Term Exams exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams exam 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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS