Information Package

Program of Insurance and Risk Management

SİGO451

RISK MANAGEMENT

Course Code
SİGO451
Semester
Seventh Term (Fall)
Theory+Practice
3 + 0
ECTS
5
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study4
SemesterSeventh Term (Fall)
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Define risk and distinguish among different types of risk through classification.
  2. Apply risk management processes and risk control techniques in practical scenarios.
  3. Perform basic estimations of damage probabilities.
  4. Conduct damage estimation using linear regression and normal distribution methods.
  5. Prioritize risks and make decisions based on these priorities.
  6. Conduct financial analyses of the time value of money in insurance and perform value-at-risk computations.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course covers the definition and classification of risk, along with risk management, control techniques, and loss estimation methods. Students will learn techniques from basic loss probability estimation to prediction using linear regression and normal distribution, and gain practical skills in financial analysis related to the time value of money in insurance, including value-at-risk calculations using Excel.
Course Contents
WEEK TOPICS
1st Week Definition and classification of risk
2nd Week Introduction to risk management
3rd Week Risk control and financing techniques
4th Week Loss estimation: basic level loss probability estimate
5th Week Loss estimation: using linear regression
6th Week Loss estimation: with normal distribution
7th Week Prioritization of risks
8th Week Midterm exam
9th Week Time value of money in insurance: reserve funding and insurance coverage analysis
10th Week Time value of money in risk control and investment decisions: net present value and internal rate of return
11th Week Value at risk (VaR)
12th Week VaR applications: variance-covariance and historical simulation method
13th Week Excel application of VaR
14th Week General review
Recommended or Required ReadingRejda, G. E., & McNamara, M. J. (2021). Principles of risk management and insurance (14th ed.). Pearson.

Kırbeşoğlu, E. (2022). Risk yönetimi ve sigortacılık. Ankara: Akademi Consulting Training Yayınları.

Bölükbaşı, A. G. (2001). Sigortacılıkta risk yönetimi. İstanbul: Türkmen Kitabevi.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 20
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 14 3 42
Preparation for Final exam 1 40 40
Course hours 13 3 39
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 1 1
Homework 1 5 5
Total Work Load148
Total Work Load / 30 (h)4.93
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
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