GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
RISK ANALYSIS/İST3023
Course Title: RISK ANALYSIS
Credits 3 ECTS 4
Course Semester 5 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
The concept of definition of risk, its properties in the general insurance problems.
The concept of claim frequency, claim size in the general insurance problems.
The ability of using some statistical features, statistical distributions in the general insurance problems.
To compute some probabilities, to construct hypothesis testing about claim number, claim size.
To compute the risk premium, claim frequency rate in the general insurance problems
To gain the ability of making use of some statistical techniques in general insurance problems

 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Definition of risk, its properties
2. Week  General insurance problems and random variables used in general insurance
3. Week  Definition of claim frequency, claim size
4. Week  The expected value and variance of claim frequency,and of claim size
5. Week  Conditional distribution, conditional expected value, conditional variance
6. Week  Statistical distributions useful in general insurance: Normal, log-normal distribution
7. Week  Pareto distribution, gamma distribution
8. Week  Poisson distribution, binomial distribution, Midterm
9. Week  Negative binomial distribution, heterogeneity of risk
10. Week  Hypothesis testing about claim number, claim size
11. Week  Point estimation, confidence intervals
12. Week  Risk factors, additive, multiplicative models
13. Week  Risk premium, claim frequency rate
14. Week  Claim size, premium calculation
15. Week  Final exam
16. Week  --
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
2
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
8
1
8
 Searching in Internet and Library
10
1
10
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
10
1
10
 Final Exam and Preperation for Final Exam
10
3
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Emel BAŞAR)
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/ebasar)
 -- EMAIL(S) OF LECTURER(S)
   (ebasar@gazi.edu.tr)