GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
RISK ANALYSIS/İST-323
Course Title: RISK ANALYSIS
Credits 3 ECTS 5
Semester 5 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- NAME OF LECTURER(S)
  Assist. Prof. Dr.Emel BAŞAR
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/ebasar
 -- EMAIL(S) OF LECTURER(S)
  ebasar@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
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
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Actuaria- STAT-330
 --COURSE CONTENT
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
9. Week  MIDTERM EXAM
10. Week  Negative binomial distribution, heterogeneity of risk
11. Week   Hypothesis testing about claim number, claim size
12. Week  Point estimation, confidence intervals
13. Week  Risk factors, additive, multiplicative models
14. Week  Risk premium, claim frequency rate
15. Week  Claim size, premium calculation
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Hossack, I. B., Pollard, J. H., Zehnwirth, B., 1983, Introductory Statistics with Applications in General Insurance, Cambridge University Press.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Practise
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
17
17
 Final and Studying for Final
1
17
17
 Other
49
1
49
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 ECTS: 
5
 -- 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.X
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