Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
STA 5094	LOSS MODELS	ELECTIVE	3	0	0	8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR GÜÇKAN YAPAR

Offered to

Statistics
Statistics
STATISTICS

Course Objective

The objective of this course is to cover actuarial models of loss contingencies. We will cover statistical concepts of location and dispersion, inferences from insurance data.

Learning Outcomes of the Course Unit

1	Review the theory of probabilty.
2	Learn estimation theory
3	Learn properties of estimators
4	Generate interpolating and smoothing
5	Generate simulation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Review of Probability
2	Review of Mathematical Statistics
3	Non-parametric Empirical Point Estimation
4	Kernel Smoothing Estimators
5	Emprical Estimation from Grouped Data
6	Estimation from Censored and Truncated Data
7	Properties of Survival Estimators
8	Midterm exam
9	Moment and Percentile Matching
10	Discussion and problem solving
11	Maximum Likelihood Estimation
12	Interpolating and Smoothing
13	Simulation, homework
14	Review

Recomended or Required Reading

Textbook(s):
Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot, Loss Models: From Data to Decisions,2nd Edition, John Wiley and Sons Inc., 1999.

Planned Learning Activities and Teaching Methods

The course consists of lecture, class discussion and problem solving.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	ASG	ASSIGNMENT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.30 + ASG * 0.20 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Exams, homework.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen.

Contact Details for the Lecturer(s)

DEU Faculty of Science, Department of Statistics
e-mail: guckan.yapar@deu.edu.tr
Tel: 0232 301 85 59

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	3	42
Preparations before/after weekly lectures	14	3	42
Preparation for final exam	1	32	32
Preparation for midterm exam	1	28	28
Preparing assignments	1	40	40
Final	1	2	2
Midterm	1	2	2
TOTAL WORKLOAD (hours)			188

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.2	PO.3	PO.4	PO.6	PO.8	PO.10
LO.1	3	4	5	5	5	5
LO.2	3	4	5	5	5	5
LO.3	3	4	5	5	5	5
LO.4	5	4	5	5	5	5
LO.5	5	4	5	5	5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION