At the end of this course, the students; 1) Have a grasp of the concept of demography and basic demography definitions. 2) Learn and apply demographic events and their formulations. 3) are able to comprehend and model life modeling. 4) Perceive and apply parametric and non-parametric life models. 5) Learn and apply life tables and their use in insurance.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
Probability Theory
COURSE DEFINITION
In this course, basic demographic definitions, the concept of demographics, demographic events and their formulations, life models, parametric and non-parametric life models, and life tables and their use in the insurance industry are given.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Basic demography definitions
2nd Week
Basic demography definitions
3rd Week
The concept of demography
4th Week
The concept of demography
5th Week
Demographic events and their formulations
6th Week
Demographic events and their formulations
7th Week
Survival models
8th Week
Midterm
9th Week
Survival models
10th Week
Parametric and non-parametric survival models
11th Week
Parametric and non-parametric survival models
12th Week
Life tables and their usage in insurance sector
13th Week
Life tables and their usage in insurance sector
14th Week
Evaluation
RECOMENDED OR REQUIRED READING
1. Sharyock H.S.,Siegel J.S., MethodandMAterials of Demography, AcademicPress, New York, 1982. 2. Baralay W.G.,TechniquesPopulation Analysis, LongmanPress, New York, 1958. 3. Coale A.J.,Demeny P., Regional Model Life TablesandStablePopulation, Princeton, 1966.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
25
Project
1
35
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
40
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1
1
Preparation for Quiz
Individual or group work
14
2
28
Preparation for Final exam
1
30
30
Course hours
13
3
39
Preparation for Midterm exam
1
15
15
Laboratory (including preparation)
Final exam
1
1
1
Homework
Project
1
30
30
Total Workload
144
Total Workload / 30
4,8
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)