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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
LIFE TABLES AND MODELS TBS412 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Serpil Cula
LEARNING OUTCOMES OF THE COURSE UNIT 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 DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTProbability Theory
COURSE DEFINITIONIn 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
WEEKTOPICS
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 READING1. 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 METHODSLecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term125
Project135
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 exam111
Preparation for Quiz
Individual or group work14228
Preparation for Final exam13030
Course hours13339
Preparation for Midterm exam11515
Laboratory (including preparation)
Final exam111
Homework
Project13030
Total Workload144
Total Workload / 304,8
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4LO5
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K5         
K6    X   X   X   X
K7  X     X   X  
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K11