ACTUARIAL SCIENCE (TURKISH, NON-THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ISL5303	Statistical Methods in Research	Fall	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	Turkish
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :
Course Lecturer(s):	Dr. SERKAN TÜRKELİ
Recommended Optional Program Components:	None
Course Objectives:	This is a course which aims providing advanced experience in designing, conducting, and reporting a psychological study by using not only quantitative but also qualitative methods. Students are directed to conduct experimental, quasi-experimental or non-experimental projects on which they can implement advanced research techniques and statistical methods. Students will be directed to think critically about all of the stages of a research project from design to reporting in order to reach to maximum level of precision in their real life research efforts. The course will actively integrate the use of SPSS.

Learning Outcomes

The students who have succeeded in this course;
All scientific researching methods and information will be provided for the students who will prepare Thesis and project for graduation.

Course Content

Fundamental Concepts
Research and Planning of the Research
Preparation Process of the Thesis
Introduction to SPSS
Data Input and Creation of Database
Statistical Definitions and Discussions
Coefficient Analyses
Concept of Scale and Its Credibility
One Way Anova Test and Hypotetical Testing
t-Tests and Correlations
Regression Analysis
Sizing Analysis

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)
2)
3)
4)
5)
6)
7)
8)	Midterm Exam
9)
10)
11)
12)
13)
14)
15)	Final Exam

Sources

Course Notes / Textbooks:	Ders Notu olarak her dersten sonra öğrencilere verilecektir.
References:	1. Sosyal Bilimlerde SPSS ile Veri Analizi (Cd Ekli) EZGİ KİTABEVİ Nuran Bayram Yayın Yılı: 2009; 1. Hm. Kağıt 2. Sosyal Bilimlerde Araştırma Yöntemleri (SPSS Uygulamalı) BETA BASIM YAYIM Prof. Dr. A. Hamdi İslamoğlu 3. İstatistiksel Analiz Teknikleri & SPSS'te İşletme Yönetimi Uygulamaları KİŞİSEL YAYINLAR Yrd. Doç. Dr. Osman Çevik/ Aziz Akgül

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 10
Project	1	% 20
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Application	13	48
Study Hours Out of Class	14	81
Midterms	1	2
Final	1	2
Total Workload		175

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Acquire the quantitative skills to become an actuary.
2)	Will know about risks and ways to manage risk.
3)	Will know about financial planning and its role in actuarial management.
4)	Will be able to design new products and carry profitability tests and scenario analyses.
5)	Besides gaining competence in theoretical subjects, the graduate will also be aware of practical issues and applications through lecturers and instructors who have market experience.
6)	Will be able to follow all innovations and carry on research on the particular area.
7)	Will share information with colleagues and will use it for project development..
8)	Will be able to apply and make the necessary adaptation to all new rules and regulations.