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 Spring 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi TUĞCAN DEMİR
Course Lecturer(s): Dr. SERKAN TÜRKELİ
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 Outputs

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
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2)
3)
4)
5)
6)
7)
8) Midterm Exam
9)
10)
11)
12)
13)
14)
15) Final Exam

Sources

Course Notes: 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
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 20
Seminar % 0
Midterms 1 % 30
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
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
Laboratory
Application 13 48
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class 14 81
Presentations / Seminar
Project
Homework Assignments
Quizzes
Preliminary Jury
Midterms 1 2
Paper Submission
Jury
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.