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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
BUSINESS MANAGEMENT DEPARTMENT
2226 ACCOUNTING AND FINANCE
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
IMF 529
SCIENTIFIC RESEARCH TECHNIQUES AND DATA ANALYSIS
3 + 0
1st Semester
6
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Compulsory
Course Objective
he aim of this course is to examine scientific research process (identifying a problem, data collection, data analysis and interpretation of results), to review major scientific research methods (experimental method, descriptive method et al.), and to provide students with knowledge of techniques such as finding right research question, hypothesis formation, conceptualization, assessment, data collection, data analysis, data evaluation / interpretation and report writing. In the course, the concept of ethics and ethical theory, research ethics and publication ethics, unethical behavior will be highlighted. The other aim of the course is to provide students with knowledge and awareness of the most common violations of research and publication ethics and their prevention methods, and what should be done if ethical violations identified in scientific publications. In addition the contribution of this course to students is to gain analytical and comparative skills in analyzing and modeling the data via statistical and econometric softwares and practises of financial data via financial modeling
Course Content
In the course, the concept of ethics and ethical theory, research ethics and publication ethics, unethical behavior will be highlighted. The other aim of the course is to provide students with knowledge and awareness of the most common violations of research and publication ethics and their prevention methods, and what should be done if ethical violations identified in scientific publications. Analytical research and econometric modeling to be able to have the instrumental position and statistical packages (SPSS, STATA, E-Views, Excel, etc.) will be introduced. Macro and micro data and analysis will be provided through the creation of financial models.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Understanding the definition and purpose of science
2
Learning research methods and data collection
3
Ölçüm ve test tekniklerini öğrenmek
4
To gain the skill for the scientific data Investigation, analysis and interpretation
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
LO 001
LO 002
LO 003
LO 004
Sub Total
Contribution
0
0
0
0
0
0
0
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
4
56
Assignments
5
6
30
Mid-terms
1
13
13
Final examination
1
15
15
Total Work Load
ECTS Credit of the Course
156
6
COURSE DETAILS
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L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes