1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. BUSINESS MANAGEMENT DEPARTMENT
  4. 2269 EXECUTIVE MBA (ENGLISH)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IMF 529SCIENTIFIC RESEARCH TECHNIQUES AND DATA ANALYSIS3 + 01st Semester6

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
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
1Understanding the definition and purpose of science
2Learning research methods and data collection
3Ölçüm ve test tekniklerini öğrenmek
4To gain the skill for the scientific data Investigation, analysis and interpretation

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms11212
Final examination11515
Presentation / Seminar Preparation21530
Report / Project11515
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
 Select Year   


This course is not available in selected semester.


Print

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes