Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ADVANCED RESEARCH METHODS 45101852 1 + 0 1.0 2.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals To learn scientific research and techniques, to ensure that the level of planning, realizing and reporting the master thesis
Course Content research methods
Learning Outcomes 1) learn scientific research methods in theory and practice
2) to be able to identify problem, , to do literature review, data collection, and data analysis
3) to evaluate the findings of the study based on scientific methods and techniques

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Science, scientific knowledge, historical development Lecture
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
2. Week Scientific research process, selection of research topic Lecture
Brainstorming
 Homework Presentation (Including Preparation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
3. Week research planning, literature review, hypothesis strategy development Lecture; Question Answer
Brainstorming
Case Based Learning 		Homework Presentation (Including Preparation Time)
4. Week sampling of research universe, definition of main population, sampling environment, sampling method Lecture; Question Answer
Brainstorming
 Homework Presentation (Including Preparation Time)
5. Week data, data sources, data collection methods, data organization and analysis Lecture
Brainstorming
 Homework Presentation (Including Preparation Time)
6. Week survey, interview and observation techniques Lecture
Brainstorming
 Homework Presentation (Including Preparation Time)
7. Week quantitative research methods, preparation of data for analysis, data preparation process, measurement and measurement errors Lecture
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
8. Week Qualitative research methods Lecture
Brainstorming
Brain Based Learning 		Homework Presentation (Including Preparation Time)
9. Week Application activities Question Answer
Large Group Discussion
Project Based Learning 		Homework Presentation (Including Preparation Time)
10. Week research report preparation, scope, writing rules Lecture
Brainstorming
Project Based Learning 		Homework Presentation (Including Preparation Time)
11. Week Research ethics, scientific ethical rules Lecture
Brainstorming
 Homework Presentation (Including Preparation Time)
12. Week Research report preparation and statistics Lecture
Large Group Discussion
Project Based Learning 		Homework Presentation (Including Preparation Time)
13. Week Exam Problem Solving

Project Based Learning 		Presentation (Including Preparation Time)
14. Week Assesment and evaluation Lecture
Brainstorming
Project Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Yönetim Biliminde İleri Araştırma Yöntemleri ve Uygulamalar, Beta Basım Yayım Dağıtım A.Ş. İstanbul, 2008-Bilimsel Araştırma Yöntemleri Editör:Abdurrahman Tanrıöğen Yayınevi: Anı Yayınları Sayfa Sayısı: 304 İlk Baskı Yılı: 2011

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45544

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 1
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 2 3
Midterm Exam 1 7
Final Exam 1 14
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload