Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Research Methods YBS451 Turkish Compulsory 7. Semester 3 + 0 3.0 6.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to Face
Course Coordinator Dr. Öğr. Üyesi SAİD ALTINIŞIK
Instructor(s) Dr. Öğr. Üyesi SAİD ALTINIŞIK (Güz)
Goals To provide students with a basic knowledge of science and philosophy of science, to design a scientific study (papers, papers, reports, books), to report and to report, to gain the basic logic of qualitative and quantitative research methods and to give a questioning and exploratory way of thinking.
Course Content Basic processes and methods to be followed in conducting a scientific research
Learning Outcomes
# Öğrenme Kazanımı
1 Know the process of survey and manage it.
2 Prepares and submits research reports.
3 Adheres ethical principles to process of research.
4 Students develop critical thinking ability
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction: Science Philosophy, Knowledge and Scientific Knowledge
2. Week Determination of Research Problems
3. Week Critical Resource Scanning
4. Week Creating Research Questions and Hypotheses
5. Week Determination of Research Strategy
6. Week Research Universe and Sampling
7. Week Collection of Secondary Data for Research
8. Week Initial Datas for Surveys Preparation, After Class Study, Lecture, Question and Answer, Discussion, Case Study, Problem Solving
9. Week Collection of Primary Data for Research: Surveys
10. Week Collection of Primary Data for Research: Observation and Interview
11. Week Measurement and Scales in Research
12. Week Basic Data Analysis Methods
13. Week Reporting: Content of the Research Report
14. Week Reporting: The Shape of the Research Report
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Graduates will have a holistic perspective on business functions
2 Graduates will have conceptual knowledge in the field of informatics in the sector average.
3 Graduates may integrate the business functions and IT infrastructure
5 Students will have the ability to define the problem, collect data, analyze, interpret, evaluate, and develop a solution proposal for the solution of problems encountered in business.
8 Gradutes may have basic knowledge and understanding in the field of data science.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 1 2 2 3
PY2 2 2 2 2
PY3 2 3 1 2
PY5 4 3 2 3
PY8 5 4 2 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Altunışık, Coşkun, Yıldırım ve Bayraktaroğlu (2010) Sosyal Bilimlerde Araştırma Yöntemleri: SPSS Uygulamalı, 5. Baskı, Sakarya Kitabevi.
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Dr. Öğr. Üyesi SAİD ALTINIŞIK N.Ö. Vize 40.00
Dr. Öğr. Üyesi SAİD ALTINIŞIK N.Ö. Devam 10.00
Dr. Öğr. Üyesi SAİD ALTINIŞIK N.Ö. Final 50.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Homework 1 14 14
Preparation, After Class Study 14 3 42
Research 14 2 28
Sınavlar
Midterm 1 1 1
Midterm Preparation 1 14 14
Homework 1 4 4
Homework Preparation 1 7 7
Final 1 1 1
Total Workload 153
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 6.0