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Course Details
KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Master Audiology with Thesis
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
82310100 Scientific Research Techniques 1 Autumn 1 3+0+0 7,5 7,5
Course Type Compulsory
Course Cycle Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Berna BAYIR
Instructor Assistant(s) -
Course Content
Science-scientific Method-scientific research, types of scientific research, scientific research process, determination of research problem-variables and measuring levels, research method and determination, universe-sampling, data collection, Collection methods and measurement, data processing, analysis of data, relational and predictive analyses, findings and comments, report, thesis, important issues in writing homework, investigation of research process in case studies (sample events)
Objectives of the Course
Determination of how the scientific basis of a research should be done, what type of design and analysis process should be monitored in which types of problems are associated with exemplary events; Introduction of the use of package programs in computer environment in the implementation of numerical analysis techniques to be used in the process of data processing, analysis and interpretation of data, especially in applied research
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Weekly Detailed Course Contents
Week Topics
1 Science-scientific Method-scientific research
2 Types of scientific research
3 Scientific research Process
4 Determination of research problem-variables and measuring levels
5 Research method and determination
6 Universe-Sampling
7 Data collection
8 Data collection methods and measurement
9 Data processing
10 Analysis of data, relational and predictive analyses
11 Findings and comments
12 Report, thesis, important topics in writing homework
13 Investigation of the research process in case studies (sample events)
14 Investigation of the research process in case studies (sample events)
Textbook or Material
Resources Remzi Altunışık, Recai Coşkun, Engin Yıldırım ve Serkan Bayraktaroğlu. (2012). Sosyal Bilimlerde Araştırma Yöntemleri, 7. Baskı. Sakarya: Sakarya Yayıncılık. 2 Hüner Şencan. (2007). Bilimsel Araştırma, Ankara: Seçkin Yayıncılık. 3 Ali Yıldırım ve Hasan Şimşek. (2011). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. 8. Baskı. Anakara: Seçkin Yayıncılık.
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Laboratory - -
Presentation - -
Seminar - -
Midterms - -
Final Exam - -
Total 0 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 0 0 0
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 0 0 0
Midterms 0 0 0
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 0 0 0
Other 0 0 0
Total Work Load: 0
Total Work Load / 30 0
Course ECTS Credits: 0