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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Research On Structure of Society CEK465 Elective Bachelor's degree 4 Fall 4

Name of Lecturer(s)

Associate Prof. Dr. Zeynep Benan DONDURUCU
Associate Prof. Dr. Doğa Başar SARIİPEK
Associate Prof. Dr. Betül URHAN ÇELİK
Assistant Prof. Dr. Beril BAYKAL
Assistant Prof. Dr. Arzu ÖZSOY ÖZMEN

Learning Outcomes of the Course Unit

1) Developing research, planning and application skills for the analysis of social structure.
2) Specifying the resources regarding social structure studies.
3) Explaining basic sociological methods and approaches used in society structure analysis
4) Developing practical skills in research techniques.
5) Recognizing relevant data bases and practicing ways of accessing and using them.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8
Learning Outcomes
1 Middle Middle Middle Middle Middle Middle Middle Middle
2 No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Research techniques

Course Contents

In this lecture, a research plan and implementation will be carried out to enable these students to understand the social problems.

Weekly Schedule

1) Readings about the selected social problem for the research
2) Readings about the selected social problem for the research
3) Readings about the selected social problem for the research
4) Readings about the selected social problem for the research
5) Giving information about the research process
6) Giving information about the research process
7) Giving information about the research process
8) Midterm Examination/Assessment
9) Extracting and coding of research data
10) Extracting and coding of research data
11) Preparation of SPSS database
12) Data input
13) Data input
14) Data analysis
15) Evaluation of data
16) Final Examination

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

40%

 

Number

Percentage

Semester Studies

Quiz

1

40%

Practices

1

60%

 

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

English

Work Placement(s)

Not Required