| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Understand the fundamental characteristics of science and research definitions.
- Learn the stages of the research process, decide on the problem area, and develop the ability to conduct literature reviews and formulate hypotheses.
- Identify research methods and select appropriate data collection techniques.
- Prepare data collection tools and conduct pre-tests and case studies.
- Develop a data analysis and data collection plan.
- Decide on the study population, determine the sample, and draw the sample.
- Implement the data analysis plan and write a comprehensive research plan.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | This course aims to enable students to use scientific research methods to analytically solve a problem they encounter in business science, providing them with the skills to collect data, model, analyze, interpret findings, and write reports throughout the research process. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction |
|
2nd Week |
Scientific research, fundamental concepts in research methods, types and tools of research |
|
3rd Week |
Selection of the research topic and problem, literature review |
|
4th Week |
Determination of research variables, formulation of research hypotheses |
|
5th Week |
Publication ethics, citation, proper literature writing techniques, common plagiarism mistakes |
|
6th Week |
Measurement and scaling in research, sources of error in measurements and measurement errors |
|
7th Week |
Calculation of sample size |
|
8th Week |
Midterm exam |
|
9th Week |
Validity and reliability in measuring data |
|
10th Week |
Data collection methods |
|
11th Week |
Data collection methods |
|
12th Week |
SPSS program data editing menus, descriptive statistics analyses |
|
13th Week |
Descriptive statistics analyses, frequency analyses |
|
14th Week |
Hypothesis tests, correlation and regression |
|
| Recommended or Required Reading | Gürbüz, S., & Şahin, F. (2018). Sosyal bilimlerde araştırma yöntemleri: Felsefe, yöntem, analiz (5th ed.). Seçkin Yayıncılık.
Balcı, A. (2002). Sosyal bilimlerde araştırma. Pegem Akademi Yayıncılık. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Project
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
30 |
| Total(%) |
|
30 |
| Contribution of In-term Studies to Overall Grade(%) |
|
30 |
| Contribution of Final Examination to Overall Grade(%) |
|
70 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
2 |
28 |
| Preparation for Final exam |
1 |
30 |
30 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
20 |
20 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1 |
1 |
| Homework |
1 |
25 |
25 |
| Total Work Load | 147 |
| Total Work Load / 30 (h) | 4.9 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
