Rapor Tarihi: 13.04.2026 07:03
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Business Statistics | TOY203 | Turkish | Compulsory | 4. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face-to-face |
| Course Coordinator | Doç. Dr. Yıldırım YILDIRIM |
| Instructor(s) | Doç. Dr. Yıldırım YILDIRIM (Bahar) |
| Goals | To help students grasp the basic concepts of statistics and develop the ability and skills to perform simple statistical calculations |
| Course Content | Definition of statistics and basic concepts related to statistics Definition of science, characteristics of science, and the scientific research process Descriptive statistics, frequency and percentage calculations Statistical series and types of series Categorization of data, organization of data, and presentation using tables and graphs Arithmetic mean, geometric mean, harmonic mean, mode, median, and range calculations Measures of variability and distribution, standard deviation, and the importance of normality General review and reinforcement exercises Concepts of scientific ethics and publication ethics Sampling and sampling methods, the concept of a population Introduction to SPSS and SPSS application Introduction to the SPSS program and SPSS applications Introduction to the SPSS program and SPSS applications Introduction to the SPSS program and SPSS applications |
| # | Öğrenme Kazanımı |
| 1 | By the end of this course, students will be able to identify data in the fields of business management and economics and summarize it using appropriate graphical and tabular methods. |
| 2 | By the end of this course, students will be able to interpret the distribution of data by calculating statistical measures such as the arithmetic mean, mode, median, and standard deviation on datasets. |
| 3 | By the end of this course, students will construct confidence intervals for population parameters based on sample data and test their hypotheses using appropriate test statistics. |
| 4 | By the end of this course, students will be able to apply quantitative methods and analysis when making decisions about their future, both in their professional and personal lives. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Definition of statistics and basic concepts related to statistics | Preparation, After Class Study, Research, Other Activities |
| 2. Week | The definition of science, the characteristics of science, and the scientific research process | Preparation, After Class Study, Research, Other Activities |
| 3. Week | Descriptive statistics, frequency and percentage calculations | Preparation, After Class Study, Research, Other Activities |
| 4. Week | Statistical series and types of series | Preparation, After Class Study, Research, Other Activities |
| 5. Week | Categorizing data, organizing data, and presenting it in tables and graphs | Preparation, After Class Study, Research, Other Activities |
| 6. Week | Calculations of the arithmetic mean, geometric mean, harmonic mean, mode, median, and range | Preparation, After Class Study, Research, Other Activities |
| 7. Week | Measures of variability and distribution, standard deviation, the importance of normality | Preparation, After Class Study, Research, Other Activities |
| 8. Week | Overall assessment and question-answer | Preparation, After Class Study |
| 9. Week | The concepts of scientific ethics and publication ethics | Preparation, After Class Study, Research, Other Activities |
| 10. Week | Sampling and sampling methods, the concept of a population | Preparation, After Class Study, Research, Other Activities |
| 11. Week | Introduction to SPSS and SPSS Applications | Preparation, After Class Study, Practice |
| 12. Week | Introduction to SPSS and SPSS Applications | Preparation, After Class Study, Practice |
| 13. Week | Introduction to SPSS and SPSS Applications | Preparation, After Class Study, Practice |
| 14. Week | Introduction to SPSS and SPSS Applications | Preparation, After Class Study, Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Comprehensive and systematic knowledge of concepts, theories, principles, and phenomena related to tourism management. | ✔ | |||||
| 2 | The general structure of the tourism sector, it's functioning, and its importance in the development of the country. | ✔ | |||||
| 3 | To have information about the tourist values in the world and in Turkey and to evaluate these values in terms of tourism supply and demand. | ✔ | |||||
| 4 | Knows and applies management theories and practices that can effectively manage tourism businesses (hotel enterprises, travel enterprises, food, and beverage enterprises, etc.). | ✔ | |||||
| 11 | With his theoretical and practical experience in his field; has the ability to access information, analyze, synthesize and interpret, and produce solutions to problems. | ✔ | |||||
| 12 | Uses information and communication technologies, software, tools and equipment related to the field and maintains them when necessary. | ✔ | |||||
| 14 | Continuing personal and professional development with the awareness of lifelong learning; works as a team and independently by taking responsibility. | ✔ | |||||
| 16 | One of the United Nations Sustainable Development Goals (UN SDG) [1) poverty, 2) hunger, 3) healthy and quality life, 4) quality education, 5) gender equality, 6) clean water and sanitation, 7) accessible clean energy, 8) decent work and economic growth, 9) industry, innovation and infrastructure, 10) inequality reduction, 11) sustainable cities and communities, 12) responsible consumption and production, 13) climate action, 14) life in water, 15) life on land, 16) peace, justice and strong institutions, 17) joint effort for ends] has an awareness of at least one. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 2 | 2 | 2 | 2 |
| PY2 | 2 | 2 | 2 | 2 |
| PY3 | 2 | 2 | 2 | 2 |
| PY4 | 4 | 4 | 4 | 4 |
| PY11 | 5 | 5 | 5 | 5 |
| PY12 | 5 | 5 | 5 | 5 |
| PY14 | 5 | 5 | 5 | 5 |
| PY16 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu |
|
|---|---|
| Diğer Kaynaklar |
|
| Bahar Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Doç. Dr. Yıldırım YILDIRIM | Vize | 40.00 | |
| Doç. Dr. Yıldırım YILDIRIM | Final | 60.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 5 | 3 | 15 |
| Research | 5 | 3 | 15 | |
| Other Activities | 5 | 3 | 15 | |
|
Sınavlar |
Midterm | 1 | 3 | 3 |
| Homework | 1 | 5 | 5 | |
| Homework Preparation | 1 | 5 | 5 | |
| Final | 1 | 3 | 3 | |
| Practice | 1 | 3 | 3 | |
| Classroom Activities | 11 | 2 | 22 | |
| Total Workload | 128 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 | ||
