Rapor Tarihi: 12.04.2026 10:08
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics | MUH1522 | Turkish | Compulsory | 2. Semester | 1 + 1 | 2.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Associate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. Fisun KAŞKIR KESİN |
| Instructor(s) | Öğr. Gör. Fisun KAŞKIR KESİN (Bahar) |
| Goals | Both in business, as well as various organizations in decision-making for the best employees need data that has been collected can be, with the ability to gain the storing and processing. |
| Course Content | Definition of Statistics, basic concepts used, data types and methods of collecting, organizing data, measures of central tendency, dispersion, estimation theory, correlation analysis, it is aimed to teach the regression analysis and indexes |
| # | Öğrenme Kazanımı |
| 1 | The student collects data to be used in the decision-making process, organizes the collected data to present it to relevant parties, and displays this data in various graphical formats. |
| 2 | Using measures of central tendency and dispersion, the student can make relevant determinations about around which values the data group is concentrated and what distribution characteristics it exhibits. |
| 3 | The student distinguishes between basic sampling methods (simple random, systematic, stratified, and cluster sampling) and selects and applies the appropriate sampling method according to different research problems. |
| 4 | The student explains the fundamental concepts of statistical hypothesis testing and estimation theory; selects appropriate methods to perform hypothesis tests, calculates confidence intervals, and interprets the results. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | The definition of statistics, basic concepts in statistics | Preparation, After Class Study, Research |
| 2. Week | Basic concepts in statistics | Preparation, After Class Study, Research |
| 3. Week | Series in statistics; time, place and distribution series, accumulated series, composite series | Preparation, After Class Study, Research, Practice |
| 4. Week | Series in statistics; time, place and distribution series, accumulated series, composite series | Preparation, After Class Study, Research, Practice |
| 5. Week | Graphical representation of series | Preparation, After Class Study, Research, Practice |
| 6. Week | Measures of central tendency | Preparation, After Class Study, Practice, Lecture |
| 7. Week | Measures of central tendency | Preparation, After Class Study, Practice, Lecture |
| 8. Week | Measures of variability | Preparation, After Class Study, Practice, Lecture |
| 9. Week | Measures of variability | Preparation, After Class Study, Practice, Lecture |
| 10. Week | Sampling | Preparation, After Class Study, Research, Other Activities, Presentation (Preparation) |
| 11. Week | Sampling methods | Preparation, After Class Study, Research, Other Activities, Presentation (Preparation), Practice |
| 12. Week | Sampling methods | Preparation, After Class Study, Research, Other Activities, Presentation (Preparation), Practice |
| 13. Week | Statistical estimation | Preparation, After Class Study, Research, Practice |
| 14. Week | Hypothesis tests | Preparation, After Class Study, Research, Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Having knowledge and skills in a field based on the qualifications gained in general or vocational secondary education and supported by courses on secondary education level and application tools and equipment, and to show that students understand the basic concepts in the accounting profession. | ✔ | |||||
| 2 | The definition of accounting in businesses is well done, to be able to define, collect and record the data required for the solution of accounting problems effectively; Demonstrate the skill of preparing financial and legal reports by using theoretical knowledge, hand or intellectual skills required in practical applications. | ✔ | |||||
| 3 | To be open to communication with friends, superiors and the people and groups that they serve in practical works related to accounting and to be able to work in a team. | ||||||
| 4 | To perform learning independently in accounting related fields and to demonstrate that you can apply what you have learned | ||||||
| 5 | Demonstrate the ability to identify problems related to unforeseen situations in accounting and to seek solutions | ✔ | |||||
| 6 | To evaluate and audit the performances of the employees under their responsibility in the accounting environment objectively | ✔ | |||||
| 7 | To have sufficient foreign language knowledge in the field of accounting | ||||||
| 8 | To be able to use internet technologies, office, computerized accounting software together with the knowledge of computer usage in the accounting environment and to improve itself continuously. | ||||||
| 9 | To have knowledge and awareness of social responsibility, ethical values and social security rights in matters related to the field of accounting | ||||||
| 10 | To have occupational safety, worker health knowledge and consciousness in matters related to accounting. | ||||||
| 11 | To have conscious and informed about Atatürk Principles Revolution History | ||||||
| 12 | To be able to open and operate a business on its own behalf, to evaluate and control the performance of employees, to have knowledge and skills in entrepreneurship | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 3 | 3 | 3 | 3 |
| PY2 | 3 | 3 | 3 | 3 |
| PY3 | 0 | 0 | 0 | 0 |
| PY4 | 0 | 0 | 0 | 0 |
| PY5 | 1 | 1 | 1 | 1 |
| PY6 | 1 | 1 | 1 | 1 |
| PY7 | 0 | 0 | 0 | 0 |
| PY8 | 0 | 0 | 0 | 0 |
| PY9 | 0 | 0 | 0 | 0 |
| PY10 | 0 | 0 | 0 | 0 |
| PY11 | 0 | 0 | 0 | 0 |
| PY12 | 4 | 4 | 4 | 4 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Bahar Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Öğr. Gör. Fisun KAŞKIR KESİN | Vize | 40.00 | |
| Öğr. Gör. Fisun KAŞKIR KESİN | Final | 60.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 2 | 28 |
|
Ders Dışı |
Preparation, After Class Study | 10 | 4 | 40 |
|
Sınavlar |
Midterm | 1 | 14 | 14 |
| Final | 1 | 20 | 20 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
