Rapor Tarihi: 11.04.2026 19:17
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics | ISL1522 | Turkish | Compulsory | 2. Semester | 2 + 0 | 2.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Associate |
| Mode of delivery | Face to face |
| Course Coordinator | Öğr. Gör. Özge AKŞEHİRLİ |
| Instructor(s) | Öğr. Gör. Özge AKŞEHİRLİ (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 |
| 11. Week | Sampling methods | Preparation, After Class Study, Research, Other Activities, Practice |
| 12. Week | Sampling methods | Preparation, After Class Study, Research, Other Activities, 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 | |||
| 2 | To be able to interpret and evaluate data, to identify and analyze data using basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions. | ✔ | |||||
| 4 | Having the ability to conduct feasibility study and realization of project related to the field | ✔ | |||||
| 5 | Having the ability to conduct feasibility study and realization of project related to the field | ✔ | |||||
| 12 | To be able to open and operate a workplace on its own behalf, to evaluate and supervise the performances of the employees, and to have knowledge and skills in entrepreneurship. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY2 | 4 | 4 | 4 | 4 |
| PY4 | 4 | 4 | 4 | 4 |
| PY12 | 2 | 2 | 2 | 2 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Bahar Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Öğr. Gör. Özge AKŞEHİRLİ | Vize | 40.00 | |
| Öğr. Gör. Özge AKŞEHİRLİ | 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 | ||
