| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Statistics | MAE305 | Turkish | Compulsory | 5. Semester | 2 + 0 | 2.0 | 2.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Distance Education |
| Course Coordinator | Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ |
| Instructor(s) | Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ (Güz) |
| Goals | The main aim of the course is to enable students to learn and interpret descriptive statistics, frequency distributions and graphs, central tendency measures, variability measures, probability, probability distributions, z-score, confidence intervals and hypothesis tests, which are the basic topics in statistics. |
| Course Content | Sample, organization and analysis of data; sampling distribution and estimation; confidence interval concept; interval estimation for difference of two population means, interval estimation for ratio of two population variances, interval estimation for binomial parameter p; hypothesis testing, correlation and regression. |
| # | Öğrenme Kazanımı |
| 1 | Distinguish between descriptive and inferential statistics. |
| 2 | Define basic statistical concepts (data, variable, sample, etc.) |
| 3 | Distinguish various variables (continuous, discrete, etc.) from each other, |
| 4 | Expressing frequency distributions and graphics in various ways |
| 5 | Ability to calculate central trend measures |
| 6 | Understand the normal distribution and z-score relationship |
| 7 | Ability to calculate probability using basic probability rules |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to Statistics and Basic Statistical Concepts | Interview Class Hours |
| 2. Week | Measurement, Scales, Data Sources, Data Collection Techniques, Data Organization | Interview Class Hours |
| 3. Week | Frequency (Frequency) Distributions and Graphical Representations (qualitative, quantitative frequency distributions and graphical representation) | Interview Class Hours |
| 4. Week | Central Tendency Measures | Class Hours Interview |
| 5. Week | Measures of Variability | Interview Class Hours |
| 6. Week | Inclination and Curvature Measures | Class Hours Interview |
| 7. Week | Possibility | Class Hours Interview |
| 8. Week | Midterm | |
| 9. Week | Probability Distributions | Interview Class Hours |
| 10. Week | z-Score, Confidence Intervals I z-Score, Confidence Intervals II | Interview Class Hours |
| 11. Week | z-Score, Confidence Intervals II | Interview Class Hours |
| 12. Week | Decision Theory and Hypothesis I (Significance Level and Type I, II. Errors) | Interview Class Hours |
| 13. Week | Decision Theory and Hypothesis II (Significance Level and Type I, II. Errors) | Interview Class Hours |
| 14. Week | Decision Theory and Hypothesis II (Significance Level and Type I, II. Errors) | Class Hours Interview |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | They know and apply contemporary teaching methods and techniques, assessment and evaluation methods. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 |
|---|---|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 2 | 28 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 1 | 14 |
|
Sınavlar |
Midterm 1 | 1 | 2 | 2 |
| Homework 1 | 1 | 5 | 5 | |
| Final | 1 | 2 | 2 | |
| Total Workload | 51 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 2.0 | ||
