Rapor Tarihi: 13.04.2026 03:15
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Probability And Biostatistics | BMM221 | Turkish | Compulsory | 3. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face-to-Face Education |
| Course Coordinator | Doç. Dr. Emine GÜVEN |
| Instructor(s) | Doç. Dr. Emine GÜVEN (Güz) |
| Goals | To provide an understanding of randomness, to give some concepts of probability theory and to create a probability language for introduction to statistical theory. |
| Course Content | Some tools for modeling problems involving randomness and discrete probability distributions and their applications. |
| # | Öğrenme Kazanımı |
| 1 | It explains fundamental statistical and probability concepts used in health and life sciences. |
| 2 | It distinguishes between types of biomedical data and selects appropriate statistical methods. |
| 3 | It applies probability rules, conditional probability, and probability distributions to health data. |
| 4 | It analyzes and interprets descriptive and inferential statistics. |
| 5 | Explains probability distributions and their properties using computer simulations. |
| 6 | It applies parametric and non-parametric tests when appropriate. |
| 7 | Statistical results in biomedical and medical reports. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Olasılığa Giriş ve Temel Kavramlar | Preparation, After Class Study, Practice, Presentation (Preparation), Problem Solving |
| 2. Week | Probability Distributions | Preparation, After Class Study, Practice, Presentation (Preparation), Problem Solving |
| 3. Week | Descriptive Statistics | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 4. Week | Inferential Statistics | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 5. Week | Sampling and Confidence Intervals | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 6. Week | Introduction to Hypothesis Testing | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 7. Week | Parametric Tests | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 8. Week | Non-parametric Tests | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 9. Week | Midterm exam | |
| 10. Week | Correlation and Regression | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 11. Week | Binomial Distrubution | |
| 12. Week | Poisson Distribution | |
| 13. Week | Clinical and Biomedical Applications with R | Preparation, After Class Study, Research, Practice, Presentation (Preparation), Problem Solving |
| 14. Week | Clinical and Biomedical Applications with R |
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 |
|---|
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Doç. Dr. Emine GÜVEN | Ödev | 20.00 | |
| Doç. Dr. Emine GÜVEN | Vize | 30.00 | |
| Doç. Dr. Emine GÜVEN | Final | 50.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Sınavlar |
Midterm | 1 | 1 | 1 |
| Practice End-Of-Term | 1 | 1 | 1 | |
| Total Workload | 44 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
