Rapor Tarihi: 13.04.2026 06:03
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Teaching Probability and Statistics | MAE304 | Turkish | Compulsory | 6. Semester | 2 + 0 | 2.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ |
| Instructor(s) | Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ (Bahar) |
| Goals | The aim of this course is to support students’ development of fundamental statistical and probabilistic concepts and ideas and establish meaningful relationships among these concepts and ideas develop their statistical thinking and reasoning skills. |
| Course Content | Fundamental concepts, frequency distributions, histogram and frequency polygon, graphical representation of classified data and its application. Parametric and nonparametric central tendency measurements. Skewness and kurtosis. Fundamental concepts of probability theory. Rules of sum and product. Bayes theorem. Table of probability distribution. Expected value and applications. Fundamental concepts in piecewise probability distribution. Binomial, Poisson and Hypergeometric distributions. |
| # | Öğrenme Kazanımı |
| 1 | Students will be able to prepare activities for effective learning by taking into account the basis of concepts related to probability and statistics and the learning theories. |
| 2 | Students will be able to analyze students’ probabilistic and statistical thinking. |
| 3 | Students will be able to acknowledge the importance of tools, materials, and technology used in teaching of probability and statistics. |
| 4 | Students will be able to design and implement a lesson plan on topics in the middle school mathematics curriculum. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | The Nature of Statistics | Other Activities, Interview |
| 2. Week | Statistical Literacy & GAISE | Research, Other Activities, Interview, Presentation (Preparation) |
| 3. Week | Statistical Research Process | Other Activities, Interview, Presentation (Preparation) |
| 4. Week | Central Tendency | Research, Other Activities, Interview, Presentation (Preparation) |
| 5. Week | Distribution Measures | Other Activities, Interview, Presentation (Preparation) |
| 6. Week | Tables and Graphs | Preparation, After Class Study, Research, Other Activities, Interview, Presentation (Preparation) |
| 7. Week | Measurement in Statistics | Preparation, After Class Study, Research, Other Activities, Interview, Presentation (Preparation) |
| 8. Week | Technology in Statistics | Presentation (Preparation), Question and Answer, Discussion |
| 9. Week | The Nature of Probability | Research, Other Activities, Interview, Presentation (Preparation) |
| 10. Week | Combinatorial Thinking | Research, Other Activities, Interview |
| 11. Week | Conditional Probability | Other Activities, Interview |
| 12. Week | Technology in Probability | Research, Other Activities, Interview, Presentation (Preparation) |
| 13. Week | Game-Based Learning | Other Activities, Interview |
| 14. Week | Microteaching, Video Analysis & Reflection | Research, Other Activities, Interview, Presentation (Preparation), Micro Teaching, Role Playing |
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 0 | 4 | 5 | 0 |
| PY2 | 5 | 0 | 4 | 0 |
| PY18 | 5 | 0 | 3 | 5 |
| PY19 | 0 | 0 | 4 | 0 |
| 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 | 13 | 3 | 39 |
|
Ders Dışı |
Preparation, After Class Study | 6 | 3 | 18 |
| Interview | 1 | 3 | 3 | |
| Presentation (Preparation) | 1 | 2 | 2 | |
| Other Activities | 2 | 5 | 10 | |
|
Sınavlar |
Midterm | 1 | 10 | 10 |
| Homework | 1 | 10 | 10 | |
| Final | 1 | 10 | 10 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
