| 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) | |
| 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 | Basic concepts of probability and probability types and their teaching, daily life relationship | Other Activities, Interview |
| 2. Week | 98 / 5000 Çeviri sonuçları Organizing course content on topics and using appropriate teaching materials and strategies | Research, Other Activities, Interview, Presentation (Preparation) |
| 3. Week | Probability simulations and probability distributions and their teaching, daily life relationship | Other Activities, Interview, Presentation (Preparation) |
| 4. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Research, Other Activities, Interview, Presentation (Preparation) |
| 5. Week | Data collection, data organization and teaching, daily life relationship | Other Activities, Presentation (Preparation), Interview |
| 6. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Preparation, After Class Study, Research, Other Activities, Interview, Presentation (Preparation) |
| 7. Week | Display and analysis of data and teaching, daily life relationship | Interview, Presentation (Preparation), Preparation, After Class Study, Research, Other Activities |
| 8. Week | MIDTERM | |
| 9. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Presentation (Preparation), Research, Other Activities, Interview |
| 10. Week | The concept of distribution and frequency distributions and teaching, daily life relationship | Research, Other Activities, Interview |
| 11. Week | Skewness and kurtosis and its teaching, daily life relationship | Other Activities, Interview |
| 12. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Research, Other Activities, Presentation (Preparation), Interview |
| 13. Week | Analysis of activities for Statistics and Probability learning areas | Other Activities, Interview |
| 14. Week | Analysis of activities for Statistics and Probability learning areas | Other Activities, Presentation (Preparation), Interview, Research |
| 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. | ✔ | |||||
| 2 | Have enough knowledge about the sub fields (Science, Physics etc) | ✔ | |||||
| 18 | utilize the mathematical content knowledge in an effective manner during the learning and teaching process. | ✔ | |||||
| 19 | Relate mathematics to other disciplines. | ✔ | |||||
| 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 | 1 | 10 | 10 |
| Homework 1 | 1 | 10 | 10 | |
| Final | 1 | 10 | 10 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
