| 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 | Interview Other Activities Class Hours |
| 2. Week | 98 / 5000 Çeviri sonuçları Organizing course content on topics and using appropriate teaching materials and strategies | Research Other Activities Presentation (Preparation) Interview Class Hours |
| 3. Week | Probability simulations and probability distributions and their teaching, daily life relationship | Other Activities Presentation (Preparation) Interview Class Hours |
| 4. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Research Presentation (Preparation) Class Hours Other Activities Interview |
| 5. Week | Data collection, data organization and teaching, daily life relationship | Other Activities Class Hours Interview Presentation (Preparation) |
| 6. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Class Hours Research Other Activities Interview Preparation, After Class Study Presentation (Preparation) |
| 7. Week | Display and analysis of data and teaching, daily life relationship | Presentation (Preparation) Interview Class Hours Other Activities Preparation, After Class Study Research |
| 8. Week | MIDTERM | |
| 9. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Class Hours Presentation (Preparation) Interview Other Activities Research |
| 10. Week | The concept of distribution and frequency distributions and teaching, daily life relationship | Research Interview Other Activities Class Hours |
| 11. Week | Skewness and kurtosis and its teaching, daily life relationship | Interview Class Hours Other Activities |
| 12. Week | Organizing course content on topics and using appropriate teaching materials and strategies | Other Activities Presentation (Preparation) Interview Research Class Hours |
| 13. Week | Analysis of activities for Statistics and Probability learning areas | Interview Other Activities Class Hours |
| 14. Week | Analysis of activities for Statistics and Probability learning areas | Presentation (Preparation) Class Hours Interview Other Activities 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 | ||
