| Teaching Staff
|
Dr. Öğr. Üyesi Leyla GÖDEKMERDAN ÖNDER |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
There is no pre-requisite |
| Recommended Optional Programme Component |
|
| Course Objectives |
Aims to teach basic statistical methods their application in real projects.
|
| Course Content |
The scope of this course includes basic statistical konwledge, hypothesis testing, and parametric/non-parametric tests.
|
| Learning Outcomes (LO) |
The students who attended the course and were successful at the end of semester will acquire the followings;
1- will be able to have basic statistical knowledge,
2- will be able to make an estimation by using statistical methods
3- will be able to test hypotheses and conduct researches. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Basic statistics information
|
| 2. Week |
Mass sample relationship |
| 3. Week |
Estimation about the average of single mass |
| 4. Week |
Estimation about the rate of single mass
|
| 5. Week |
Hypothesis testing about the single mass average |
| 6. Week |
Hypothesis testing about the single mass rate |
| 7. Week |
Estimation and hypothesis testing about the single mass scedasticity |
| 8. Week |
Estimation and hypothesis testing about mean two mass difference |
| 9. Week |
Estimation and hypothesis testing about two mass rate difference |
| 10. Week |
Estimation of single explanatory variable regression parameter |
| 11. Week |
Estimation of single explanatory variable correlation parameter |
| 12. Week |
Nonparametric tests |
| 13. Week |
Discussing the former topics |
| 14. Week |
Discussing the former topics
|
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Uygulamalı istatistik - Prof. Dr. Özkan Ünver, Prof. Dr. Hamza Gamgam. Seçkin Yayınları
İstatistiki Yöntemler - Prof. Dr. Zeki Avralıoğlu |
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | LO1 | 5 | 5 | 5 | 5 | | | | 4 | | | 5 | | 5 | LO2 | | | | 5 | | | | 4 | | | 5 | | 5 | LO3 | 5 | | | 5 | | | | 4 | | | 5 | | 5 |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |