| Teaching Staff
|
|
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
No pre-requisite |
| Recommended Optional Programme Component |
|
| Course Objectives |
Learning about the methods of dealing with problems with multiple variables, and the use of these methods. |
| Course Content |
Vector space operations, matrix operations, the meaning of the metric and the distribution of quadratic forms, conditional and marginal distributions, Maximum likelihood estimators, likelihood ratio statistic for mean and distribution have extracted, hypothesis testing, principal components analysis, factor analysis concepts. |
| Learning Outcomes (LO) |
Developing skills to solve problems containing more than one variable. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Vector space operations |
| 2. Week |
Matrix operations, eigenvalues, eigenvector decomposition. |
| 3. Week |
The metric meaning of quadratic the forms and the in drawing as ellipse |
| 4. Week |
Marginal Distribution |
| 5. Week |
Conditional Distribution Structure |
| 6. Week |
Distribution of Quadratic Forms |
| 7. Week |
The mean vector and variance-covariance matrix estimators for maximum likelihood |
| 8. Week |
The distribution of sample statistics |
| 9. Week |
Likelihood ratio and finding the statistic for the mean and the distribution of it |
| 10. Week |
Hypothesis tests related to the mean when variance-covariance matrix known |
| 11. Week |
Hypothesis tests related to the mean when variance-covariance matrix unknown |
| 12. Week |
Principal Component Analysis |
| 13. Week |
Factor Analysis |
| 14. Week |
SPSS Applications |
|
| 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 |
1. Johnson R. A. ve Wichern D. W., 1982, Applied Multivariate Stat. Anal., Prentice Hall.
2. Tatlıdil, H. (1996). Uygulamalı Çok Değişkenli İstatistiksel Analiz., Akademi Matbaası, Ankara.
3. Alpar, R. (1997). Uygulamalı Çok Değişkenli İstatistiksel Yöntemlere Giriş I, Bağırhan Yayınevi, Ankara |
| Work Placement(s) |
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| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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