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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Statistics and Multivariate Data Analysis | HYD608 | Elective | Doctorate degree | 1 | Spring | 7 |
Prof. Dr. Selçuk KOÇ
Associate Prof. Dr. Ejder AYÇİN
Associate Prof. Dr. Didem RODOPLU ŞAHİN
1) Course outcome is to use the statistical techniques which is often used in business life
2) Interprate results provided from this process.
3) To enhance quantitative abilities.
4) To learn the fundamental concepts of multivariate statistics
Program Competencies | ||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
Learning Outcomes | ||||||||||||
1 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
2 | No relation | No relation | Middle | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
3 | No relation | No relation | No relation | No relation | High | High | No relation | No relation | No relation | No relation | No relation | |
4 | No relation | No relation | No relation | No relation | No relation | Low | Middle | Middle | No relation | No relation | No relation |
Face to Face
None
Not Required
Introduction to multivariate statistical analysis, Multivariate analysis of variance(MANOVA), Principal Component analysis,Factor analysis, Cluster analysis, Discriminant analysis, Multidimensional Scaling Techniques.
Contribution of Midterm Examination to Course Grade |
40% |
---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Turkish
Not Required