>
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

Name of Lecturer(s)

Prof. Dr. Selçuk KOÇ
Associate Prof. Dr. Ejder AYÇİN
Associate Prof. Dr. Didem RODOPLU ŞAHİN

Learning Outcomes of the Course Unit

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-Learning Outcomes Relation

  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

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Introduction to multivariate statistical analysis, Multivariate analysis of variance(MANOVA), Principal Component analysis,Factor analysis, Cluster analysis, Discriminant analysis, Multidimensional Scaling Techniques.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required