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Course Information
Course Unit Title : MULTIVARIATE STATISTICAL ANALYSIS
Course Unit Code : 02EKO5105
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : 1
Semester : 1.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants : ---
Learning Outcomes of The Course Unit : To learn multivariate statistical analysis methods applications.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Continuous univariate distributions, The Multivariate Normal Distribution, Multivariate Hypothesis Testing, Principal Component Analysis, Factor Analysis, Canonical Correlation Analysis, Discriminant Analysis, Logistic Regression and Cluster Analysis
Languages of Instruction : Turkish
Course Goals : To teach the the subject of Multivariate Statistical Analysis course .
Course Aims : The aim of this course is to introduce its participants to statistical techniques for understanding and testing theories about relationships between individual's characteristics such as income, age, health, social class, ethnicity etc. Emphasising the practicalities of doing multivariate analysis, the course will have a clear focus on the interpretation of multivariate analysis
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Applied Multivariate Statistical Analysis, Richard A. Johnson & Dean W. Wichern, 2002
Additional Resources : An Introduction to Multivariate Statistical Analysis, Anderson, T. W, 2003 Uygulamalı Çok Değişkenli İstatistiksel Analiz, Hüseyin TATLIDİL, 2002 Kalaycı, Ş.(Ed.) (2006). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri. Asil Yayın Dağıtım Ltd.Şti., Ankara.
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
2 10 20  
Presentation :
1 20 20  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 15 15  
Finals :
1 40 40  
Workload Hour (30) :
30  
Total Work Charge / Hour :
179  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
1 20
Homework :
1 30
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Intorduction Matrix Algebra
 
2 Continuous univariate distributions
 
3 The Multivariate Normal Distribution
 
4 Multivariate Hypothesis Testing
 
5 Multivariate Hypothesis Testing
 
6 Principal Component Analysis
 
7 Principal Component Analysis
 
8 Factor Analysis
 
9 Factor Analysis
 
10 Canonical Correlation
 
11 Discriminant Analysis
 
12 Logistic Regression
 
13 Cluster Analysis
 
14 Cluster Analysis