GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MULTIVARIATE STATISTICAL ANALYSIS/5080004
Course Title: MULTIVARIATE STATISTICAL ANALYSIS
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Aydin UNSAL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/aunsal
 -- EMAIL(S) OF LECTURER(S)
  aunsal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learns Theory of Multivariate Statistical Methods.
Learns Application of Multivariate Statistical Methods.
Makes Statistical İnference






 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Intorduction Matrix Algebra
2. Week  Continuous univariate distributions
3. Week  The Multivariate Normal Distribution
4. Week  Multivariate Hypothesis Testing
5. Week  Multivariate Hypothesis Testing
6. Week  Principal Component Analysis
7. Week  Principal Component Analysis
8. Week  Midterm
9. Week  Factor Analysis
10. Week  Factor Analysis
11. Week  Canonical Correlation
12. Week  Discriminant Analysis
13. Week  Logistic Regression
14. Week  Cluster Analysis
15. Week  Cluster Analysis
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  1. Applied Multivariate Statistical Analysis, Richard A. Johnson & Dean W. Wichern, 2002 2. An Introduction to Multivariate Statistical Analysis, An
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
0
0
 Exercises
0
0
 Projects
1
40
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
0
0
 Reading
14
2
28
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
0
0
0
 Preparing Reports
14
2
28
 Preparing Presentation
14
2
28
 Presentation
1
2
2
 Mid-Term and Studying for Mid-Term
0
0
0
 Final and Studying for Final
14
2
28
 Other
0
 TOTAL WORKLOAD: 
198
 TOTAL WORKLOAD / 25: 
7.92
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X