GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

MULTIVARIATE STATISTICS/4800101

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Understands and applies canonic correlation analysis.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Fundemental concepts of multivariate statistics
2. Week	Assumptions of multivariate statistics
3. Week	Data cleaning methods
4. Week	Introduction to Matrix
5. Week	Introduction to structural equation models
6. Week	Path Analysis
7. Week	Path Analysis
8. Week	Midterm
9. Week	Confirmatory Factor Analysis
10. Week	Exploratory Factor Analysis
11. Week	Principal Component Analysis
12. Week	Logistic Regression
13. Week	Discriminant Analysis
14. Week	MANOVA
15. Week	MANCOVA
16. Week	Canonical Correlation

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	30
Assignment	1	10
Application	0	0
Projects	0	0
Practice	0	0
Quiz	0	0

Percent of In-term Studies		40
Percentage of Final Exam to Total Score		60

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours			0
Reading Tasks	14	4	56
Searching in Internet and Library			0
Material Design and Implementation	14	4	56
Report Preparing			0
Preparing a Presentation			0
Presentation	1	4	4
Midterm Exam and Preperation for Midterm Exam	1	15	15
Final Exam and Preperation for Final Exam	1	15	15
Other (should be emphasized)			0
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
Course Credit (ECTS):			8

-- COURSE'S CONTRIBUTION TO PROGRAM

-- NAME OF LECTURER(S)

(Associate Prof. Dr. Hakan Yavuz Atar)

-- WEB SITE(S) OF LECTURER(S)

(http://websitem.gazi.edu.tr/site/hakanatar)

-- EMAIL(S) OF LECTURER(S)

(hakanatar@gazi.edu.tr)

Gazi University