PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISY 609	MULTIVARIATE ANALYSIS	3 + 0	3rd Semester	10

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Elective
Course Objective	Çok değişkenli analize giriş,tanımlayıcı istatistik,parametrik hipotezler,parametrik olmayan hipotezler,korelayon,varyans,kovaryansve regresyon analizleri,faktör analizi,discrımant analizi,kümeleme analizi
Course Content	Multivariate normal distribution. The average estimate of vector and matrix covariance. Example of usage and distribution of the correlation coefficient. General test of the linear hypothesis. Variance test. Variance analysis. Independence tests of variable clusters. Basic components. Canonical correlation and canonical variables. Distribution of characteristics root. Wishard matrix. Factor analysis. Time series analysis. Stochastic equations. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	learns the concept of multi-variable quality
2	Understands the operation of multi-variable methods
3	solves problems in multivariate statistical techniques and interpretations
4	recognize the concepts of competitive tool for businesses
5	Does the organization of statistical data on

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07
LO 001	4	4	2	5			4
LO 002	4	4	2	5			4
LO 003	4	4	2	5			4
LO 004	4	4	2	5			4
LO 005	4	4	2	5			2
Sub Total	20	20	10	25			18
Contribution	4	4	2	5	0	0	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Assignments	8	8	64
Mid-terms	1	20	20
Final examination	1	24	24
Presentation / Seminar Preparation	5	8	40
Total Work Load ECTS Credit of the Course			260 10

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	SERKAN DOLMA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISY 609	MULTIVARIATE ANALYSIS	3 + 0	1	Turkish	2020-2021 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. SERKAN DOLMA	dolma@pau.edu.tr		İİBF B0219	%

Goals		Çok değişkenli analize giriş,tanımlayıcı istatistik,parametrik hipotezler,parametrik olmayan hipotezler,korelayon,varyans,kovaryansve regresyon analizleri,faktör analizi,discrımant analizi,kümeleme analizi
Content		Multivariate normal distribution. The average estimate of vector and matrix covariance. Example of usage and distribution of the correlation coefficient. General test of the linear hypothesis. Variance test. Variance analysis. Independence tests of variable clusters. Basic components. Canonical correlation and canonical variables. Distribution of characteristics root. Wishard matrix. Factor analysis. Time series analysis. Stochastic equations. .

Topics

Weeks	Topics
1	Scientific Research and Statistics
2	Correlation and Regression
3	Multiple Regression
4	Assumptions of Regression Analysis
5	ANOVA, ANCOVA and MANOVA
6	Path Analysis
7	Exploratory Factor Analysis
8	Confirmatory Factor Analysis
9	Structural Equation Modeling: Basics
10	Structural Equation Modeling: Multiple-Group
11	Multidimensional Scaling
12	Discriminant Analysis
13	Cluster Analysis
14	Overview

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student