GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MULTIVARIATE STATISTICAL ANALYSIS/8700004
Course Title: MULTIVARIATE STATISTICAL ANALYSIS
Credits 3 ECTS 7.5
Semester 2 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
 -- RECOMMENDED OR REQUIRED READING
   Applied Multivariate Statistical Analysis, Richard A. Johnson & Dean W. Wichern, 2002 2. An Introduction to Multivariate Statistical Analysis
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  no
 -- 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
1Having the professional expertise and skills on theoretical and practical aspect of econometrics.X
2Having appropriate behavior of econometricsin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
3Having skills about selecting, using and evaluating of appropriate econometrics and statistical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
4Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
5Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
6Using some of the advanced level econometrics and statistical software programs.X
7Having skills about information system related to the fields in working life.
8Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
9Having skills to comprehension, application and evaluation about terms and basic theory of operational research.X
10Having the professional expertise and skills on theoretical and practical aspects of operational research.X