GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

SEMINAR/5080058

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

Establishes Economics Model
Estimates parameters
Tests statistical significance of parameters
Makes Economics inference

-- 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	The Multivariate Normal Distribution, Multivariate Hypothesis Testing and application
2. Week	Principal Component Analysis, Factor, Discrimant Analysis and Application
3. Week	Cluster and Logistic Regression and Application
4. Week	Unit Root and Cointegration Analysis and Application
5. Week	Vector Autoregressif Model and Causality Analysis and Application
6. Week	Experimental Demonstrative and Application
7. Week	Multivariate Analysis of Variance and Applicaiton
8. Week	Midterm
9. Week	Data Envelopment Analysis (DEA) and Application
10. Week	Malqusite Index and Application
11. Week	Applications Dynamic Econometrics Models
12. Week	Simultaneous Equations Systems
13. Week	Identification Problem
14. Week	Presentation and Evaluation
15. Week	Presentation and Evaluation
16. Week	final

-- RECOMMENDED OR REQUIRED READING

1. Green W. (2003), Econometric Analysis, Prentice Hall pub. 2. Applied Multivariate Statistical Analysis, Richard A. Johnson & Dean W. Wichern

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	0	0
Assignment	0	0
Exercises	0	0
Projects	1	100
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		100
Contribution of Final Examination to Overall Grade		0

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	16	2	32
Practising Hours of Course Per Week	0	0	0
Reading	14	3	42
Searching in Internet and Library	14	3	42
Designing and Applying Materials	0	0	0
Preparing Reports	14	3	42
Preparing Presentation	14	2	28
Presentation	1	2	2
Mid-Term and Studying for Mid-Term	0	0	0
Final and Studying for Final	0	0	0
Other	0	0	0
TOTAL WORKLOAD:			188
TOTAL WORKLOAD / 25:			7.52
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

Gazi University