GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COMPUTER APPLICATIONAL ECONOMETRICS/EKON406
Course Title: COMPUTER APPLICATIONAL ECONOMETRICS
Credits 3 ECTS 6
Semester 8 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof. Murat Atan
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/atan
 -- EMAIL(S) OF LECTURER(S)
  atan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students can analyze econometric data with SPSS and EVIEWS package programs.
They have ideas about the theory and practice of them.
To interpret the results of the econometric analysis of the economic.
 -- MODE OF DELIVERY
  The mode of delivery of this course is computer application
 -- PREREQUISITES AND CO-REQUISITES
  Econometrics and Statistics
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to SPSS and data entry
2. Week  File, Edit, Wiev, Data and Transform menus
3. Week  Descriptive Statistics
4. Week  Confidence interval and hypotesis tests *One Sample t test *independent sample t test *Paried sample t test
5. Week  One and Two Way Anova
6. Week  Chi-Square Independence Test and Correlation Coefficient
7. Week  Multiple Regression Analysis with SPSS
8. Week  Midterm
9. Week  Getting Data into EViews
10. Week  Multiple Regression with Eviews
11. Week  Autocorrelation and heteroscedasticity tests
12. Week  Dummy variable
13. Week  Restricted and unrestricted models estimation
14. Week  Autoregressif model estimation
15. Week  Forecast
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  ATAN, M., ATAN, S., ARSLANTÜRK, Y., “Lisansüstü Araştırmalarda İstatistik Uygulamaları (SPSS Uygulamalı)”, Dama Kitap Yayıncılık Tic. Ltd. Şti., Ankara, Kasım 2012.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture,Demonstration
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 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
1
14
 Practising Hours of Course Per Week
14
2
28
 Reading
8
2
16
 Searching in Internet and Library
8
2
16
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
20
40
 Final and Studying for Final
2
20
40
 Other
0
 TOTAL WORKLOAD: 
154
 TOTAL WORKLOAD / 25: 
6.16
 ECTS: 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.X
4Having appropriate behavior of econometrics in 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
5Having skills about foreign language and information system related to the fields in academic and working life.X
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.X