GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA ANALYSIS/EKON308
Course Title: DATA ANALYSIS
Credits 3 ECTS 7
Semester 6 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. Murat ATAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/atan
 -- EMAIL(S) OF LECTURER(S)
  atan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Be able to design and apply survey base study.
Be able to apply theorical statistical analysis that are learnt before.
Improve Computer using skills.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face and using a computer labrotuary.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Statistical Analysis I and II, Econometrics I and II, Operational Reseach I and II
 --COURSE CONTENT
1. Week  Basic definitions and concepts about data analysis
2. Week  Introduction to SPSS Program
3. Week  Cross-Section Data Analysis
4. Week  Confidence Analysis in Evaluation of Survey Questions
5. Week  Chi-Square Relationship Analysis
6. Week  Determination of Hypothesis Test
7. Week  Parametric Hypothesis Tests
8. Week  Midterm
9. Week  Non-Parametric Hypothesis Tests
10. Week  Scatter Plot and Correlation Analysis
11. Week  Regression Analysis
12. Week  Multivariate Linear Regression
13. Week  Binary Logistic Regression Analysis
14. Week  Multivariate Logistic Regression Analysis
15. Week  Mistakes that occur in Using Likert Scale in Survey Base Studies
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Analiz Teknikleri – SPSS’te İşletme Yönetimi Uygulamaları”, Emek Ofset Ltd.Şti
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture,Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- 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
14
2
28
 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: 
166
 TOTAL WORKLOAD / 25: 
6.64
 ECTS: 
7
 -- 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