GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DATA ANALYSIS/5521303
Course Title: STATISTICAL DATA ANALYSIS
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learning Packet Program Menus.
Preparation of Data File for the Analysis.
Comment Summary Statistics.
Discovery of the Data Structure.
Creating and Testing Hypotheses.
Contingency Tables and Tests of Independence.
Correlation and Modeling.
One Way Analysis of Variance.
Reliability Analysis of the Surveys.
Variable Size Reduction and Clustering.

 -- MODE OF DELIVERY
  The Mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  (With computerized statistical software), Data Entry, and File Operations.
2. Week  Creating Tables and Charts.
3. Week  Descriptive Statistics.
4. Week  Hypothesis Testing.
5. Week  Cross Tables and Correlation Coefficients.
6. Week  Survey Editing and Multiple Answer Analysis.
7. Week  Analysis of Variance and Multiple Comparisons.
8. Week  Midterm.
9. Week  Correlation Analysis and Curve Fitting.
10. Week  Regression Analysis 1.
11. Week  Regression Analysis 2.
12. Week  Reliability Analysis
13. Week  Factor Analysis.
14. Week  Goodness of Fit And Tests Based on Equality of Variances.
15. Week  Non-parametric Tests and Some Special Topics.
16. Week  Final Exam.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
10
3
30
 Searching in Internet and Library
12
3
36
 Material Design and Implementation
8
3
24
 Report Preparing
8
3
24
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
4
4
16
 Final Exam and Preperation for Final Exam
4
4
16
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X
 -- NAME OF LECTURER(S)
   (Prof. İhsan ALP)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/site/ihsanalp)
 -- EMAIL(S) OF LECTURER(S)
   (ihsanalp@gazi.edu.tr)