GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED STATISTICS APPLICATION ON COMPUTER/4340308
Course Title: ADVANCED STATISTICS APPLICATION ON COMPUTER
Credits 3 ECTS 8
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
Using SPSS to define variables.
Calculate descriptive statistics.
To decide where to use parametric tests.
To calculate the parametric tests.
Where can decide to use non-parametric tests.
To calculate non-parametric tests.
Make the correlation analysis.
Ability analysis of variance.
Regression analysis can do.
Able to analyze the validity and reliability.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Definitions of variables in SPSS program.
2. Week  Calculation of descriptive statistics. Graphics.
3. Week  Parametric Tests.
4. Week  Parametric Tests.
5. Week  Non-Parametric Tests.
6. Week  Non-Parametric Tests.
7. Week  Correlation Analysis.
8. Week  Analysis of Variance.
9. Week  Lecture+Midterm exam
10. Week  Analysis of Covariance.
11. Week  Simple Linear Regression Analysis.
12. Week  Multiple Linear Regression Analysis.
13. Week  Factor Analysis.
14. Week  Validity and Reliability Analysis.
15. Week  Validity and Reliability Analysis.
16. Week  Evaluation.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
2
0
 Projects
0
0
 Practice
2
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
14
1
14
 Searching in Internet and Library
14
5
70
 Material Design and Implementation
0
 Report Preparing
2
6
12
 Preparing a Presentation
2
6
12
 Presentation
2
6
12
 Midterm Exam and Preperation for Midterm Exam
2
7
14
 Final Exam and Preperation for Final Exam
2
14
28
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
204
 TOTAL WORKLOAD / 25: 
8.16
 Course Credit (ECTS): 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
14X
15
16X
17X
18
19X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Mustafa KALE)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/mkale)
 -- EMAIL(S) OF LECTURER(S)
   (mkale@gazi.edu.tr)