GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DATA ANALYSIS IN COMPUTER/4980102
Course Title: STATISTICAL DATA ANALYSIS IN COMPUTER
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
At the end of this course with education and teaching activities, every student can; 1. Explain research problem
2. Explain research method
3. Decide on data collect,on tool for the research
4. Define validity and reliability
5. Do spss data input
6. Analyze spss data
7. Do comment on tables according to spss data
8. Report scientific research as a whole

 -- MODE OF DELIVERY
  face to face
 --WEEKLY SCHEDULE
1. Week  Scientific research and defining problem
2. Week  Scientific research methods
3. Week  Validity and reability
4. Week  SPSS database designing and control
5. Week  SPSS factor analyze
6. Week  SPSS_corelation tests
7. Week  SPSS: t-tests
8. Week  SPSS: repeated measures test
9. Week  SPSS: variance analyze
10. Week  SPSS: non-parametric test (Mann –Whitney U test, Ki kare, Kruskall Wallis H test. vs)
11. Week  SPSS: non-parametric test (Mann –Whitney U test, Ki kare, Kruskall Wallis H test. vs)
12. Week  SPSS: regration analyze
13. Week  SPSS: applicaitons
14. Week  SPSS: applicaitons
15. Week  Preparing research report
16. Week  Research report and general assessment
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
0
0
 Assignment
1
10
 Application
7
40
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- 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
4
6
24
 Searching in Internet and Library
7
6
42
 Material Design and Implementation
0
0
0
 Report Preparing
9
6
54
 Preparing a Presentation
3
3
9
 Presentation
2
3
6
 Midterm Exam and Preperation for Midterm Exam
0
0
0
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 Course Credit (ECTS): 
7.5
 -- 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
15X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Halük ÜNSAL)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/unsalh )
 -- EMAIL(S) OF LECTURER(S)
   (unsalh@gazi.edu.tr )