GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL SOFTWARES I/İST1006
Course Title: STATISTICAL SOFTWARES I
Credits 3 ECTS 5
Course Semester 2 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
General information of statistical packages
Creating data file information
Frequency tables, calculation of central tendency measurements
Ability to discover data structure
Graphics drawing / editing skills
Learning of auxiliary modules
Crossing and interpretation structures
To learn data processing in packages
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Overview of statistical programs
2. Week  Creating data file information
3. Week  Data entry and data manipulation
4. Week  Variable Definitions
5. Week  Labeling, weighting and file splitting
6. Week  Observation selection 15.
7. Week  Re-coding
8. Week  Creating a table, MIDTERM
9. Week  Measures of central tendency and distribution
10. Week  Hypothesis Testing
11. Week  Graphic drawing editing
12. Week  Contingency Tables
13. Week  Simple regression analysis and correlation analysis
14. Week  Data processing with commands in packages
15. Week  FINAL EXAM
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
2
10
 Application
0
0
 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
10
4
40
 Searching in Internet and Library
6
2
12
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
5
2
10
 Final Exam and Preperation for Final Exam
5
3
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
119
 TOTAL WORKLOAD / 25: 
4.76
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Prof. İhsan ALP , Assoc.Prof. Meral EBEGİL , Assoc.Prof. Meltem EKİZ , Assoc.Prof. Filiz KARDİYEN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/ihsanalp , https://websitem.gazi.edu.tr/site/mdemirel , https://websitem.gazi.edu.tr/site/ozmeltem , ttps://websitem.gazi.edu.tr/site/fyuva)
 -- EMAIL(S) OF LECTURER(S)
   (ihsanalp@gazi.edu.tr , mdemirel@gazi.edu.tr , ozmeltem@gazi.edu.tr , fyuva@gazi.edu.tr)