GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS I/İST1003
Course Title: STATISTICS I
Credits 3 ECTS 8
Course Semester 1 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
Ability to learn the basic definition and use of statistics in the fields
Ability to obtain the basic concepts of statistics
Collecting, displaying and interpreting of data
Ability to summarizing the data with frequency distributions and graphs
Calculate and interpret measures of central tendency
Calculate and interpret the measures of dispersion
Ability to comment on the distribution of the data
Ability to calculate and interpret the correlation coefficients
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Basic concepts
2. Week  Data collection purposes
3. Week  Arrangement of data.
4. Week  Frequency distributions and tables, computer application
5. Week  Graphics, computer application
6. Week  Central tendency measurements, computer application
7. Week  Central tendency measurements, computer application, Midterm Exam
8. Week  Dispersion measures, computer application
9. Week  Dispersion measures, computer application.
10. Week  Skewness and skewness coefficients, computer application
11. Week  Box chart, Computer application
12. Week  Relationship coefficients, Computer application
13. Week  Relationship coefficients, Computer application
14. Week  General Computer Applications
15. Week  Final Exam
16. Week  ------------------------------------------------------------------
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 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
13
4
52
 Searching in Internet and Library
12
2
24
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
7
4
28
 Final Exam and Preperation for Final Exam
10
5
50
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
196
 TOTAL WORKLOAD / 25: 
7.84
 Course Credit (ECTS): 
8
 -- 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.Dr.Yaprak ÖZDEMİR , Assoc. Prof. Dr. Meral EBEGİL , Assoc. Prof. Dr. Meltem EKİZ , Lecturer Esen GÜRBÜZSEL )
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/yaprak , http://www.websitem.gazi.edu.tr/site/mdemirel , http://www.websitem.gazi.edu.tr/site/ozmeltem , http://www.websitem.gazi.edu.tr/site/esen)
 -- EMAIL(S) OF LECTURER(S)
   (yaprak@gazi.edu.tr , mdemirel@gazi.edu.tr , ozmeltem@gazi.edu.tr , esen@gazi.edu.tr)