GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS I/İST- 103
Course Title: STATISTICS I
Credits 3 ECTS 7
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- NAME OF LECTURER(S)
  Assoc. Prof. Dr. Yaprak Arzu ÖZDEMİR, Assoc. Prof. Meral EBEGİL, Assoc. Prof. Meltem EKİZ, Assist. Prof. Dr. Esen GÜRBÜZSEL
 -- WEB SITE(S) OF LECTURER(S)
   http://websitem.gazi.edu.tr/site/yaprak, http://www.websitem.gazi.edu.tr/site/mdemirel, http://www.websitem.gazi.edu.tr/site/ozmeltem http://websitem.gazi.edu.tr/site/mekiz http://websitem.gazi.edu.tr/site/esen
 -- EMAIL(S) OF LECTURER(S)
   yaprak@gazi.edu.tr, mdemirel@gazi.edu.tr, ozmeltem@gazi.edu.tr mekiz@gazi.edu.tr esen@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
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 is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  Basic statistical concepts
2. Week  Data collection tools
3. Week  Data arrangement
4. Week  Frequency distributions and tables, computer applications
5. Week  Graphs, computer applications
6. Week  Measures of central tendency, computer applications.
7. Week  Midterm examination
8. Week  Measures of central tendency, computer applications
9. Week  Measures of dispersion, computer applications
10. Week  Measures of dispersion, computer applications
11. Week  Kurtosis and skewness coefficents, computer applications
12. Week  Box plot, computer applications
13. Week  Correlation coefficents, computer applications
14. Week  Correlation coefficents, computer applications
15. Week  General computer applications
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  SİN, A., EKNİ, M., GAMGAM H., 2006, İstatistik, Gazi Kitabevi. Ünver,Ö, Gamgam,H. ve Altunkaynak, B. Temel İstatistik Yöntemler, Seçkin yayınevi, 2011.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Expression, answer-questions, presentation
 -- WORK PLACEMENT(S)
  Not applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
5
5
25
 Searching in Internet and Library
5
5
25
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
6
7
42
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
20
20
 Other
0
 TOTAL WORKLOAD: 
164
 TOTAL WORKLOAD / 25: 
6.56
 ECTS: 
7
 -- 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