GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SAMPLING TECHNIQUES I/İST3001
Course Title: SAMPLING TECHNIQUES I
Credits 4 ECTS 7
Course Semester 5 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
The basic definitions of sampling and the ability to learn the areas used
Ability to learn the basic concepts of sampling
Ability to acquire basic properties of simple random sampling
Ability to acquire the basic properties of stratified random sampling
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Basic concepts
2. Week  Sampling error, sensitivity, reliability
3. Week  Simple random sampling
4. Week  Estimation of population mean and total, determination of the required sample size
5. Week  Coefficient of variation and Proportional Variance
6. Week  Estimation of the population proportion and determining the required sample size
7. Week  Stratified random sampling
8. Week  Estimators and their variances in stratified random sampling, Midterm
9. Week  Sample Allocation (Equal, Proportional)
10. Week  Sample Allocation (Optimum, Neyman)
11. Week  Determination of sample size
12. Week  Estimation of population proportion and determination of required sample size
13. Week  Systematic Sampling
14. Week  Estimators, their variances and population types in systematic Sampling
15. Week  Final Exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
10
 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
4
56
 Weekly Tutorial Hours
0
 Reading Tasks
5
5
25
 Searching in Internet and Library
7
5
35
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
5
5
25
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
14
14
 Final Exam and Preperation for Final Exam
1
14
14
 Other (should be emphasized)
1
2
2
 TOTAL WORKLOAD: 
171
 TOTAL WORKLOAD / 25: 
6.84
 Course Credit (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.
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.Yaprak Arzu ÖZDEMİR , Asst. Prof. Esen GÜRBÜZSEL)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/yaprak , http://www.websitem.gazi.edu.tr/site/esen)
 -- EMAIL(S) OF LECTURER(S)
   (yaprak@gazi.edu.tr , esen@gazi.edu.tr )