GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SAMPLING METHODS II/İST3026
Course Title: SAMPLING METHODS II
Credits 3 ECTS 4
Course Semester 6 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
Ability to acquire the basic properties of systematic sampling
Ability to acquire basic properties of simple cluster sampling
Ability to obtain the basic properties of ratio estimation

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Simple cluster sampling
2. Week  Estimation of population total, variance and variance estimator
3. Week  Calculating the variance estimation for the population total
4. Week  Calculations of variance estimation for the population total when set sizes and sub-sample sizes are equal
5. Week  Comparison of simple random sampling and cluster sampling
6. Week  Intra-cluster correlation coefficient
7. Week  Sample Allocation
8. Week  Estimation methods for stratified cluster sampling, Midterm
9. Week  Sample size proportional probabilistic sampling method and related estimation methods
10. Week  Proportional estimation
11. Week  Ratio estimation in simple random sampling
12. Week  Ratio Estimation of Population mean
13. Week  Ratio Estimation of Population Total
14. Week  Ratio estimation in stratified sampling
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
14
2
28
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
12
12
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
97
 TOTAL WORKLOAD / 25: 
3.88
 Course Credit (ECTS): 
4
 -- 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. Yaprak ÖZDEMİR , Asist. Prof Esen GÜRBÜZSEL)
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/yaprak , https://abs.gazi.edu.tr/esen)
 -- EMAIL(S) OF LECTURER(S)
   (yaprak@gazi.edu.tr , esen@gazi.edu.tr)