GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED SAMPLING METHODS/6061303
Course Title: ADVANCED SAMPLING METHODS
Credits 3 ECTS 7.5
Course Semester 1 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
Learn the theory of equal probability sampling
Learn the unequal probability sampling
Learn the computation of inclusion probabilities
Learn the calibration using auxiliary information
Learn the ranked set sampling and using this method in the applications
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Equal probability sampling
2. Week  Unequal probability sampling
3. Week  Some unequal probability sampling methods
4. Week  Calculation of inclusion probabilities
5. Week  Estimators and variances in unequal probability sampling
6. Week  Use of auxiliary information
7. Week  Calibration with an auxiliary information
8. Week  Calibration with several auxiliary information, Midterm Exam
9. Week  Ranked Set Sampling
10. Week  Estimation of the population mean in ranked set sampling
11. Week  Some different designs in ranked set sampling
12. Week  Calculation of inclusion probabilities in ranked set sampling
13. Week  Using ranked set sampling in applications
14. Week  Estimation of the population size
15. Week  Final Exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
20
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- 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
11
2
22
 Searching in Internet and Library
14
3
42
 Material Design and Implementation
0
 Report Preparing
10
2
20
 Preparing a Presentation
10
2
20
 Presentation
10
1
10
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X
 -- NAME OF LECTURER(S)
   ( Prof. Dr. Yaprak A. ÖZDEMİR)
 -- WEB SITE(S) OF LECTURER(S)
   (www.gazi.edu.tr/~yaprak)
 -- EMAIL(S) OF LECTURER(S)
   (yaprak@gazi.edu.tr)