GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SAMPLING TECHNIQUES I/İST-301
Course Title: SAMPLING TECHNIQUES I
Credits 4 ECTS 7
Semester 5 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Yaprak Arzu ÖZDEMİR, Assist. Prof. Dr. Esen GÜRBÜZSEL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/yaprak, http://websitem.gazi.edu.tr/site/esen
 -- EMAIL(S) OF LECTURER(S)
  yaprak@gazi.edu.tr, esen@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Ability to learn the basic definition and use of sampling in the fields.
Ability to obtain the basic concepts of sampling.
Ability to obtain the basic concepts of simple random sampling.
Ability to obtain the basic concepts of stratified random sampling.
 -- 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   Introduction
2. Week  Expected value
3. Week  Variance (coefficient of variation)
4. Week   Expectation, unbiasedness and consistent of estimators
5. Week  Sampling error, reliability, precision
6. Week  Sample size
7. Week  Simple random sampling
8. Week  Variance estimator for mean, confidence interval
9. Week  Midterm exam
10. Week  Estimation of population ratio, sample size and precision of p
11. Week  Stratified random sampling
12. Week  Variance for sample mean in stratified random sampling
13. Week  Allocation of sample
14. Week  Stratified random sampling for ratios
15. Week  Stratified random sampling for ratios
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Yamane T., 2001, Elementary Sampling Theory. Thompson S., 1992, Sampling.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
   Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 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
4
56
 Practising Hours of Course Per Week
0
 Reading
5
5
25
 Searching in Internet and Library
7
5
35
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
5
5
25
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
14
14
 Final and Studying for Final
1
14
14
 Other
0
 TOTAL WORKLOAD: 
169
 TOTAL WORKLOAD / 25: 
6.76
 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