GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SAMPLING/EKON208
Course Title: SAMPLING
Credits 3 ECTS 5
Semester 4 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  ASSOC. PROF. FURKAN EMİRMAHMUTOĞLU
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/furkan
 -- EMAIL(S) OF LECTURER(S)
  furkan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students calculate the sample size pulled from a stack for the reliability of estimation.
Students learn the methods of sampling for field work.
Students learn which methods will be applied in which situations for field work.






 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Statistical Data Collection Methods and Tools
2. Week  Sampling Plan and Sampling
3. Week  sampling partition and reliability of estimation
4. Week  Calculation of sampling diameter and the cost of the research
5. Week  Non-probability sampling methods
6. Week  Probability Sampling Methods and Principles
7. Week  Simple Random Sampling and Application
8. Week  Midterm Exam
9. Week  stratified sampling
10. Week  proportional stratified sampling
11. Week  Stratified Sampling according to the most appropriate method of apportionment
12. Week  Stratified Sampling according to the most economic Sharing Method
13. Week  Cluster sampling
14. Week  Practice
15. Week  Practice
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  -William G. Cochran, Sampling Techniques, 1977 -Bernard Grais, Méthodes Statistiques, 1977 -Alptekin Esin, M. Akif Bakır, Celal Aydın, Esen Gürbüzsel,Temel Örnekleme Yöntemleri, (Çeviri: Taro Yamane), 2001
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  There is no work placements.
 -- 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
2
28
 Practising Hours of Course Per Week
14
1
14
 Reading
15
2
30
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
6
2
12
 Final and Studying for Final
13
1
13
 Other
0
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
5Having skills about foreign language and information system related to the fields in academic and working life.
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
13Using some of the basic econometric and statistical software programs.