1	Course Title:	SAMPLING
2	Course Code:	EKO4206
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. MUSTAFA AYTAÇ
16	Course Lecturers:	Prof. Dr. Nuran BAYRAM Prof. Dr. Erkan IŞIĞIÇOK
17	Contactinformation of the Course Coordinator:	E-mail: aytac1@uludag.edu.tr Telefon: 224 29 41110 Adres: Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi,Ekonometri Bölümü,Görükle,Bursa
18	Website:
19	Objective of the Course:	Completion of professional formation for the students of Department of Econometrics, a research plan on how to gain the knowledge and skills to teach and research conducted to analyze how and in what form.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able learn how to collect data and how preservable errors that may arise in making a survey ; 2 To be able learn taking into account the cost and reliability of the sample volume of research how many data will occur ın one study.; 3 To be able know most of the sampling methods taking into account the relationship between them which one.; 4 To be able learn simple random sampling method to estimate rates of population mean and the population to learn how to use it,; 5 To be able understand stratified sampling method to estimate population mean and population rates, and to learn how they are implemented with simple random sampling to learn the similarities and differences between them.; 6 To be able to understand multi-stage sampling method (sampling, especially clusters, and three-stage sampling two-stage sampling) are applied to process and examples.; 7 To be able learn multiple rate sampling method to compare other sampling methods can be applied ; 8 To be able to use research will be chosen depending on the sampling methods and the population average rate of population estimation and hypothesis testing how to do it.;

22	Course Content:

Week	Theoretical	Practical
1	Data and Data Collection
2	Overview of Methods for Sampling
3	Sampling Method Advantages And Estimation Methods
4	Estimated Population Ratio Method with Random Sampling,
5	Estimated Population Ratio Method with Random Sampling
6	Stratified Sampling and its Applications
7	Stratified Sampling Method Proportional to the average rate in Population Distribution Approach for the Estimation of Population (MİD-TERM EXAM)
8	Optimum Ratio of Population Distribution Stratified Sampling Method Approach for the Estimation of Population with an average,
9	Stratified Sampling Method Estimate with Population Mean and Population’s Ratio Neyman Distribution Approach
10	Multi-stage sampling and its Applications, advantages and disadvantages,
11	Sampling by Sampling by clusters with and Clusters Ratio of Population Mean and Population Forecast
12	Estimates of Two-Step Sampling and Two-Step Sampling Method
13	Estimates of Three-Stage Sampling and three-stage sampling method,
14	Estimates of Storey Sampling and Estimated Population Mean with Storey Sampling

23	Textbooks, References and/or Other Materials:	1.Özer S., Aytaç M., (2000), Örnekleme, 2. baskı, Ezgi kitabevi, Bursa. 2.Yoğurtçuğil K. (1976), Örnekleme, İstanbul Üniv. İktisat Fakültesi. 3.Cochran W.G.,(1963),Sampling Techniques, John Wiley and Sons,Second Edt. NewYork 4. Taro Y., (1967), Elementery Sampling Theory, Prentice Hall, NewJersey
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	1	25	25
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	25	25
Others	1	20	20
Final Exams	1	35	35
Total WorkLoad			147
Total workload/ 30 hr			4,9
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 4 4 2 3 3 3 4 3 4 3 4 3 LO2 3 4 3 4 5 3 4 3 4 4 3 3 LO3 4 3 4 3 5 4 3 4 3 3 4 2 LO4 4 4 3 3 3 4 5 4 4 4 4 3 LO5 4 4 3 4 3 3 5 3 4 4 3 3 LO6 3 4 3 4 4 4 5 5 5 5 3 4 LO7 4 4 4 2 3 4 4 4 5 4 3 3 LO8 2 4 4 2 4 3 4 4 4 4 3 3

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High