Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	İST335 - Sampling
Course Type	Required Courses
Language of Instruction	Türkçe
Laboratory + Practice	4+0
ECTS	6.0
Course Instructor(s)	DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery	The mode of delivery of this course is Face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources	* Çıngı, H. (1994) Örnekleme Kuramı. Ankara:H.Ü. Fen Fakültesi Basımevi.* Cochran, W.G. (1977) Sampling Techniques.* Ağaoğlu, E. (1998) Uygulamalı Örnekleme. Anadolu Üniversitesi Yayınları No: 10-14.* Yamane, T. (2001) Temel Örnekleme Yöntemleri. Literatür Yayınları:53. (Çeviri)* Özmen, A. (2000) Uygulamalı Araştırmalarda Örnekleme Yöntemleri. Eskişehir: Anadolu Üniversitesi Fen Fakültesi Yayınları, No.17.
Recommended Reading List	* Çıngı, H. (1994) Örnekleme Kuramı. Ankara:H.Ü. Fen Fakültesi Basımevi.* Cochran, W.G. (1977) Sampling Techniques.* Ağaoğlu, E. (1998) Uygulamalı Örnekleme. Anadolu Üniversitesi Yayınları No: 10-14.* Yamane, T. (2001) Temel Örnekleme Yöntemleri. Literatür Yayınları:53. (Çeviri)* Özmen, A. (2000) Uygulamalı Araştırmalarda Örnekleme Yöntemleri. Eskişehir: Anadolu Üniversitesi Fen Fakültesi Yayınları, No.17.
Assessment methods and criteria	2 Mid-term and 1 Final Exams. Exams will be applied by classical method.
Work Placement	Not available.
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure , Partnerships for Purposes

Content

Weeks	Topics
Week - 1	Basic concepts and definitions about sampling
Week - 2	Sampling methods
Week - 3	The sample selection process in simple random sampling
Week - 4	Simple estimation in simple random sampling
Week - 5	Estimation of the sample size
Week - 6	Estimation of the sample size
Week - 7	Simple estimation in stratified sampling
Week - 8	Stratified random sampling
Week - 9	Stratified random sampling
Week - 10	Ratio estimations in simple random sampling
Week - 11	Ratio estimations in stratified random sampling
Week - 12	Ratio estimations in stratified random sampling
Week - 13	Systematic sampling
Week - 14	Cluster sampling

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Discussion
Question & Answer
Demonstration
Drill - Practise
Case Study
Problem Solving
Brain Storming
Competences
Rational
Follow ethical and moral rules
Use time effectively
Abstract analysis and synthesis
Problem solving
Applying theoretical knowledge into practice
Information Management
Organization and planning
Elementary computing skills
Decision making
To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0