ISB313 Sampling and Questionnaire Design

6 ECTS - 4-0 Duration (T+A)- 5. Semester- 4 National Credit

Information

Code ISB313
Name Sampling and Questionnaire Design
Term 2022-2023 Academic Year
Semester 5. Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL
Course Instructor Prof. Dr. GÜZİN YÜKSEL (A Group) (Ins. in Charge)


Course Goal / Objective

This course aims at providing students with both theoretical and practical bases of using sampling methods and survey design.

Course Content

Basic terms in sampling, simple random sampling, stratified random sampling, Proportionate , Optimum and Neyman sampling methods, survey design.

Course Precondition

None

Resources

Özer Serper ve ark., 2013, Örnekleme, Ezgi Kitabevi Yayınları

Notes

Course Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Has knowledge of and uses the basic concepts of sampling.
LO02 Has knowledge of sampling methods.
LO03 Uses knowledge on solving the application problem.
LO04 Applies Simple Random Sampling.
LO05 Makes Stratified Random Sampling.
LO06 Makes simple researches using survey techniques.
LO07 Knows the basics of editing the survey.
LO08 Comprehend the basic principles of random sampling.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 3
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 5
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer systems and softwares
PLO07 Bilgi - Kuramsal, Olgusal Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
PLO08 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods
PLO09 Bilgi - Kuramsal, Olgusal Make statistical inference(estimation, hypothesis tests etc.) 3
PLO10 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques 4
PLO11 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programme
PLO12 Bilgi - Kuramsal, Olgusal Construct a model and analyze it by using statistical packages
PLO13 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods 4
PLO14 Beceriler - Bilişsel, Uygulamalı Be aware of the interaction between the disciplines related to statistics 5
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 3
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
PLO18 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Basic terms and definations Reading source books Öğretim Yöntemleri:
Soru-Cevap, Beyin Fırtınası
2 Introduction to simple random sampling Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 Application of simple random sampling to population mean Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Application of simple random sampling to population ratio Reading source books-Application Öğretim Yöntemleri:
Problem Çözme, Bireysel Çalışma
5 Introduction to strafied sampling Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Application of strafied sampling to population mean Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
7 Application of strafied sampling to population ratio Reading source books-Application Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Mid-Term Exam Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Introduction to stage sampling Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
10 One stage sampling Reading source books Öğretim Yöntemleri:
Bireysel Çalışma
11 Application of one stage sampling to population mean and ratio Reading source books Öğretim Yöntemleri:
Anlatım, Problem Çözme
12 Survey methods, advantages and disadvantages Reading source books-Application Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Surveys in different areas and presentations of student projects Reading source books Öğretim Yöntemleri:
Proje Temelli Öğrenme
14 The main steps of the survey and presentations of student projects Reading source books-Application Öğretim Yöntemleri:
Proje Temelli Öğrenme
15 Computer coding of the survey results and presentations of student projects Reading source books Öğretim Yöntemleri:
Deney / Laboratuvar
16 Term Exams Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review the topics discussed in the lecture notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 152
Total Workload / 25 (h) 6,08
ECTS 6 ECTS

Update Time: 18.11.2022 09:24