ISB313 Sampling and Questionnaire Design

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

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB313
Name Sampling and Questionnaire Design
Term 2018-2019 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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜZİN YÜKSEL
Course Instructor Prof. Dr. GÜZİN YÜKSEL (Güz) (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

Yok

Resources

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 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 2
PLO02 - Emphasize the importance of Statistics in life 3
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 1
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 4
PLO06 - Utilize computer systems and softwares 2
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 2
PLO08 - Apply the statistical analyze methods 4
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 4
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 4
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 2
PLO13 - Distinguish the difference between the statistical methods 5
PLO14 - Be aware of the interaction between the disciplines related to statistics 4
PLO15 - Make oral and visual presentation for the results of statistical methods 1
PLO16 - Have capability on effective and productive work in a group and individually 2
PLO17 - 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 2
PLO18 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 3


Week Plan

Week Topic Preparation Methods
1 Basic terms and definations Reading source books
2 Introduction to simple random sampling Reading source books
3 Application of simple random sampling to population mean Reading source books
4 Application of simple random sampling to population ratio Reading source books-Application
5 Introduction to strafied sampling Reading source books
6 Application of strafied sampling to population mean Reading source books
7 Application of strafied sampling to population ratio Reading source books-Application
8 Mid-Term Exam Review the topics discussed in the lecture notes
9 Introduction to stage sampling Reading source books
10 One stage sampling Reading source books
11 Application of one stage sampling to population mean and ratio Reading source books
12 Survey methods, advantages and disadvantages Reading source books-Application
13 Surveys in different areas and presentations of student projects Reading source books
14 The main steps of the survey and presentations of student projects Reading source books-Application
15 Computer coding of the survey results and presentations of student projects Reading source books
16 Term Exams Review the topics discussed in the lecture notes
17 Term Exams Review the topics discussed in the lecture notes


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 29.04.2025 02:18