Information Package / Course Catalogue
Sample Theory and Applications
Course Code: BİS505
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

To be able to comprehend and apply sampling methods in researches. To be able to determine the appropriate sample size based on sampling methods.

Course Content

Probabilistic and non-probabilistic sampling, simple random, clustered, stratified, sequential, multistage, systematic sampling technique.

Name of Lecturer(s)
Learning Outcomes
1.To be able to comprehend the importance of sampling
2.To be able to understand the concepts of sampling and estimation theory
3.To be able to make calculations related to sampling and estimation theory
4.Knowing the different sampling methods
5.To be able to apply the methods of sampling in health field
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to sampling methods
Week 1 - Practice
Applications with package programs
Week 2 - Theoretical
General definitions of Sampling methods
Week 2 - Practice
Applications with package programs
Week 3 - Theoretical
Sampling distributions and standard error
Week 3 - Practice
Applications with package programs
Week 4 - Theoretical
Estimators and their properties, point and interval estimation
Week 4 - Practice
Applications with package programs
Week 5 - Theoretical
Calculation of sample size for hypothesis testing
Week 5 - Practice
Applications with package programs
Week 6 - Theoretical
Simple random sampling
Week 6 - Practice
Applications with package programs
Week 7 - Theoretical & Practice
Systematic sampling
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Stratified sampling
Week 9 - Practice
Applications with package programs
Week 10 - Theoretical
Sample size estimation at stratified sampling
Week 10 - Practice
Applications with package programs
Week 11 - Theoretical
Cluster sampling
Week 11 - Practice
Applications with package programs
Week 12 - Theoretical
Bootstrap sampling
Week 12 - Practice
Applications with package programs
Week 13 - Theoretical
Other probabilistic sampling methods
Week 13 - Practice
Applications with package programs
Week 14 - Theoretical
Non-probabilistic sampling methods
Week 14 - Practice
Applications with package programs
Week 15 - Theoretical
Literature review and discussion
Week 15 - Practice
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment1505
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)105
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
4
4
4
4
4
4
4
4
4
4
OÇ-2
OÇ-3
OÇ-4
4
4
4
5
3
4
4
4
4
4
OÇ-5
4
4
4
4
4
4
3
4
5
5
Adnan Menderes University - Information Package / Course Catalogue