COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 308SAMPLING3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach sampling and its methods
Course Content Basic Definitions, Definitions of Sampling Methods, Simple Random Sampling, Estimation of Sample Size, Strafied Sampling, Proportion and Linear Regression Estimation, Systematic Sampling, Cluster Sampling, Sampling in two steps.
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1ÖK 1: To be able to use sampling and its methods.
2ÖK 2: To be able to think analytically

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01555555555555
LO 02555555555555
Sub Total101010101010101010101010
Contribution555555555555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2015-2016 Spring1ANDIM OBEN BALCE

Course Details
Course Code:  EKNM 308 Course Title:  SAMPLING
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2015-2016 Spring
Course Coordinator :  ASSISTANT PROFESSOR ANDIM OBEN BALCE E-Mail:  abalce@pau.edu.tr, Phone Number :  296 2677,
Course Location İİBF C0013,
Goals : To teach sampling and its methods
Content : Basic Definitions, Definitions of Sampling Methods, Simple Random Sampling, Estimation of Sample Size, Strafied Sampling, Proportion and Linear Regression Estimation, Systematic Sampling, Cluster Sampling, Sampling in two steps.
Attendance : %70
Topics
WeeksTopics
1 +INTRODUCTION TO SAMPLING
2 +BASIC DEFINITIONS
3 +BASIC DEFINITIONS
4 +SIMPLE RANDOM and SYSTEMATIC SAMPLING
5 +SIMPLE RANDOM and SYSTEMATIC SAMPLING
6 + SAMPLE SIZE adn POWER ESTIMATION
7 +Midterm Exam
8 +STRATIFIED SAMPLING
9 +STRATIFIED SAMPLING
10 +CLUSTER SAMPLING
11 +CLUSTER SAMPLING
12 +WEIGHTING
13 +SURVEY ERRORS
14 +SEMESTER PROJECTS
Materials
Materials are not specified.
Resources
ResourcesResources Language
Örnekleme, Prof. Dr. Hülya Çıngı, Hacettepe Üniversitesi Fen Fakültesi Matbaası, AnkaraTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes