Title ΔΕΙΓΜΑΤΟΛΗΨΙΑ / Sampling Code 0566 Faculty Sciences School Mathematics Cycle / Level 1st / Undergraduate Teaching Period Spring Common Yes Status Active Course ID 40000532

### Programme of Study: UPS of School of Mathematics (2014-today)

Registered students: 224
OrientationAttendance TypeSemesterYearECTS
CoreElective CoursesSpring-5

 Academic Year 2019 – 2020 Class Period Spring Instructors from Other Categories Vasileios Karagiannis 39hrs Weekly Hours 3 Class ID 600147725
Type of the Course
• Scientific Area
• Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
• Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
Required Courses
• 0502 Probability Theory I
• 0503 Statistics
• 0505 Probability Theory II
General Prerequisites
Knowledge of basic concepts of Statistics and how to compute them (Mean, Spread, Standard Deviation, Coefficient of Variation). Knowledge of basic concepts of Probability Theory on random variables and vectors of random variables
Learning Outcomes
1) They can manipulate theoretical concepts of estimators and sampling designs 1) They can design and participate in conducting sampling. 2) They may budget the size and structure of the sample. 3) Ηandle Tables of Random Numbers (TRN)
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Work in teams
• Work in an international context
• Work in an interdisciplinary team
• Respect natural environment
• Demonstrate social, professional and ethical commitment and sensitivity to gender issues
Course Content (Syllabus)
Population and Sample. Definition of Sampling and usefulness of Probability Sampling. Eστιματορσ: Basic Properties and τειρ role in the Planning of sampling. Main types of Sampling techniques: A) Simple Random Sampling (SRS), B) Stratified Sampling (StS) (various versions of), C) Systematic Sampling (SyS) (Introductory, Cyclic Law, SyS in 2-dimensional populations, Best Selection of samples) D) Cluster Sampling (CluS) (equal size clusters and introduction to techniques with non equal size). Comparison of sampling methods. Applications of Sampling in Economy, Ecology and Politics. Indicators, Indices. Classic application examples from the literature and daily practice. Management of Irresolute voters electronic or not.
Keywords
Sampling.
Educational Material Types
• Notes
• Slide presentations
• Multimedia
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Communication with Students
Course Organization
Lectures391.3