Sampling

 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: 110
OrientationAttendance TypeSemesterYearECTS
CoreElective CoursesSpring-5

 Academic Year 2017 – 2018 Class Period Spring Instructors from Other Categories Vasileios Karagiannis 39hrs Weekly Hours 3 Class ID 600099248
Course Type 2016-2020
• Scientific Area
• Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
• Face to face
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Simple knowledge of basic concepts of Statistics (Mean, Spread, Standard Deviation, Coefficient of Variation).
Learning Outcomes
!) 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) 4) Manage irresolute voters
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
• 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.
Educational Material Types
• Notes
• Book
Course Organization