Course Information
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
Course ID40000532

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

Registered students: 216
OrientationAttendance TypeSemesterYearECTS
CoreElective CoursesSpring-5

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Instructors from Other Categories
Weekly Hours3
Class ID
Type of the Course
  • Scientific Area
  • Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Required Courses
  • 0503 Statistics
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.
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
Reading Assigment1083.6
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Course Bibliography (Eudoxus)
1. Φαρμάκης Νίκος. "Εισαγωγή στη δειγματοληψία". Εκδόσεις Αφοί Κυριακίδη Α.Ε. Θεσσαλονίκη, 2016. 2. Δαμιανού Χ. Χαράλαμπος. "Μεθοδολογία Δειγματοληψίας τεχνικές και εφαρμογές". Εκδόσεις "σοφία" α.ε. Θεσσαλονίκη 2016.
Additional bibliography for study
1. Cochran W. “Sampling Techniques”. John Wiley & Sons. USA 1977. 2. Lohr L. Sharon. “Sampling: Design and Analysis”. Brooks/Cole. Cengage Learning. Boston 2010. 3. Thompson K. S. “Sampling”. John Wiley & Sons. Hoboken, New Jersey 2012. 4. Rao S.R.S. Poduri. “Sampling Methodologies with Applications”. Chapman & Hall/CRC. Boca Raton 2000.
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