Sampling-Design of experiments

Course Information
TitleΔειγματοληψία-Σχεδιασμός Πειραμάτων / Sampling-Design of experiments
Code25Ε
FacultyAgriculture, Forestry and Natural Environment
SchoolForestry and Natural Environment
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CommonNo
StatusActive
Course ID600019419

Programme of Study: PPS Tmīmatos Dasologías kai Fysikoý Perivállontos (2020-sīmera)

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
Compulsory CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212
Elective CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212
Elective CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212
Elective CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212
Elective CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212
Elective CoursesCompulsory Course belonging to the selected specialization (Compulsory Specialization Course)212
Elective CoursesElective Course belonging to the selected specialization (Elective Specialization Course)212

Class Information
Academic Year2023 – 2024
Class PeriodSpring
Faculty Instructors
Weekly Hours2
Class ID
600231800
Course Type 2021
Specialization / Direction
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
  • ONLY IN GREEK
Learning Outcomes
Upon successful completion of the course students will have the following knowledge, abilities or skills:. Knowledge of the main sampling methods in forestry practice. Ability to plan field sampling, if given the necessary data. Ability to estimate parameters depending on the sampling method they choose. Knowledge of the application of basic experimental designs using field data. Use a statistical package to export results. Analysis of results and decision making.
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
  • Generate new research ideas
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Theory, detailed description and applications of the following sampling methods: Simple random sampling. Stratified random sampling. Systematic sampling. Sampling with unequal probabilities. Introductory elements in more complex sample designs. Theory, detailed description and applications of the following experimental designs: Experimental Designs with one factor: Fully Randomized Design. Random Design By Complete Groups. Latin squares. Introduction to factorial designs with two or more factors.
Keywords
Probabilities, Sample, Estimates, Sampling methods
Educational Material Types
  • Notes
  • Slide presentations
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
During the teaching and laboratory training, a slide show with relevant content, photos and anything else that is deemed necessary is used in order for the trainees to have a complete picture of the content of the lectures. There is also training in the use of software (SPSS and EXCEL) in order for students to be able to solve dendrometry problems that are called to learn to solve
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures130.4
Laboratory Work130.4
Reading Assigment190.6
Written assigments70.2
Exams80.3
Total602
Student Assessment
Description
● Performance in exercises ● Written exams ● Individual tasks Theory and laboratory evaluation. Theory assessment: Through written exams with multiple choice questions, short development and solving exercises. Laboratory evaluation: Through the delivery of written work using statistical and computer packages Grading: Laboratory evaluation with excellent performance of 20/100 units. Theory evaluation with excellent performance of 80/100 units. Leading grade 50/100, cumulatively.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Formative, Summative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Ματης Κ.,2004. Δειγματοληψία Φυσικών Πόρων. Πήγασος. Θεσσαλονίκη.
Additional bibliography for study
Hicks, C. 1982. Fundamental Concepts in the Design of Experiments. 3d ed., Saunders College Publishing, USA. Avery, T.E. and Burkhart, H.E. 2001. Forest Measurements. 5th edition: McGraw-Hill Publishing Company Δαμιανού Χ. Χ, 2016. "Μεθοδολογία Δειγματοληψίας τεχνικές και εφαρμογές". Εκδόσεις "σοφία" α.ε. Θεσσαλονίκη. Διαμαντοπούλου Μ.Ι., 1997. Σημειώσεις Βιομετρίας-Βιοστατιστικής. Θεσσαλονίκη. 156 σελ. Διαμαντοπούλου Μ.Ι., 1999. Σημειώσεις εργαστηρίου Σχεδιασμού Πειραμάτων. Επίλυση ασκήσεων του μαθήματος του Σχεδιασμού Πειραμάτων με τη χρήση του στατιστικού πακέτου SPSS. Θεσσαλονίκη, 101 σελ. Lohr L. S., 2010. “Sampling: Design and Analysis”. Brooks/Cole. Cengage Learning. Boston. Μάτης Κ., 2003. Δασική Βιομετρία Ι. Στατιστική, Εκδόσεις Πήγασος, 598 σελ. Μάτης Κ., 2004. Δειγματοληψία Φυσικών Πόρων. Πήγασος. Θεσσαλονίκη. Thompson K. S., 2012. Sampling. John Wiley & Sons. Hoboken, New Jersey. Φαρμάκης Ν., 2016. "Εισαγωγή στη δειγματοληψία". Εκδόσεις Αφοί Κυριακίδη Α.Ε. Θεσσαλονίκη.
Last Update
16-11-2022