Forest Biometry I

Course Information
TitleΔΑΣΙΚΗ ΒΙΟΜΕΤΡΙΑ Ι / Forest Biometry I
Code025Υ
FacultyAgriculture, Forestry and Natural Environment
SchoolForestry and Natural Environment
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CommonNo
StatusActive
Course ID420000034

Programme of Study: UPS School of Forestry and Natural Environment (2009-today)

Registered students: 346
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course325

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
600125917
Type of the Course
  • Background
Course Category
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
Required Courses
  • 001Υ Mathematics
Learning Outcomes
After successfully completing the course, students will be able: to design a simple statistical survey, describe a set of data, conclude for the population by random samples and estimate simple statistical models.
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
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Methods of forest statistical analysis, sampling, and forest research planning.
Keywords
Research design, Statistical data description, Statistical conclusion, Model estimation, Sampling
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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Laboratory Work260.9
Reading Assigment240.8
Written assigments581.9
Exams30.1
Total1505
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Formative)
  • Written Exam with Problem Solving (Summative)
  • Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
ΜΑΤΗΣ Κ. ΔΑΣΙΚΗ ΒΙΟΜΕΤΡΙΑ Ι ΣΤΑΤΙΣΤΙΚΗ
Additional bibliography for study
Κολυβά-Μαχαίρα Φ. και Μπόρα-Σέντα Ε., 2013. Στατιστική: Θεωρία-Εφαρμογές. Ζήτη. Θεσσαλονίκη.
Last Update
24-09-2018