Forest Biometry I
| Title | ΔΑΣΙΚΗ ΒΙΟΜΕΤΡΙΑ Ι / Forest Biometry I |
| Code | 025Υ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Forestry and Natural Environment |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | No |
| Status | Inactive |
| Course ID | 420000034 |
| Academic Year | 2018 – 2019 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 5 |
| Class ID | 600130608
|
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600130608
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Laboratory Work | 26 | ✓ | |||
| Reading Assigment | 24 | ✓ | |||
| Written assigments | 58 | ✓ | |||
| Exams | 3 | ||||
| Total | 150 |
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
