ECOLOGICAL ANALYSIS
| Title | ΑΝΑΛΥΣΗ ΟΙΚΟΛΟΓΙΚΩΝ ΣΥΣΤΗΜΑΤΩΝ / ECOLOGICAL ANALYSIS |
| Code | EC.ENG.5.19 |
| Faculty | Sciences |
| School | Biology |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Antonios Mazaris |
| Common | No |
| Status | Active |
| Course ID | 40001672 |
Programme of Study: PPS Tmīma Viologías (2017-sīmera)
Registered students: 8
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Moriakī Viología, Genetikī kai Viotechnología | Elective Courses | 5 | 3 | 6 |
| Perivallontikī Viología | Elective Courses | 5 | 3 | 6 |
| Genikī | Elective Courses | 5 | 3 | 6 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Class ID | 600285980
|
Course Type 2021
Specialization / Direction
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600285980
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
After the implementation of the courses' series, the students will be able to: A) develop protocols and methods for sampling regarding the estimation of parameters in space and time at individual, population, community and ecosystem level, B). develop research methodology and design studies, C) assess data variables, evaluate and analyse them, D) implement basic techniques of multivariate statistics.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in an interdisciplinary team
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Lecturers: Research methodology and experimental designs. Sampling methods. Parameter estimation and data exploration
Laboratory Exercises: Sampling size and sample number estimation. Estimation of polulation size (methods of capture - recapture. Estimation of polulation size (methods of substraction). Εstimation of polulation size (linear sampling, sqaure sampling). Methods of data analysis. Multivariate and exploratory statistics (cluster, MDMS, PCA, Mantel tests, GLMs, regressions)
Educational Material Types
- Slide presentations
- 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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 30 | 1.2 | ✓ | ✓ | |
| Laboratory Work | 21 | 0.8 | ✓ | ✓ | |
| Reading Assigment | 84 | 3.4 | |||
| Written assigments | 12 | 0.5 | |||
| Exams | 3 | 0.1 | |||
| Total | 150 | 6 |
Student Assessment
Description
Oral examination, project
Student Assessment methods
- Written Assignment (Formative, Summative)
- Oral Exams (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1.Στάμου Γ. (2009) ΟΙΚΟΛΟΓΙΑ: ΜΕΘΟΔΟΙ ΑΝΑΛΥΣΗΣ ΚΑΙ ΣΥΝΘΕΣΗΣ ΔΕΔΟΜΕΝΩΝ. ΕΚΔΟΣΕΙΣ ΖΗΤΗ
2.Καρανδεινός Μ.Γ.(2007) ΠΟΣΟΤΙΚΕΣ ΟΙΚΟΛΟΓΙΚΕΣ ΜΕΘΟΔΟΙ. ΑΠΟ ΤΗ ΘΕΩΡΙΑ ΣΤΗΝ ΠΡΑΞΗ. ΠΑΝΕΠΙΣΤΗΜΙΑΚΕΣ ΕΚΔΟΣΕΙΣ ΚΡΗΤΗΣ
Last Update
28-11-2023
