Applied statistics
| Title | Εφαρμοσμένη Στατιστική / Applied statistics |
| Code | 13Υ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Forestry and Natural Environment |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | No |
| Status | Active |
| Course ID | 600019402 |
Programme of Study: PPS Tmīmatos Dasologías kai Fysikoý Perivállontos (2020-sīmera)
Registered students: 128
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Compulsory Courses | Compulsory Course | 1 | 1 | 4 |
| Academic Year | 2020 – 2021 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Weekly Hours | 4 |
| Class ID | 600165835
|
Class Schedule
| Building | Δασολογίας (Φοίνικας) - κτίριο γ |
| Floor | Όροφος 1 |
| Hall | ΑΙΘΟΥΣΑ ΑΣΚΗΣΕΩΝ ΔΑΣΙΚΗΣ ΒΙΟΜΕΤΡΙΑΣ (505) |
| Calendar | Δευτέρα 11:00 έως 12:00 |
| Building | Δασολογίας (Φοίνικας) - κτίριο γ |
| Floor | Όροφος 1 |
| Hall | ΑΙΘΟΥΣΑ ΑΣΚΗΣΕΩΝ ΔΑΣΙΚΗΣ ΒΙΟΜΕΤΡΙΑΣ (505) |
| Calendar | Δευτέρα 12:00 έως 13:00 |
| Building | Δασολογίας (Φοίνικας) - κτίριο γ |
| Floor | Όροφος 1 |
| Hall | ΑΙΘΟΥΣΑ ΑΣΚΗΣΕΩΝ ΔΑΣΙΚΗΣ ΒΙΟΜΕΤΡΙΑΣ (505) |
| Calendar | Δευτέρα 09:00 έως 10:00 |
| Building | Δασολογίας (Φοίνικας) - κτίριο γ |
| Floor | Όροφος 1 |
| Hall | ΑΙΘΟΥΣΑ ΑΣΚΗΣΕΩΝ ΔΑΣΙΚΗΣ ΒΙΟΜΕΤΡΙΑΣ (505) |
| Calendar | Δευτέρα 10:00 έως 11:00 |
| Building | |
| Floor | - |
| Hall | Εξ αποστάσεως (900) |
| Calendar | Δευτέρα 15:00 έως 17:00 |
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600165835
- eLearning: https://elearning.auth.gr/course/view.php?id=14498
Language of Instruction
- Greek (Instruction, Examination)
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
- Work autonomously
- Advance free, creative and causative thinking
Course Content (Syllabus)
METHODS OF STATISTICAL ANALYSIS
DEFINITION OF STATISTICS.
COLLECTION OF STATISTICAL DATA.
MEANS OF COLLECTING STATISTICAL DATA.
PRESENTATION OF STATISTICAL DATA.
PROCESSING OF STATISTICAL DATA.
NUMERICAL DESCRIPTION OF THE PROPERTIES OF THE FREQUENCY DISTRIBUTIONS MEASURES OF SCALE.
NUMERICAL DESCRIPTION OF FREQUENCY DISTRIBUTIONS BY FREQUENCIES MEASURES OF DISPERSION.
NUMERICAL DESCRIPTION OF THE FREQUENCY DISTRIBUTIONS BY FREQUENCY MEASURES OF FORM.
POSSIBILITY ELEMENTS.
DISTINGUISHED RANDOM VARIABLES.
BINOMIAL DISTRIBUTION.
POISSON DISTRIBUTION.
NORMAL DISTRIBUTION.
PRODUCTS THEORETICAL DISTRIBUTIONS.
PARAMETER ESTIMATION.
POINT ESTIMATION.
EVALUATION OF SPACE.
THE DISTRIBUTION OF THE POPULATION.
ANALYSIS OF VARIANCE.
REGRESSION.
MULTI-STAGE SAMPLING.
MULTIPHASE SAMPLING.
SAMPLING IN SEQUENTIAL CASES.
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 | 26 | 0.9 | |||
| Laboratory Work | 20 | 0.7 | |||
| Reading Assigment | 71 | 2.4 | |||
| Exams | 3 | 0.1 | |||
| Total | 120 | 4 |
Student Assessment
Description
Theory and laboratory evaluation (in case of remote examination)
Questions through e-learning
Short response time
Specific questions for each examinee.
Theory evaluation (in case of on campus examination)
A final exam (February or September exam)
Theory and laboratory questions with expected answer of small development
Leading grade 5 based on the evaluation of the answers of the theory.
https://elearning.auth.gr/course/view.php?id=10988
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
28-06-2021
