METHODS OF GEOGRAPHIC ANALYSIS
| Title | ΓΕΩΓΡΑΦΙΚΕΣ ΜΕΘΟΔΟΙ ΑΝΑΛΥΣΗΣ / METHODS OF GEOGRAPHIC ANALYSIS |
| Code | Β35 |
| Faculty | Engineering |
| School | Rural and Surveying Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Maria Papadopoulou |
| Common | No |
| Status | Inactive |
| Course ID | 20000928 |
Programme of Study: UPS of School of Rural and Surveing Engineering
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Geodesy and Surveying | Elective Courses | 7 | 4 | 5 |
| Cadastre, Photogrammetry and Cartography | Compulsory Courses | 7 | 4 | 5 |
| Transportation and Hydraulic Engineering | Elective Courses | 7 | 4 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Weekly Hours | 6 |
| Class ID | 600128750
|
Class Schedule
| Building | Πολυτεχνείο - πτέρυγα Γ (ΤΗΜΜΥ & Τοπογράφων Μηχ.) |
| Floor | Όροφος 2 |
| Hall | 307 (13) |
| Calendar | Πέμπτη 15:00 έως 18:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- Α06 STATISTICS AND DATA ANALYSIS
- Β08 GEOGRAPHY AND SPATIAL ANALYSIS
- Β12 THEMATIC CARTOGRAPHY
- Β28 INTRODUCTORY CARTOGRAPHY
Learning Outcomes
The student is introduced to the basic themes of the science of Statistics and its applications to the Analysis of Space.
Use of PC, basic statements of statistical treatments, use of Internet.
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
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
Basic statistical methods of geographic space. Relationships of geographic data. Bivariate and multivariate analyses (Relation, Regression, Analysis of Variation). Analysis of geographic space. Principal components analysis and Factor analysis. Classification of geographic data. Cluster analysis. Discriminant analysis.
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
Description
Use of PC, use of software for statistical treatments, use of Internet.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Tutorial | 39 | ||||
| Total | 78 |
Student Assessment
Description
Written exams
Submission of project or a number of exercises.
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Τσάντας Ν. κ.ά.., 1999, Ανάλυση δεδομένων με τη βοήθεια στατιστικών πακέτων, εκδόσεις Ζήτη, Θεσσαλονίκη (Κωδικός Εύδοξος:10959)
Additional bibliography for study
Λαφαζάνη Π., 2004, Γεωγραφικές Μέθοδοι Ανάλυσης, Πανεπιστημιακές Παραδόσεις, ΤΑΤΜ, ΑΠΘ.
Last Update
24-09-2013
