ΟΔΗΓΟΣ ΕΙΣΑΚΤΕΩΝ ΠΡΩΤΟΕΤΩΝ 2025

COURSE OUTLINE



(1) General

School:Social Sciences
Academic Unit:Geography
Level of studies:Undergraduate
Course Code:GEO 344Semester:F
Course Title:Special Topics in Geographic Analysis
Independent Teaching ActivitiesWeekly Teaching HoursCredits
Lecture2
Laboratory practice2
Course total5
Course Type:Required Elective
Prerequisite Courses:None
Language of Instruction and ExaminationsGreek
Is the course offered to Erasmus students:No
Course Website (Url):https://geography.aegean.gr/pps/index_en.php?content=0&lesson=344


(2) Learning Outcomes

Learning Outcomes

  • Ability to comprehend basic principles and methods of location analysis as they are specifically applied to the analysis of geographical data
  • Ability to select appropriate methods of analysis for the examination of geographical variables
  • Ability to interpret the results of location analysis
  • Ability to use specialized spatial analysis software and programming language

General Competences

  1. Search for, analysis and synthesis of data and information, with the use of the necessary technology

  2. Adapting to new situations

  3. Decision-making

  4. Working independently

  5. Production of new research ideas

  6. Respect for difference and multiculturalism

  7. Respect for the natural environment

  8. Showing social, professional and ethical responsibility and sensitivity to gender issues

  9. Criticism and self-criticism

  10. Production of free, creative and inductive thinking


(3) Syllabus

Introduction to the basic principles oflocation analysis (both euclidian and network space).

Emphasis is given to the analysis of location value and location problems, the analysis of measurementsor relative distance and cost functions. Use of specialized software for understanding basic methods of location analysis  and their practical application for the analysis of spatial data from physical and human geography.


(4) Teaching and Learning Methods - Evaluation

Delivery:
Physical presense
Use of Information and Communication Technology:
Use of R statistical Language along with the use of QGIS software
Teaching Methods:
ActivitySemester workload
Lecture26
Laboratory practice26
Fieldwork3
Project42
Non-supervised study26
Performance evaluation/Exams6
Course total129
Student Performance Evaluation
Writen exams  along with the 2 assignments.


(5) Attached Bibliography

  1. Κουτσόπουλος, Κ. (2009): Πραγματεία Ανάλυσης Χώρου: Θεωρία και Τεχνικές, Τόμος Α, Εκδόσεις Παπασωτηρίου, Αθήνα
  2. Φώτης, Κ. (2009): Ποσοτική Χωρική Ανάλυση, Εκδόσεις Γκοβόστης, Αθήνα
  4. O'Sullivan D. and Unwin, D.J. (2003): Geographic Information Analysis, John Wiley & Sons, New York
  6. Ηaining, R. (2003): Spatial Data Analysis: Theory and Practice, Cambridge University Press, Cambridge, UK
  8. Bailey, T.C. and Gatrell, A.C. (1995): Interactive Spatial Data Analysis, Prentice Hall, Upper Saddle River, New Jersey