Course Information
SchoolSchool of Spatial Planning and Development
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
Course ID20002279

Programme of Study: PPS Tmīmatos Mīchanikṓn CΗōrotaxías kai Anáptyxīs (2020-sīmera)

Registered students: 14
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses745

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours4
Class ID
Course Type 2016-2020
  • Background
  • General Knowledge
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Consolidate theoretical and practical knowledge of the sciences of Geoinformatics for the creation, management, storage and use of information in order to spatial analysis and planning. Familiarity with bibliographic research, literature and foreign language terminology. Acquiring practical knowledge using software Geoinformatics. Capacity practical application of the acquired theoretical knowledge. Capacity building collaborative study - research and presentation of research results. Capacity Technical Writing.
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 in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Combined use of geoinformatics for the creation, management, storage and use of information to the spatial analysis and planning. Maps of different projection systems, diachronic aerial photographs and satellite images, measurements with GPS, digital transformations and corrections, geo-referenced data EGSA '87, spectral remote sensing data processing, descriptive data collection, geographic databases creation and maintenance, distributed GIS, entropy, Principal Components, imaging themes 2D and 2.5D in urban planning, land management and environmental studies.
Educational Material Types
  • Notes
  • 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
The teaching of the theory is carried out in the halls of the Department, utilizing electronic teaching / presentation. The laboratory exercises conducted in the laboratories of the Department, utilizing both GIS, Remote Sensing and Photogrammetry softwares, and electronic teaching / presentation. Detailed information and data provided in the course elerning. It is also a communication tool with students (announcements, etc.).
Course Organization
Laboratory Work20
Reading Assigment55
Student Assessment
The working groups select and prepare during the entire semester a study of their choice (in Spatial Planning, Development and / or Environmental nature). The teams work with the teacher, and correct stages of their study during the entire semester. At the end of the semester, completing the 13 weekly lessons, and during the examinations, the teams deliver electronic files of their study (including the technical report and the electronic presentation) and interviewed on general topics Geoinformatics and related topics to their study, an open audience.
Student Assessment methods
  • Oral Exams (Summative)
  • Performance / Staging (Summative)
Course Bibliography (Eudoxus)
-Τηλεπισκόπηση - Θεωρητική προσέγγιση και εργαστηριακές ασκήσεις. ISBN: 978-960-9717-08-3, Συγγραφέας: Δημήτριος Ε. Καϊμάρης, Εκδόσεις: Α.Π.Θ. -Αρχές Τοπογραφίας και Γεωπληροφορικής. ISBN: 978-960-6674-62-4. Συγγραφέας: Γραικούσης Γ., Λαγός Αιμ. Εκδόσεις: Σύγχρονη εκδοτική ΕΠΕ
Additional bibliography for study
Θέματα μελέτης και ηλεκτρονικά αρχεία δεδομένων στο elerning.
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