Course Information
TitleΓΕΩΓΡΑΦΙΚΕΣ ΜΕΘΟΔΟΙ ΑΝΑΛΥΣΗΣ / METHODS OF GEOGRAPHIC ANALYSIS
CodeΒ35
FacultyEngineering
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorMaria Papadopoulou
CommonNo
StatusActive
Course ID20000928

Programme of Study: UPS of School of Rural and Surveing Engineering

Registered students: 4
OrientationAttendance TypeSemesterYearECTS
Geodesy and SurveyingElective Courses745
Cadastre, Photogrammetry and CartographyCompulsory Courses745
Transportation and Hydraulic EngineeringElective Courses745

Class Information
Academic Year2015 – 2016
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours6
Class ID
600010636
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Tutorial39
Total78
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