National University of Architecture
and Construction of Armenia

University with European Accreditation

National University of Architecture
and Construction of Armenia

University with European Accreditation
Introduction to Geographic Information Systems

The “Introduction to Geographic Information System” short training course has been developed by the faculties of NUACA within the HERITAG Erasmus+ Program of the European Union.

53 total views, no views today

Course description:

Provided by: National University of Architecture and Construction of Armenia (NUACA)

Duration: 18-22 June, 2018

Registration period: 20 May – 15 June, 2018

Workload: 1,5 credits

Language: Armenian

 

Course Developer

The “Introduction to Geographic Information System” short training course has been developed by the faculties of NUACA within the HERITAG Erasmus+ Program of the European Union.

 

Purpose and Objectives

The purpose of this course is to provide trainees with basic GIS concepts such as spatial data sources and structures, projections and coordinate systems, data editing and creation, and geospatial analysis.

The key objectives of the short training course is to provide trainees with:

  • skills needed to develop and execute a project requiring GIS as a management, analytical, and/or visualization tool
  • skills necessary to create GIS data through a variety of methods including those offered by global positioning system (GPS) technologies

54 total views, 1 views today

About the instructor:

Main Topics to be learned

To complete this program, trainees will need to learn the following topics:

  • Lecture 1: Introduction, course overview, what is GIS.
  • Lab 1: ArcGIS basics, loading data, scales, navigation, online help.
  • Lecture 2: Cartographic principles and conventions.
  • Lab 2: Making map.
  • Lecture 3: Spatial data properties and structure.
  • Lab 3: Attribute query, joining and relating, projection.
  • Lecture 4: Spatial data management, geodatabase basics.
  • Lab 4: Create feature classes, vector data editing, geocoding.
  • Lecture 5: Vector based spatial analysis.
  • Lab 5: Location query, overlay and adjacency analyses.
  • Lecture 6: Raster based spatial analysis.
  • Lab 6: Map algebra, surface analysis, raster-vector conversion, geo-referencing.
  • Lecture 7: Spatial statistics and geo-statistics.


Admission is not chargeable