Gis Training Course from Esri

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  • Topic: Geographic information system, ESRI, ArcGIS
  • Pages : 3 (703 words )
  • Download(s) : 84
  • Published : April 7, 2013
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GeoData Institute

Introduction to ArcGIS 10
COURSE OUTLINE
This course introduces the underlying principles and methods of Geographical Information Systems (GIS). It examines the processes involved in the capture, storage, manipulation, analysis, presentation and output of digital geographical data in a GIS and provides opportunities for the development of practical skills in processing data using an industry standard GIS software package. The course comprises a series of presentations and computer-based practical sessions using ESRI’s ArcGIS software with example date sets taken from a variety of fields. The three main elements of ArcGIS (ArcMap, ArcCatalog and ArcToolbox/Geoprocessing) are introduced and topics covered include: data management; data visualisation; data quality and analysis; georeferencing; data presentation and reporting. This course is intended for those who have little or no GIS knowledge or who wish to undertake some formalized training in ArcGIS having been largely self-taught in the past.

The course has been awarded 7 points towards the AGI continuing professional development (CPD) scheme. Please also see Course Programme over page.

ANTICIPATED COURSE OUTCOMES / ACHIEVEMENTS Aims and objectives • • • • To provide delegates with an appreciation of the fundamental concepts of GIS including its strengths and limitations. To introduce the core functionality of ESRI’s ArcGIS software package. To teach the fundamental skills needed to obtain, import, manipulate, analyse, interpret, manage and output spatial data in order to investigate topics in the delegate’s area of interest. To demonstrate real-world uses of GIS.

Learning outcomes - by the end of the course, delegates will have a knowledge and understanding of: • • • • • • • • • what a GIS is; what spatial data is; raster and vector data models the core tasks involved in a GIS analysis e.g. data acquisition and input; data storage and management; data manipulation and analysis;...
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