Eligibility:

Students who have completed high-school, Under-graduate students from recognized universities as well as professionals can enroll for this course.

Fees:

₹ 10,000 only.
Course fees include meals at CDSA campus.
Local transportation and food in field is not included.

Students are required to bring their own laptops.


Modules


  1. 1. Basic concepts of geography
  • Elevations and contours 
  • Types of North – True, Grid, Magnetic
  • Landforms – how landforms govern planning 
  • Densities, Distribution, Patterns 
  • Spatial links between the data collected and Geography
  1. 2. A brief history of mapmaking and GIS
  • Origin of map making (Physical Cartography, eg.  John Snow cholera mapping, leading to understanding the importance of data collection) 
  • What is a map
  • Location
  • Size and Scale 
  • Latitude and longitude 
  • Grid
  • How GIS evolved with the digital age 
  • Real world attributes in a layer based structure 
  • Uses of GIS – Examples of GIS use
  • Integration of GIS with the internet, boosting its capabilities
  1. 3. Components of GIS with a short history 
  • Hardware 
  • Software 
  • Data 
  • People 
  • Methods – Designed plans for applying technology which includes Guidelines, Specs, Standards, Procedure
  • Flow of data from collection to representation through a GIS platform 
  1. 4. Data types and representation 
  • Importance of representation 
  • Projections basics, CRS 
  • Vector data 
  • Raster data 
  • Data collection (How Vector and Raster data can be collected/ generated)
  1. 5. Database management
  • Importance of data management 
  • What is DBMS (Database Management System) and Types in short. 
  • Short exercise on practice of management of data. (Exporting various files from QGIS)
  1. 6. Data importing and generation
  • How to import various types of data on a GIS platform 
  • How to create layers on QGIS
  • Digitization on QGIS platform (Snapping tools, Digitization tools)
  • Adding data to the attribute table, joining delimited text files and tabular file, spatial joining plugin, (basic plugins installation)
  1. 7. Data classification (Symbology, scale and orientation)
  2. 8. Basic spatial analysis (Geoprocessing tools)
  3. 9. Map composition (Cartographic elements – Name, colour scheme, map layout, resizing according to area of interest)