GIS

1. Introduction to GIS
   • Definition and history of GIS
   • Components of GIS (hardware, software, data, people, methods)
   • Applications and uses of GIS in various fields
2. Geographic Data Concepts
   • Types of geographic data (spatial and non-spatial)
   • Data models: Vector and Raster
   • Data sources (satellite imagery, GPS, surveys, remote sensing)
   • Map projections and coordinate systems
3. Data Acquisition and Input
   • Data collection methods (field survey, GPS, digitization, scanning)
   • Data entry and editing
   • Georeferencing and transformation
4. Spatial Data Management
   • Database concepts in GIS
   • Attribute data and tables
   • Data storage, retrieval, and organization
   • Metadata and data quality
5. Spatial Analysis and Modeling
   • Query and selection (attribute and spatial queries)
   • Buffering, overlay, and proximity analysis
   • Network analysis (routing, service areas)
   • Surface analysis (DEM, slope, aspect)
   • Spatial interpolation
6. Cartography and Visualization
   • Map design and layout
   • Symbolization and labeling
   • Thematic mapping (choropleth, dot density, heat maps)
   • 3D visualization and animation
7. Remote Sensing Basics
   • Principles of remote sensing
   • Types of sensors and satellites
   • Image interpretation and classification
8. GIS Software and Tools
   • Overview of popular GIS software (ArcGIS, QGIS, etc.)
   • Basic operations and interface
   • Data import/export and format conversion
9. Applications of GIS
   • Urban planning and management
   • Environmental monitoring
   • Disaster management
   • Agriculture, forestry, and resource management
   • Transportation and logistics
10. Web GIS and Mobile GIS
    • Introduction to Web GIS
    • Online mapping platforms
    • Mobile data collection and field apps
11. Project Work
    • Real-world GIS project (data collection, analysis, mapping, reporting)
    • Presentation and documentation

Software

Arcgis,QGIS