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• Week 1: Introduction to Geographic Information System
• Week 2: Raster data model, vector data model and attribute data
• Week 3: Data acquisition techniques, data sources, data capturing techniques and procedures
• Week 4: Data transformation, visualization of spatial data, layers, projections and datum.
• Week 5:Practical Mapping, Symbolization (Arc map 10.4.1)
• Week 6: Symbols to portray point, lines, polygons and volumes,graphic variables, visual hierarchy, Data classification graphic approach, and mathematical approach.
• Week 7: Neighborhood functions, network, and overlay analysis, buffering, spatial data quality, components of data quality, micro level components
• Week 8: Macro level components, usage components, sources of errors in GIS data accuracy and resolution and uncertainty
• Week 9:The application of GIS tools in geographical application
• Week 10: Introduction to GIS Lab (hardware/ software), Raster/ Vector/ Attribute Data Display
• Week 11: Scanning, Digitization, coordinate based point mapping,
• Week 12: Vector Conversion, Data layer integration and display of different projections.
• Week 13: Map layout, Data Classification, Thematic Mapping,
• Week 14: Handling of Topological Errors and GPS
• Week 15: Overlay and network analysis.
• Week 16: Presentations, Quiz, Projects.