CDAC Entrance Exam Syllabus

Admissions to all PG Diploma courses of C-DAC are done through C-DAC’s Computerized Common Admission Test (C-CAT). Every year, C-CAT is usually conducted in June and December.
As you want the syllabus of Geoinformatics Courses of CDAC entrance exam so here I am providing you

Syllabus of C-DAC’s Geoinformatics Courses

1. Geographic Information Systems-
Computer architecture
Operating systems
Network systems
Components of GIS
GIS functionality
Applications of GIS
Overview of GIS software

2. Map Projections-
Basic geodesy
Geoid/Datum/Ellipsoid
Coordinate systems
Scale factor
Distortion on map projections
Classification of map projections
Polyconic, LCC, Mercator, UTM
projections
Map projection transformation
Surveying

3. Geographic Data-
Spatial and non-spatial data
Vector and raster data models
Vector and raster data structures
Data compression
Choice between raster and vector
Data transformations
Georeferencing
Data sources & data input
Digitisation
Data editing
Edge matching/Mosaicking
Linking spatial and non-spatial data
Errors and quality control
Data storage
Data formats
Database concepts
Database management in GIS

4. Global Positioning Systems-
Satellite constellation
GPS signals and data
GPS receivers
Single point positioning
Measuring distance and timing
GPS accuracy
Error corrections
Differential GPS
Glonass and Galileo systems
Applications of GPS
Carrying out a GPS survey

5. Photogrammetry-
Elements of photogrammetry
Aerial photography
Photogrammetric sensing systems
Aerial photogrammetry
Satellite photogrammetry
Image parallax & stereoscopy
Orthophotography
Aerotriangulation
Measurements from photos/imageries
Photogrammetric project planning
Dynamic Terrain Visualisation
Flythrough

6. Remote Sensing-
Electromagnetic radiation
Energy interactions
Spectral response patterns
Energy recording technology
Across-track and along-track scanning
Resolutions
Multispectral remote sensing
Thermal remote sensing
Hyperspectral remote sensing
Microwave remote sensing
SAR and SLR
Radar image interpretation
Interferometric radar
Passive microwave sensing
Light detection and ranging (LIDAR)
Earth resource satellites
Applications of remote sensing

7. Digital Image Processing-
Remote sensing data formats
Visual image interpretation
Radiometric and geometric correction
Image enhancement
Contrast enhancement
Spatial filtering
Image transformation
Spectral ratioing
Principal component analysis
Image data fusion
Image classification
Supervised classification
Unsupervised classification
Fuzzy classification
Post-classification analysis
Neural networks
Context analysis
Overview of DIP Systems
RS and GIS integration

8. Spatial Analysis-
Statistical analysis
Measurement
Proximity analysis (buffering)
Overlay analysis
Classification
Network analysis
Multi-criteria analysis
Site suitability analysis
Nearest neighbour analysis
Thiessen polygons
Surface mapping
Interpolation (including TIN)
Digital elevation model (DEM)
Terrain reclassification
Slope, aspect, angle of incidence,
etc.
Visibility (viewshed) analysis
Variogram and kriging
Regression and correlation analysis
Gravity modelling
Change detection
Spatial and non-spatial query

9. Digital Cartography-
Categories of maps
Cartographic objects and databases
Data measurement
Cartographic design
Colour and pattern
Map lettering
Map compilation
Map scale
Generalisation
Symbolisation
Dot, isarithmic and choropleth
mapping
3D, multivariate and dynamic mapping
Map production

10. Trends in GIS-
HTML
Web GIS
3D GIS
Object Oriented GIS
Mobile GIS
Location-based services
Knowledge-based GIS
Spatial data warehousing
Spatial data mining
Metadata
Data interoperability
Open GIS consortium
GIS customisation
GIS design and implementation

Project-
Application of GIS and remote sensing
Team work
Design and execution of project
Project report preparation
Presentation

Case study-
(i) e-Governance
(ii) Defence
(iii) Urban Development
(iv) Infrastructure Planning
(v) Site Suitability Analysis
(vi) Road Information System
(vii) Disaster Management
(viii) Terrain Analysis
(ix) Watershed Development
(x) Agriculture
(xi) Biodiversity
(xii) Mineral Mapping
(xiii) Health
(xiv) Web GIS Application

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