Training Sessions

Basics of Geospatial EngineeringData Visualization and Analytics

Course GE101: Basics of Geospatial Engineering

Teaching Faculty: Dr. Priam Pillai, Sharad Shingade and Suman Kumar

Class: BE Computer & Information Technology and BE Civil Engineering

Classroom: O-704, Orchid Wing, 7th Floor, Pillai College of Engineering

Module NameHours
Module: Basic concept of Remote Sensing
What is Remote Sensing?2
Concept of EM Spectrum1
Photogrammetry2
Digital Image Processing3
Module: Concept of Geographic Information System:
What is GIS?2
What is projection and coordinate system?2
GIS: Database and Management system3
Spatial Data Analysis and data visualisation4
Special Seminar3
Module: Planning
Planning - Urban and Rural
Planning Process and Types of Plans1
Salient Concepts, Theories and Principles of Urban Planning2
Sustainable Urban Development and Emerging Concepts of Cities2
Planning Techniques
Tools and Techniques of Surveys – Physical, Topographical, Landuse and Socioeconomic Surveys3
Methods of Non-Spatial and Spatial Data Analysis and Graphical Presentation of Spatial Data
2
Application of G.I.S and Remote Sensing Techniques in Urban and Regional Planning
3
Decision Support System and Land Information System2
Housing
Housing and Housing Typologies2
Concepts, Principles and Examples of Neighbourhood3
Slums; Affordable Housing; Housing for Special Areas and Needs2
Residential Densities; Standards for Housing and Community Facilities3
Special Seminar5
Urban Infrastructure
Transportation3
Water Supply2
Sewerage and Drainage3
Electricity and Communication and Solid Waste Management2
Module: Digital Image processing Software
Erdas Imagine10
Module: GIS Software
ArcGIS15
Open Source GIS Softwares, QGIS5
AutoCAD/ Microstation (Optional)5
Basics Data Visualization and Analytics 5
Python : Panda, Geopanda, Gdal, folium, shapely, Geospatial packages10
R-statistical software : Packages used for Geospatial analysis10
Qlikview / Tableau : Interactive data visualization techniques10
Individual project40

Course GE408: Data Visualization and Analytics

Teaching Faculty: Dr. Priam Pillai, Sharad Shingade and Suman Kumar

Class: BE Computer & Information Technology and BE Civil Engineering

Classroom: O-704, Orchid Wing, 7th Floor, Pillai College of Engineering

Module NameHours
Module 1: Basic concepts
Non-spatial data1
Spatial Data1
Statistical analysis of data2
Introduction of different data visualization techniques2
Module 2 : Data Analysis
Non-spatial Data Analysis5
Spatial Data Analysis5
Module 3 : Data Visualization and analytics using python
Python:
Matplotlib, Pandas, Geopandas, Seaborn, ggplot, Bokeh and geoplotlib
40
Module 4 : Data Visualization and analytics using softwares
Mapbox / Carto studio10
Qlikview / Tableau / FusionCharts30
Individual project32